{"task":"Use Pytorch Cheatsheet","agent":"codex","constraints":{"max_risk":"medium","needs_install_command":true,"min_stars":0},"feedback":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","outcome_api":"https://www.openagentskill.com/api/agent/outcome","method":"POST","selected_skill_slug":"lightning-ai-pytorch-lightning","selected_skill_name":"Pytorch Lightning","alternative_skill_slugs":["mrdbourke-pytorch-deep-learning","zergtant-pytorch-handbook","tchapi-markdown-cheatsheet","aaronwangy-data-science-cheatsheet"],"expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"report_after":["After trying the selected skill, report whether it solved the task.","Mark blocked_by_risk when audit, license, credentials, shell, or network risk prevents safe use.","Mark setup_required when the skill looks relevant but needs missing keys, data, or manual configuration.","Mark not_relevant when the selected skill does not match the task after 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Pytorch Lightning trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lightning-ai-pytorch-lightning","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Pytorch Lightning\" agent skill from https://github.com/Lightning-AI/pytorch-lightning. 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Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Pytorch Lightning\" as a Claude Code skill from https://github.com/Lightning-AI/pytorch-lightning. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Pytorch Lightning\" from https://github.com/Lightning-AI/pytorch-lightning into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"lightning-ai-pytorch-lightning","name":"Pytorch Lightning","description":"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.","category":"ml-automation","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning","repository":"https://github.com/Lightning-AI/pytorch-lightning","github_repo":"Lightning-AI/pytorch-lightning"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Lightning-AI/pytorch-lightning","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lightning-ai-pytorch-lightning"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Pytorch Lightning\" agent skill from https://github.com/Lightning-AI/pytorch-lightning. 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Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/lightning-ai-pytorch-lightning"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"31K GitHub stars","repoActivity":"31K stars, 3.7K forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/Lightning-AI/pytorch-lightning","install":"npx skills add Lightning-AI/pytorch-lightning","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["ml-automation","machine-learning","automation","ml-media","ai","artificial-intelligence"],"known_risks":["Documentation summary is thin"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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Skill purpose: A unified framework for Deep Learning Models on tabular data After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"pytorch-tabular-pytorch-tabular\",\"task\":\"Install Pytorch Tabular\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"pytorch-tabular-pytorch-tabular","name":"Pytorch Tabular","description":"A unified framework for Deep Learning Models on tabular data","category":"ml-automation","url":"https://www.openagentskill.com/skills/pytorch-tabular-pytorch-tabular","repository":"https://github.com/pytorch-tabular/pytorch_tabular","github_repo":"pytorch-tabular/pytorch_tabular"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add pytorch-tabular/pytorch_tabular","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add pytorch-tabular-pytorch-tabular"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Pytorch Tabular\" agent skill from https://github.com/pytorch-tabular/pytorch_tabular. 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human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Commercial reuse before clarifying license terms"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["ml-automation","machine-learning","automation","ml-media","biggan","clean-fid"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":68,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Repository appears stale","Repository looks stale","Quality score needs review","Documentation summary is thin"]},"safety":{"score":56,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["License is unclear","56/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["License is unclear"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["License is unclear","56/100 agent safety score"]},"decision":{"readiness_score":67,"readiness_label":"Prototype first","headline":"Fallback candidate for Multimodal media","role":"Fallback candidate","best_for":["Multimodal media workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["Repository looks stale","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Multimodal media task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add POSTECH-CVLab/PyTorch-StudioGAN","value":"Install the \"PyTorch StudioGAN\" agent skill from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"postech-cvlab-pytorch-studiogan\",\"task\":\"Install PyTorch StudioGAN\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review PyTorch StudioGAN trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add postech-cvlab-pytorch-studiogan","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"PyTorch StudioGAN\" agent skill from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN. 