{"eval":{"version":"openagentskill-skill-eval-v1","slug":"ttfake92-lab-yyl-benchmark-breakdown","name":"yyl-benchmark-breakdown","generated_at":"2026-09-08T09:55:22.683Z","task_input":"Evaluate yyl-benchmark-breakdown before installing it in an AI agent workflow","status":"failed","score":60,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Agent safety gate: This skill should not be selected by an agent without explicit human security review.","auto_install_allowed":false,"policy":"block","human_review_required":true},"task_fit":{"score":84,"suited_tasks":["Multimodal media workflows","Claude Code teams","builders willing to evaluate younger projects","Read media metadata","Convert formats","Summarize visual or audio content","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"]},"install":{"command":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","ready":true,"policy":"block","safety_label":"Avoid automatic 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 ttfake92-lab-yyl-benchmark-breakdown"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"yyl-benchmark-breakdown\" agent skill from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown. 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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 \"yyl-benchmark-breakdown\" as a Claude Code skill from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown. 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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 \"yyl-benchmark-breakdown\" from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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":60,"label":"Manual review","version":"trust-score-v4","evidence":{"stars":"206 GitHub stars","repoActivity":"206 stars, 33 forks","lastPushed":"7d since push","license":"Unknown","repository":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown","install":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":71,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Dependency or permission surface needs review","Permission surface may require sandboxing","Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","The skill relies on external services (Docker, local APIs) that may not be pre-installed; setup complexity is high but well-documented.","Potential legal/ethical concerns around scraping content from social platforms; skill should include a note to respect platform terms of service.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"]},"safety_gate":{"score":31,"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","blocked":true,"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":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","License is unclear"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate yyl-benchmark-breakdown before installing it in an AI agent workflow","automation","Multimodal media workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown"]},{"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 ttfake92-lab/skills --skill yyl-benchmark-breakdown"]},{"id":"trust_score","label":"Trust score","status":"warn","score":60,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","206 GitHub stars","Unknown"]},{"id":"audit_score","label":"Audit score","status":"warn","score":71,"required_for_auto_install":true,"detail":"Needs review","evidence":["License is unclear"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":31,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"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":"warn","score":42,"required_for_auto_install":true,"detail":"Unknown","evidence":["Unknown"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"7d since push","evidence":["7d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["bytedance-ui-tars-desktop","n8n-io-n8n","harry0703-moneyprinterturbo","arendst-tasmota"]}],"blockers":["Agent safety gate: This skill should not be selected by an agent without explicit human security review.","Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","License clarity: Unknown","High-risk permission hints: Shell or command execution, Secrets or environment access","License is unclear","Dependency or permission surface needs review","Permission surface may require sandboxing","Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","The skill relies on external services (Docker, local APIs) that may not be pre-installed; setup complexity is high but well-documented.","Potential legal/ethical concerns around scraping content from social platforms; skill should include a note to respect platform terms of service.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"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","Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","License is unclear","Dependency or permission surface needs review","Permission surface may require sandboxing"],"alternatives":[{"slug":"bytedance-ui-tars-desktop","name":"UI-TARS Desktop","url":"https://www.openagentskill.com/skills/bytedance-ui-tars-desktop","stars":36958,"install_command":"npx skills add bytedance/UI-TARS-desktop","trust_score":85,"audit_score":90},{"slug":"n8n-io-n8n","name":"n8n","url":"https://www.openagentskill.com/skills/n8n-io-n8n","stars":194085,"install_command":"npx skills add n8n-io/n8n","trust_score":85,"audit_score":89},{"slug":"harry0703-moneyprinterturbo","name":"MoneyPrinterTurbo","url":"https://www.openagentskill.com/skills/harry0703-moneyprinterturbo","stars":88538,"install_command":"npx skills add harry0703/MoneyPrinterTurbo","trust_score":90,"audit_score":92},{"slug":"arendst-tasmota","name":"Tasmota","url":"https://www.openagentskill.com/skills/arendst-tasmota","stars":24730,"install_command":"npx skills add arendst/Tasmota","trust_score":92,"audit_score":94}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"ttfake92-lab-yyl-benchmark-breakdown","name":"yyl-benchmark-breakdown","description":"拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。","category":"automation","url":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown","repository":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown","github_repo":"ttfake92-lab/skills"},"suited_tasks":["Multimodal media workflows","Claude Code teams","builders willing to evaluate younger projects","Read media metadata","Convert formats","Summarize visual or audio content","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","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 ttfake92-lab-yyl-benchmark-breakdown"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"yyl-benchmark-breakdown\" agent skill from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown. 