{"query":"yyl-benchmark-breakdown","filters":{"category":null,"platform":null,"track":null,"safety":null,"include_blocked":false,"min_stars":0},"total":1,"skills":[{"rank":1,"match_type":"exact","match_score":99,"raw_match_score":853.3,"semantic_relevance":100,"ranking_signals":{"retrieval":832,"semantic":100,"quality":9.8,"projectPopularity":11.6,"verifiedOutcomes":0,"verifiedSource":0},"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。","tagline":"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","tags":["agent-skill"],"author":{"name":"ttfake92-lab","verified":false,"url":"https://github.com/ttfake92-lab"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"ttfake92-lab/skills","creatorName":"ttfake92-lab","creatorUrl":"https://github.com/ttfake92-lab","sourceUrl":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":206,"forks":33,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":39.01},"quality":{"score":64,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"206","tone":"neutral"},{"label":"Freshness","value":"7d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity."]},"trust":{"version":"trust-score-v4","score":66,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"206 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"206 stars, 33 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"7d since push"},{"id":"license","label":"License clarity","score":42,"weight":0.09,"status":"warn","detail":"Unknown"},{"id":"documentation","label":"README/SKILL.md completeness","score":52,"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 ttfake92-lab/skills --skill yyl-benchmark-breakdown"},{"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/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","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":"info","label":"GitHub adoption","detail":"206 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"206 stars, 33 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"7d since push"},{"status":"warn","label":"License clarity","detail":"Unknown"},{"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 ttfake92-lab/skills --skill yyl-benchmark-breakdown"},{"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/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","License is unclear","Quality score needs review","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"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":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","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","7d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","License is unclear","Quality score needs review","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata"]},"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":["automation","agent-skill"],"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":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","License is unclear","Quality score needs review","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":63,"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":["License is unclear","63/100 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":"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":["License is unclear","63/100 agent safety score"]},"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":"Coding agents","description":"I need a coding agent that can understand a repository, edit code, and review pull requests.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":206,"starsLabel":"206","forks":33,"license":"Unknown","qualityScore":64,"trustScore":66,"auditScore":75},"maintenance":{"status":"fresh","label":"7d since push","daysSincePush":7,"lastPushedAt":"2026-08-31T13:08:15+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["License is unclear","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"]},"coverageTags":["Coding","Coding agents","automation","agent-skill"]},"audit":{"audit_score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","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"]},"decision":{"readiness_score":63,"readiness_label":"Prototype first","headline":"Fallback candidate for Browser automation","role":"Fallback candidate","primary_fit":"Browser automation","best_for":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects"],"risks":["Repository license is unknown; consider adding a clear open-source license to avoid ambiguity.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Browser 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."]},"agent_readable_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":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","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":66,"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":"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":["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","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown","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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","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","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown"]},"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":64,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d since push","risk":"Needs review"},"alternative_skills":[],"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","License is unclear","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"],"agent_contract":{"task_input":"Use yyl-benchmark-breakdown in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 66/100 Manual review","Audit: 75/100 Needs review","Safety: 63/100 Review before 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; 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":"ttfake92-lab-yyl-benchmark-breakdown","task":"Use yyl-benchmark-breakdown in an 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=Use%20yyl-benchmark-breakdown%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20yyl-benchmark-breakdown%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20yyl-benchmark-breakdown%20in%20an%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"}},"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":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","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":66,"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":"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":["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","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown","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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","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","Documentation summary is thin","Stars/forks activity: 206 stars, 33 forks; issue activity unavailable in current metadata","License clarity: Unknown"]},"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":64,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d since push","risk":"Needs review"},"alternative_skills":[],"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","License is unclear","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"],"agent_contract":{"task_input":"Use yyl-benchmark-breakdown in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 66/100 Manual review","Audit: 75/100 Needs review","Safety: 63/100 Review before 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; 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":"ttfake92-lab-yyl-benchmark-breakdown","task":"Use yyl-benchmark-breakdown in an 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=Use%20yyl-benchmark-breakdown%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20yyl-benchmark-breakdown%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20yyl-benchmark-breakdown%20in%20an%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"}},"platforms":["Claude Code"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"install":"npx skills add ttfake92-lab/skills --skill yyl-benchmark-breakdown","install_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 ttfake92-lab-yyl-benchmark-breakdown","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 \"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.","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 \"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.","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 \"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.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown","github_repo":"ttfake92-lab/skills","version":"1.0.0","license":"Unknown","updated_at":"2026-09-01T11:59:28.941454+00:00","canonical_key":"ttfake92-lab/skills#skills/yyl-benchmark-breakdown","recommendation_reasons":["Matches task terms: yyl, benchmark, breakdown","Install handoff is available","Repository freshness signal is available","Registry match score 99"],"urls":{"web":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown","api":"https://www.openagentskill.com/api/agent/skills/ttfake92-lab-yyl-benchmark-breakdown","install_api":"https://www.openagentskill.com/api/skills/ttfake92-lab-yyl-benchmark-breakdown/install","audit":"https://www.openagentskill.com/skills/ttfake92-lab-yyl-benchmark-breakdown/audit","repository":"https://github.com/ttfake92-lab/skills/tree/main/skills/yyl-benchmark-breakdown"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/resolve","ranking_model":"hybrid-v2-task-fit-quality-outcomes","shortlist_policy":"Return one best match plus up to four distinct alternatives; suppress unrelated direct-name matches.","lookup_intent":true,"exact_match_found":true,"match_counts":{"exact":1,"near":0,"related":0},"no_match_message":null,"safety_policy":"Blocked candidates are excluded by default. Pass include_blocked=true only for manual audit workflows.","agent_friendly":true,"api_version":"1.0","generated_at":"2026-09-08T09:02:45.697Z"}}