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Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"PyTorch StudioGAN\" as a Claude Code skill from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"postech-cvlab-pytorch-studiogan\",\"task\":\"Install PyTorch StudioGAN\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"PyTorch StudioGAN\" from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"postech-cvlab-pytorch-studiogan\",\"task\":\"Install PyTorch StudioGAN\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"postech-cvlab-pytorch-studiogan","name":"PyTorch StudioGAN","description":"StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.","category":"ml-automation","url":"https://www.openagentskill.com/skills/postech-cvlab-pytorch-studiogan","repository":"https://github.com/POSTECH-CVLab/PyTorch-StudioGAN","github_repo":"POSTECH-CVLab/PyTorch-StudioGAN"},"suited_tasks":["Multimodal media workflows","general agent builders","teams that value GitHub adoption signals","Read media metadata","Convert formats","Summarize visual or audio content","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add POSTECH-CVLab/PyTorch-StudioGAN","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add postech-cvlab-pytorch-studiogan"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"PyTorch StudioGAN\" agent skill from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN. 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Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"postech-cvlab-pytorch-studiogan\",\"task\":\"Install PyTorch StudioGAN\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"PyTorch StudioGAN\" from https://github.com/POSTECH-CVLab/PyTorch-StudioGAN into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"postech-cvlab-pytorch-studiogan\",\"task\":\"Install PyTorch StudioGAN\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Pytorch Lightning\" from https://github.com/Lightning-AI/pytorch-lightning into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"lightning-ai-pytorch-lightning","name":"Pytorch Lightning","description":"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.","category":"ml-automation","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning","repository":"https://github.com/Lightning-AI/pytorch-lightning","github_repo":"Lightning-AI/pytorch-lightning"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Lightning-AI/pytorch-lightning","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lightning-ai-pytorch-lightning"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Pytorch Lightning\" agent skill from https://github.com/Lightning-AI/pytorch-lightning. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mrdbourke-pytorch-deep-learning\",\"task\":\"Install Pytorch Deep Learning\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Pytorch Deep Learning\" from https://github.com/mrdbourke/pytorch-deep-learning into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mrdbourke-pytorch-deep-learning\",\"task\":\"Install Pytorch Deep Learning\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"mrdbourke-pytorch-deep-learning","name":"Pytorch Deep Learning","description":"Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.","category":"ml-automation","url":"https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning","repository":"https://github.com/mrdbourke/pytorch-deep-learning","github_repo":"mrdbourke/pytorch-deep-learning"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Jupyter Notebook","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add mrdbourke/pytorch-deep-learning","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add mrdbourke-pytorch-deep-learning"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Pytorch Deep Learning\" agent skill from https://github.com/mrdbourke/pytorch-deep-learning. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mrdbourke-pytorch-deep-learning\",\"task\":\"Install Pytorch Deep Learning\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Pytorch Deep Learning\" as a Claude Code skill from https://github.com/mrdbourke/pytorch-deep-learning. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mrdbourke-pytorch-deep-learning\",\"task\":\"Install Pytorch Deep Learning\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Pytorch Deep Learning\" from https://github.com/mrdbourke/pytorch-deep-learning into a reusable Cursor project rule or agent instruction. 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Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/mrdbourke-pytorch-deep-learning/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/mrdbourke-pytorch-deep-learning"},"trust":{"score":85,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 5.0K forks","lastPushed":"7mo since push","license":"MIT","repository":"https://github.com/mrdbourke/pytorch-deep-learning","install":"npx skills add mrdbourke/pytorch-deep-learning","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["ml-automation","machine-learning","automation","ml-media","deep-learning","pytorch"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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tchapi/markdown-cheatsheet","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","1y since push"]},"agentCompatibility":["Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["document-processing","markdown","documents","markdown-cheatsheet","github"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"trust_v5":{"version":"trust-score-v5","score":75,"base_score":83,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["75/100 Trust Score v5","83/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":94,"weight":0.13,"status":"pass","detail":"5.3K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":96,"weight":0.08,"status":"pass","detail":"5.3K