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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 \"yyl-benchmark-breakdown\" as a Claude Code skill from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown. 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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 \"yyl-benchmark-breakdown\" from https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown 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: 拆解对标账号 / 竞品内容——丢一个链接进来,自动识别平台(抖音/小红书/B站/YouTube/公众号)和粒度(单条 or 整个账号),抓取内容后输出三件套:可复用爆款公式、画面+口播逐段拆解、人设与内容定位,并自动存档到 benchmarks/。短视频自动下载 + 转写口播 + 抽视觉帧(contact sheet 多模态读图),不只看 caption。当用户说「拆解这个账号/视频/笔记」「分析对标/竞品」「这条为什么火」「给链接拆内容」「teardown」「看看别人怎么做的」时使用。抓不到内容会引导粘贴文案/字幕,绝不直接报错。 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\":\"ttfake92-lab-yyl-benchmark-breakdown\",\"task\":\"Install yyl-benchmark-breakdown\",\"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/ttfake92-lab-yyl-benchmark-breakdown/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/ttfake92-lab-yyl-benchmark-breakdown"},"trust":{"score":60,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"206 GitHub stars","repoActivity":"206 stars, 33 forks","lastPushed":"7d since push","license":"Unknown","repository":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown","install":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["automation","agent-skill"],"known_risks":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","License is unclear","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":71,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Dependency or permission surface needs review","Permission surface may require sandboxing","Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","The skill relies on external services (Docker, local APIs) that may not be pre-installed; setup complexity is high but well-documented.","Potential legal/ethical concerns around scraping content from social platforms; skill should include a note to respect platform terms of service.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Design and creative production","scenario":"Multimodal media","maintenance":"7d since push","risk":"Needs review"},"alternative_skills":[{"slug":"bytedance-ui-tars-desktop","name":"UI-TARS Desktop","url":"https://www.openagentskill.com/skills/bytedance-ui-tars-desktop","stars":36958,"install_command":"npx skills add bytedance/UI-TARS-desktop","trust_score":85,"audit_score":90},{"slug":"n8n-io-n8n","name":"n8n","url":"https://www.openagentskill.com/skills/n8n-io-n8n","stars":194085,"install_command":"npx skills add n8n-io/n8n","trust_score":85,"audit_score":89},{"slug":"harry0703-moneyprinterturbo","name":"MoneyPrinterTurbo","url":"https://www.openagentskill.com/skills/harry0703-moneyprinterturbo","stars":88538,"install_command":"npx skills add harry0703/MoneyPrinterTurbo","trust_score":90,"audit_score":92},{"slug":"arendst-tasmota","name":"Tasmota","url":"https://www.openagentskill.com/skills/arendst-tasmota","stars":24730,"install_command":"npx skills add arendst/Tasmota","trust_score":92,"audit_score":94}],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","License is unclear","Dependency or permission surface needs review","Permission surface may require sandboxing"],"agent_contract":{"task_input":"Evaluate yyl-benchmark-breakdown before installing it in an AI agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 60/100 Manual review","Audit: 71/100 Needs review","Safety: 31/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"ttfake92-lab-yyl-benchmark-breakdown (yyl-benchmark-breakdown)","install_command":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","risk_summary":"Needs review; Blocked for auto-install; 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":"ttfake92-lab-yyl-benchmark-breakdown","task":"Evaluate yyl-benchmark-breakdown 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/ttfake92-lab-yyl-benchmark-breakdown","api":"https://www.openagentskill.com/api/agent/skills/ttfake92-lab-yyl-benchmark-breakdown","audit":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ttfake92-lab-yyl-benchmark-breakdown&task=Evaluate%20yyl-benchmark-breakdown%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20yyl-benchmark-breakdown%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20yyl-benchmark-breakdown%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/ttfake92-lab-yyl-benchmark-breakdown/install","manifest":"https://www.openagentskill.com/api/registry/manifest/ttfake92-lab-yyl-benchmark-breakdown"}},"endpoints":{"web":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown","api":"https://www.openagentskill.com/api/agent/skills/ttfake92-lab-yyl-benchmark-breakdown","eval":"https://www.openagentskill.com/api/agent/evals?slug=ttfake92-lab-yyl-benchmark-breakdown","audit":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20yyl-benchmark-breakdown%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":"2026-09-08T09:55:22.683Z"}}