{"eval":{"version":"openagentskill-skill-eval-v1","slug":"alirezarezvani-agent-launcher-orchestrator","name":"agent-launcher-orchestrator","generated_at":"2026-09-06T17:59:28.224Z","task_input":"Evaluate agent-launcher-orchestrator before installing it in an AI agent workflow","status":"failed","score":81,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, network or browser access","auto_install_allowed":false,"policy":"block","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"]},"install":{"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","ready":true,"policy":"review","safety_label":"Review before install","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 alirezarezvani-agent-launcher-orchestrator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agent-launcher-orchestrator\" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" as a Claude Code skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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."}]},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","evidence":{"stars":"25K GitHub stars","repoActivity":"25K stars, 3.5K forks","lastPushed":"10d since push","license":"MIT","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":86,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"safety_gate":{"score":58,"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate agent-launcher-orchestrator before installing it in an AI agent workflow","research","Workflow automation workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator"]},{"id":"trust_score","label":"Trust score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","25K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":86,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":58,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":84,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"10d since push","evidence":["10d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":50,"required_for_auto_install":true,"detail":"shell or command execution, network or browser access","evidence":["Shell or command execution: high","Network access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["yanliudesign-mono-color-skill","mvanhorn-last30days-skill","imbad0202-academic-research-skills","assafelovic-gpt-researcher"]}],"blockers":["Permission surface: shell or command execution, network or browser access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"alternatives":[{"slug":"yanliudesign-mono-color-skill","name":"mono-color","url":"https://www.openagentskill.com/skills/yanliudesign-mono-color-skill","stars":1919,"install_command":"npx skills add yanliudesign/mono-color-skill --skill mono-color","trust_score":85,"audit_score":93},{"slug":"mvanhorn-last30days-skill","name":"Last30days Skill","url":"https://www.openagentskill.com/skills/mvanhorn-last30days-skill","stars":60956,"install_command":"npx skills add mvanhorn/last30days-skill -g","trust_score":94,"audit_score":95},{"slug":"imbad0202-academic-research-skills","name":"Academic Research Skills","url":"https://www.openagentskill.com/skills/imbad0202-academic-research-skills","stars":38374,"install_command":"npx skills add Imbad0202/academic-research-skills","trust_score":89,"audit_score":91},{"slug":"assafelovic-gpt-researcher","name":"GPT Researcher","url":"https://www.openagentskill.com/skills/assafelovic-gpt-researcher","stars":27966,"install_command":"npx skills add assafelovic/gpt-researcher","trust_score":85,"audit_score":90}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"alirezarezvani-agent-launcher-orchestrator","name":"agent-launcher-orchestrator","description":"Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM","category":"research","url":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","github_repo":"alirezarezvani/claude-skills"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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 alirezarezvani-agent-launcher-orchestrator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agent-launcher-orchestrator\" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" as a Claude Code skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator 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: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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/alirezarezvani-agent-launcher-orchestrator/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"25K GitHub stars","repoActivity":"25K stars, 3.5K forks","lastPushed":"10d since push","license":"MIT","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Strong README/SKILL.md context","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":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"known_risks":["The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"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":86,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","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."},"quality":{"score":95,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"10d since push","risk":"Needs review"},"alternative_skills":[{"slug":"yanliudesign-mono-color-skill","name":"mono-color","url":"https://www.openagentskill.com/skills/yanliudesign-mono-color-skill","stars":1919,"install_command":"npx skills add yanliudesign/mono-color-skill --skill mono-color","trust_score":85,"audit_score":93},{"slug":"mvanhorn-last30days-skill","name":"Last30days Skill","url":"https://www.openagentskill.com/skills/mvanhorn-last30days-skill","stars":60956,"install_command":"npx skills add mvanhorn/last30days-skill -g","trust_score":94,"audit_score":95},{"slug":"imbad0202-academic-research-skills","name":"Academic Research Skills","url":"https://www.openagentskill.com/skills/imbad0202-academic-research-skills","stars":38374,"install_command":"npx skills add Imbad0202/academic-research-skills","trust_score":89,"audit_score":91},{"slug":"assafelovic-gpt-researcher","name":"GPT Researcher","url":"https://www.openagentskill.com/skills/assafelovic-gpt-researcher","stars":27966,"install_command":"npx skills add assafelovic/gpt-researcher","trust_score":85,"audit_score":90}],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"agent_contract":{"task_input":"Evaluate agent-launcher-orchestrator before installing it in an AI agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 86/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"alirezarezvani-agent-launcher-orchestrator (agent-launcher-orchestrator)","install_command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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":"alirezarezvani-agent-launcher-orchestrator","task":"Evaluate agent-launcher-orchestrator before installing it in an AI agent workflow","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/alirezarezvani-agent-launcher-orchestrator","api":"https://www.openagentskill.com/api/agent/skills/alirezarezvani-agent-launcher-orchestrator","audit":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator&task=Evaluate%20agent-launcher-orchestrator%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20agent-launcher-orchestrator%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20agent-launcher-orchestrator%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/alirezarezvani-agent-launcher-orchestrator/install","manifest":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"}},"endpoints":{"web":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator","api":"https://www.openagentskill.com/api/agent/skills/alirezarezvani-agent-launcher-orchestrator","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator","audit":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20agent-launcher-orchestrator%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium"}},"meta":{"endpoint":"/api/agent/evals","mode":"skill_eval","purpose":"Pre-install eval contract for a single skill. Agents should read this before installing a reusable skill.","generated_at":"2026-09-06T17:59:28.224Z"}}