stars, 6.3K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":38,"weight":0.14,"status":"fail","detail":"1y since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":60,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add tchapi/markdown-cheatsheet"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/tchapi/markdown-cheatsheet"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"5.3K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"5.3K stars, 6.3K forks; issue activity unavailable in current metadata"},{"status":"fail","label":"Recent maintenance","detail":"1y since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add tchapi/markdown-cheatsheet"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/tchapi/markdown-cheatsheet"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"5.3K GitHub stars","repoActivity":"5.3K stars, 6.3K forks","lastPushed":"1y since push","license":"MIT","repository":"https://github.com/tchapi/markdown-cheatsheet","install":"npx skills add tchapi/markdown-cheatsheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add tchapi/markdown-cheatsheet","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","1y since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["document-processing","markdown","documents","markdown-cheatsheet","github"],"suited_agents":["Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add tchapi/markdown-cheatsheet","trust_score":75,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["document-processing","markdown","documents","markdown-cheatsheet","github"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":83,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":76,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Repository appears stale","Repository looks stale","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":60,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Documentation summary is thin","60/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Documentation summary is thin","60/100 agent safety score"]},"decision":{"readiness_score":78,"readiness_label":"Strong shortlist","headline":"Companion skill for Document processing","role":"Companion skill","best_for":["Document processing workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["Repository looks stale","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add tchapi/markdown-cheatsheet","value":"Install the \"Markdown Cheatsheet\" agent skill from https://github.com/tchapi/markdown-cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Markdown Cheatsheet trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add tchapi-markdown-cheatsheet","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Markdown Cheatsheet\" agent skill from https://github.com/tchapi/markdown-cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Markdown Cheatsheet\" as a Claude Code skill from https://github.com/tchapi/markdown-cheatsheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Markdown Cheatsheet\" from https://github.com/tchapi/markdown-cheatsheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"tchapi-markdown-cheatsheet","name":"Markdown Cheatsheet","description":"Markdown Cheatsheet for Github Readme.md","category":"document-processing","url":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet","repository":"https://github.com/tchapi/markdown-cheatsheet","github_repo":"tchapi/markdown-cheatsheet"},"suited_tasks":["Document processing workflows","general agent builders","teams that value GitHub adoption signals","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect repository metadata","Compare code changes"],"suited_agents":["Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add tchapi/markdown-cheatsheet","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add tchapi-markdown-cheatsheet"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Markdown Cheatsheet\" agent skill from https://github.com/tchapi/markdown-cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Markdown Cheatsheet\" as a Claude Code skill from https://github.com/tchapi/markdown-cheatsheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Markdown Cheatsheet\" from https://github.com/tchapi/markdown-cheatsheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Markdown Cheatsheet for Github Readme.md After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tchapi-markdown-cheatsheet\",\"task\":\"Install Markdown Cheatsheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/tchapi-markdown-cheatsheet/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/tchapi-markdown-cheatsheet"},"trust":{"score":83,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"5.3K GitHub stars","repoActivity":"5.3K stars, 6.3K forks","lastPushed":"1y since push","license":"MIT","repository":"https://github.com/tchapi/markdown-cheatsheet","install":"npx skills add tchapi/markdown-cheatsheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["document-processing","markdown","documents","markdown-cheatsheet","github"],"known_risks":["Repository looks stale","Documentation summary is thin","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":76,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Repository appears stale","Repository looks stale","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission 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shortlist","Audit: 76/100 Needs review","Safety: 60/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"tchapi-markdown-cheatsheet (Markdown Cheatsheet)","install_command":"npx skills add tchapi/markdown-cheatsheet","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"tchapi-markdown-cheatsheet","task":"Use Pytorch Cheatsheet","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet","api":"https://www.openagentskill.com/api/agent/skills/tchapi-markdown-cheatsheet","audit":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tchapi-markdown-cheatsheet&task=Use%20Pytorch%20Cheatsheet&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/tchapi-markdown-cheatsheet/install","manifest":"https://www.openagentskill.com/api/registry/manifest/tchapi-markdown-cheatsheet"}},"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"urls":{"web":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet","api":"https://www.openagentskill.com/api/agent/skills/tchapi-markdown-cheatsheet","install_api":"https://www.openagentskill.com/api/skills/tchapi-markdown-cheatsheet/install","audit":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tchapi-markdown-cheatsheet&task=Use%20Pytorch%20Cheatsheet&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/tchapi-markdown-cheatsheet?metric=audit","repository":"https://github.com/tchapi/markdown-cheatsheet"}},{"rank":5,"match_score":30,"raw_match_score":125.9,"semantic_relevance":30,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"aaronwangy-data-science-cheatsheet","name":"Data Science Cheatsheet","description":"A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.","category":"ml-automation","github_stars":5436,"created_at":"2026-06-16T09:17:18.045933+00:00","updated_at":"2023-03-15T22:16:54+00:00","repository":"https://github.com/aaronwangy/Data-Science-Cheatsheet","github_repo":"aaronwangy/Data-Science-Cheatsheet","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: cheatsheet","Useful GitHub adoption: 5,436 stars","Install handoff is available","Repository freshness signal is available","Registry match score 30"],"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and 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missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["70/100 Trust Score v5","78/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":94,"weight":0.13,"status":"pass","detail":"5.4K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":88,"weight":0.08,"status":"pass","detail":"5.4K stars, 759 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":22,"weight":0.14,"status":"fail","detail":"3y since push"},{"id":"license","label":"License clarity","score":42,"weight":0.09,"status":"warn","detail":"Unknown"},{"id":"documentation","label":"README/SKILL.md completeness","score":66,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add aaronwangy/Data-Science-Cheatsheet"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aaronwangy/Data-Science-Cheatsheet"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"5.4K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"5.4K stars, 759 forks; issue activity unavailable in current metadata"},{"status":"fail","label":"Recent maintenance","detail":"3y since push"},{"status":"warn","label":"License clarity","detail":"Unknown"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add aaronwangy/Data-Science-Cheatsheet"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aaronwangy/Data-Science-Cheatsheet"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["License is unclear","Repository looks stale","Quality score needs review","Documentation summary is thin","Recent maintenance: 3y since push","License clarity: Unknown","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"5.4K GitHub stars","repoActivity":"5.4K stars, 759 forks","lastPushed":"3y since push","license":"Unknown","repository":"https://github.com/aaronwangy/Data-Science-Cheatsheet","install":"npx skills add aaronwangy/Data-Science-Cheatsheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add aaronwangy/Data-Science-Cheatsheet","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is unclear","No Agent Proven outcome evidence yet","3y since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["TeX","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["License is unclear","Repository looks stale","Quality score needs review","Documentation summary is thin","Recent maintenance: 3y since push"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["ml-automation","machine-learning","automation","ml-media","cheatsheet","data-science"],"suited_agents":["TeX","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add aaronwangy/Data-Science-Cheatsheet","trust_score":70,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Commercial reuse before clarifying license terms"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["ml-automation","machine-learning","automation","ml-media","cheatsheet","data-science"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Commercial reuse before clarifying license terms"],"knownRisks":["License is unclear","Repository looks stale","Quality score needs review","Documentation summary is thin","Recent maintenance: 3y since push","License clarity: Unknown"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":69,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Documentation summary is thin","Repository appears stale","Repository looks stale","Quality score needs review"]},"safety":{"score":57,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["License is unclear","57/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["License is unclear"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["License is unclear","57/100 agent safety score"]},"decision":{"readiness_score":69,"readiness_label":"Prototype first","headline":"Fallback candidate for GitHub automation","role":"Fallback candidate","best_for":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["Repository looks stale","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one GitHub automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add aaronwangy/Data-Science-Cheatsheet","value":"Install the \"Data Science Cheatsheet\" agent skill from https://github.com/aaronwangy/Data-Science-Cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Data Science Cheatsheet trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aaronwangy-data-science-cheatsheet","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Data Science Cheatsheet\" agent skill from https://github.com/aaronwangy/Data-Science-Cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Data Science Cheatsheet\" as a Claude Code skill from https://github.com/aaronwangy/Data-Science-Cheatsheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Data Science Cheatsheet\" from https://github.com/aaronwangy/Data-Science-Cheatsheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"aaronwangy-data-science-cheatsheet","name":"Data Science Cheatsheet","description":"A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.","category":"ml-automation","url":"https://www.openagentskill.com/skills/aaronwangy-data-science-cheatsheet","repository":"https://github.com/aaronwangy/Data-Science-Cheatsheet","github_repo":"aaronwangy/Data-Science-Cheatsheet"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["TeX","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add aaronwangy/Data-Science-Cheatsheet","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aaronwangy-data-science-cheatsheet"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Data Science Cheatsheet\" agent skill from https://github.com/aaronwangy/Data-Science-Cheatsheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Data Science Cheatsheet\" as a Claude Code skill from https://github.com/aaronwangy/Data-Science-Cheatsheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Data Science Cheatsheet\" from https://github.com/aaronwangy/Data-Science-Cheatsheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aaronwangy-data-science-cheatsheet\",\"task\":\"Install Data Science Cheatsheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/aaronwangy-data-science-cheatsheet/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aaronwangy-data-science-cheatsheet"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"5.4K GitHub stars","repoActivity":"5.4K stars, 759 forks","lastPushed":"3y since push","license":"Unknown","repository":"https://github.com/aaronwangy/Data-Science-Cheatsheet","install":"npx skills add aaronwangy/Data-Science-Cheatsheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["ml-automation","machine-learning","automation","ml-media","cheatsheet","data-science"],"known_risks":["License is unclear","Repository looks stale","Quality score needs review","Documentation summary is thin","Recent maintenance: 3y since push","License clarity: Unknown"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":69,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Documentation summary is thin","Repository appears stale","Repository looks stale","Quality score needs review","Recent maintenance: 3y since push","License clarity: Unknown"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":67,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"3y since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that require actively maintained dependencies","production agents without a repository review","Repository looks stale","No OpenAgentSkill engagement data yet","License is unclear","Documentation summary is thin","Repository appears stale","Quality score needs review"],"agent_contract":{"task_input":"Use Pytorch Cheatsheet","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 69/100 Needs review","Safety: 57/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aaronwangy-data-science-cheatsheet (Data Science Cheatsheet)","install_command":"npx skills add aaronwangy/Data-Science-Cheatsheet","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"aaronwangy-data-science-cheatsheet","task":"Use Pytorch Cheatsheet","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/aaronwangy-data-science-cheatsheet","api":"https://www.openagentskill.com/api/agent/skills/aaronwangy-data-science-cheatsheet","audit":"https://www.openagentskill.com/skills/aaronwangy-data-science-cheatsheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aaronwangy-data-science-cheatsheet&task=Use%20Pytorch%20Cheatsheet&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aaronwangy-data-science-cheatsheet/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aaronwangy-data-science-cheatsheet"}},"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"urls":{"web":"https://www.openagentskill.com/skills/aaronwangy-data-science-cheatsheet","api":"https://www.openagentskill.com/api/agent/skills/aaronwangy-data-science-cheatsheet","install_api":"https://www.openagentskill.com/api/skills/aaronwangy-data-science-cheatsheet/install","audit":"https://www.openagentskill.com/skills/aaronwangy-data-science-cheatsheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aaronwangy-data-science-cheatsheet&task=Use%20Pytorch%20Cheatsheet&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/aaronwangy-data-science-cheatsheet?metric=audit","repository":"https://github.com/aaronwangy/Data-Science-Cheatsheet"}}],"blocked_candidates":[],"agent_workflow":{"mode":"resolve_review_install","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","selected_skill":{"slug":"lightning-ai-pytorch-lightning","name":"Pytorch Lightning","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning","repository":"https://github.com/Lightning-AI/pytorch-lightning"},"install":{"target":"codex","label":"Codex install prompt","kind":"agent-prompt","command":"npx skills add Lightning-AI/pytorch-lightning","value":"Install the \"Pytorch Lightning\" agent skill from https://github.com/Lightning-AI/pytorch-lightning. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","api":"https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install"},"copy_paste_prompt":"Task: Use Pytorch Cheatsheet\nUse Pytorch Lightning from https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning.\nReview the audit first: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit\nReview the eval first: https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install\nInstall command: npx skills add Lightning-AI/pytorch-lightning\nIf audit or policy warnings look unsafe for this workspace, use one of the alternatives instead.","api_sequence":[{"step":1,"label":"Resolve task","method":"GET","url":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/lightning-ai-pytorch-lightning"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","skill_slug":"lightning-ai-pytorch-lightning","task":"Use Pytorch Cheatsheet","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}}}],"review_checklist":["Safety tier: Reviewed","Safety score: 80/100 Review before install","Audit score: 92/100 Safe to try","Trust score: 87/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin"],"fallback_strategy":[{"slug":"mrdbourke-pytorch-deep-learning","name":"Pytorch Deep Learning","reason":"Matches task terms: pytorch","url":"https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning","install_api":"https://www.openagentskill.com/api/skills/mrdbourke-pytorch-deep-learning/install"},{"slug":"zergtant-pytorch-handbook","name":"Pytorch Handbook","reason":"Matches task terms: pytorch","url":"https://www.openagentskill.com/skills/zergtant-pytorch-handbook","install_api":"https://www.openagentskill.com/api/skills/zergtant-pytorch-handbook/install"},{"slug":"tchapi-markdown-cheatsheet","name":"Markdown Cheatsheet","reason":"Matches task terms: cheatsheet","url":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet","install_api":"https://www.openagentskill.com/api/skills/tchapi-markdown-cheatsheet/install"}],"expected_agent_output":{"selected_skill":"slug and name","install_command":"command or agent prompt used","risk_summary":"audit, trust, and policy notes","next_step":"what the agent will do after install","outcome_event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e"}},"agent_handoff":{"version":"openagentskill-agent-handoff-v1","mode":"resolve_compare_review_install","task":"Use Pytorch Cheatsheet","agent":"codex","selected_skill":{"slug":"lightning-ai-pytorch-lightning","name":"Pytorch Lightning","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning","api_url":"https://www.openagentskill.com/api/agent/skills/lightning-ai-pytorch-lightning","audit_url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium","repository":"https://github.com/Lightning-AI/pytorch-lightning"},"install_plan":{"command":"npx skills add Lightning-AI/pytorch-lightning","target":"codex","label":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Pytorch Lightning\" agent skill from https://github.com/Lightning-AI/pytorch-lightning. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lightning-ai-pytorch-lightning\",\"task\":\"Install Pytorch Lightning\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","install_api":"https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install","auto_install_allowed":false,"human_review_required":true,"policy":"review"},"api_sequence":[{"step":1,"label":"Resolve task","method":"GET","url":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytorch%20Cheatsheet&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/lightning-ai-pytorch-lightning"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","skill_slug":"lightning-ai-pytorch-lightning","task":"Use Pytorch Cheatsheet","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}}}],"platform_templates":[{"id":"codex","name":"Codex","surface":"Coding agent / local workspace","copy_prompt":"Task: Use Pytorch Cheatsheet\nSelected skill: Pytorch Lightning (lightning-ai-pytorch-lightning)\nSkill URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning\nAudit URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install\nInstall command: npx skills add Lightning-AI/pytorch-lightning\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Pytorch Deep Learning (mrdbourke-pytorch-deep-learning): https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning\n- Pytorch Handbook (zergtant-pytorch-handbook): https://www.openagentskill.com/skills/zergtant-pytorch-handbook\n- Markdown Cheatsheet (tchapi-markdown-cheatsheet): https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet\n\nExpected Codex output:\n- selected_skill\n- install_command\n- risk_summary\n- outcome_event_id\n- alternatives\n- files_or_commands_to_touch\n- next_action"},{"id":"claude-code","name":"Claude Code","surface":"Claude Code skill workflow","copy_prompt":"Task: Use Pytorch Cheatsheet\nSelected skill: Pytorch Lightning (lightning-ai-pytorch-lightning)\nSkill URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning\nAudit URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install\nInstall command: npx skills add Lightning-AI/pytorch-lightning\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Pytorch Deep Learning (mrdbourke-pytorch-deep-learning): https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning\n- Pytorch Handbook (zergtant-pytorch-handbook): https://www.openagentskill.com/skills/zergtant-pytorch-handbook\n- Markdown Cheatsheet (tchapi-markdown-cheatsheet): https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet\n\nExpected Claude Code output:\n- selected_skill\n- skill_files_or_instructions\n- install_prompt\n- risk_summary\n- outcome_event_id\n- activation_steps\n- fallback_skill"},{"id":"cursor","name":"Cursor","surface":"Cursor rules / agent instructions","copy_prompt":"Task: Use Pytorch Cheatsheet\nSelected skill: Pytorch Lightning (lightning-ai-pytorch-lightning)\nSkill URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning\nAudit URL: https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=lightning-ai-pytorch-lightning&task=Use%20Pytorch%20Cheatsheet&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/lightning-ai-pytorch-lightning/install\nInstall command: npx skills add Lightning-AI/pytorch-lightning\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Pytorch Deep Learning (mrdbourke-pytorch-deep-learning): https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning\n- Pytorch Handbook (zergtant-pytorch-handbook): https://www.openagentskill.com/skills/zergtant-pytorch-handbook\n- Markdown Cheatsheet (tchapi-markdown-cheatsheet): https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet\n\nExpected Cursor output:\n- selected_skill\n- cursor_rule_or_prompt\n- install_command\n- risk_summary\n- outcome_event_id\n- when_to_use\n- when_not_to_use"}],"review_checklist":["Safety tier: Reviewed","Safety score: 80/100 Review before install","Audit score: 92/100 Safe to try","Trust score: 87/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin"],"expected_output":{"selected_skill":"slug and name","install_command":"command or agent prompt used","risk_summary":"audit, trust, and policy notes","next_step":"what the agent will do after install","outcome_event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e"},"feedback":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","outcome_api":"https://www.openagentskill.com/api/agent/outcome","cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e\" --skill \"lightning-ai-pytorch-lightning\" --task \"Use Pytorch Cheatsheet\" --agent \"codex\" --outcome success","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"]},"blocked_actions":["Do not install when safety_gate.blocked is true.","Do not install when the audit or eval reports unacceptable workspace risk.","Do not execute shell commands, access secrets, or call external services without user approval.","Do not keep the skill as an always-on instruction if it only fits a narrow task."]},"policy_decision":{"status":"human_review_required","summary":"Review the audit page, then allow agent install in a sandboxed workflow."},"agent_decision":{"input_task":"Use Pytorch Cheatsheet","recommended_skill":{"slug":"lightning-ai-pytorch-lightning","name":"Pytorch Lightning","url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning","audit_url":"https://www.openagentskill.com/skills/lightning-ai-pytorch-lightning/audit","repository":"https://github.com/Lightning-AI/pytorch-lightning","safety_tier":"Reviewed","auto_install_policy":"review"},"alternative_skills":[{"slug":"mrdbourke-pytorch-deep-learning","name":"Pytorch Deep Learning","url":"https://www.openagentskill.com/skills/mrdbourke-pytorch-deep-learning","install_command":"npx skills add mrdbourke/pytorch-deep-learning","why_consider":"Matches task terms: pytorch","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"72/100 Review before install","trust":"85/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"zergtant-pytorch-handbook","name":"Pytorch Handbook","url":"https://www.openagentskill.com/skills/zergtant-pytorch-handbook","install_command":"npx skills add zergtant/pytorch-handbook","why_consider":"Matches task terms: pytorch","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"58/100 Review before install","trust":"78/100 Strong shortlist","notes":["License is unclear","Documentation summary is thin","Repository appears stale","Repository looks stale","Recent maintenance: 2y since push"]}},{"slug":"tchapi-markdown-cheatsheet","name":"Markdown Cheatsheet","url":"https://www.openagentskill.com/skills/tchapi-markdown-cheatsheet","install_command":"npx skills add tchapi/markdown-cheatsheet","why_consider":"Matches task terms: cheatsheet","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"60/100 Review before install","trust":"83/100 Strong shortlist","notes":["Documentation summary is thin","Repository appears stale","Repository looks stale","Recent maintenance: 1y since push","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}}],"install_command":"npx skills add Lightning-AI/pytorch-lightning","install_target":"Codex install prompt","why_recommended":["Matches task terms: pytorch","Strong GitHub adoption: 31,187 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available","Primary pick for GitHub automation"],"risk_summary":{"level":"Safe to try","safety_tier":"Reviewed","safety":"80/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","action":"Review the audit page, then allow agent install in a sandboxed 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aaronwangy/Data-Science-Cheatsheet","trust_score":78,"audit_score":69,"safety_score":57,"why_consider":"Matches task terms: cheatsheet","risk":{"level":"Needs review","safety_tier":"Experimental","safety":"57/100 Review before install","trust":"78/100 Strong shortlist","notes":["License is unclear","Documentation summary is thin","Repository appears stale","Repository looks stale","Quality score needs review"]}}],"outcome_feedback":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"resolve_acdd88eb-5ce2-4e9c-a90c-1db7da72459e","skill_slug":"lightning-ai-pytorch-lightning","task":"Use Pytorch 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