{"eval":{"version":"openagentskill-skill-eval-v1","slug":"lovstudio-lov-any2pdf","name":"lov-any2pdf","generated_at":"2026-09-06T12:25:12.038Z","task_input":"Evaluate lov-any2pdf before installing it in an AI agent workflow","status":"review","score":69,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":84,"suited_tasks":["Document processing workflows","Claude Code teams","builders willing to evaluate younger projects","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","ready":true,"policy":"review","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 lovstudio-lov-any2pdf"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"lov-any2pdf\" agent skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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 \"lov-any2pdf\" as a Claude Code skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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 \"lov-any2pdf\" from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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":73,"label":"Strong shortlist","version":"trust-score-v4","evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"safety_gate":{"score":46,"tier":"experimental","label":"Experimental","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":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision"]},"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 lov-any2pdf before installing it in an AI agent workflow","research","Document processing 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 lovstudio/any2pdf --skill lov-any2pdf"]},{"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 lovstudio/any2pdf --skill lov-any2pdf"]},{"id":"trust_score","label":"Trust score","status":"warn","score":73,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","207 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":46,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: 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":"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":"26d since push","evidence":["26d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":62,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Browser automation: medium","Network 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":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"],"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 script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"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":"lovstudio-lov-any2pdf","name":"lov-any2pdf","description":"Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source.","category":"research","url":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","github_repo":"lovstudio/any2pdf"},"suited_tasks":["Document processing workflows","Claude Code teams","builders willing to evaluate younger projects","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","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 lovstudio-lov-any2pdf"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"lov-any2pdf\" agent skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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 \"lov-any2pdf\" as a Claude Code skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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 \"lov-any2pdf\" from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf 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: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. 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\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"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/lovstudio-lov-any2pdf/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document 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","agent-skill"],"known_risks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"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":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Document processing","maintenance":"26d 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 script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Evaluate lov-any2pdf before installing it in an AI agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 46/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"lovstudio-lov-any2pdf (lov-any2pdf)","install_command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"lovstudio-lov-any2pdf","task":"Evaluate lov-any2pdf 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/lovstudio-lov-any2pdf","api":"https://www.openagentskill.com/api/agent/skills/lovstudio-lov-any2pdf","audit":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=lovstudio-lov-any2pdf&task=Evaluate%20lov-any2pdf%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20lov-any2pdf%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20lov-any2pdf%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","manifest":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"}},"endpoints":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","api":"https://www.openagentskill.com/api/agent/skills/lovstudio-lov-any2pdf","eval":"https://www.openagentskill.com/api/agent/evals?slug=lovstudio-lov-any2pdf","audit":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20lov-any2pdf%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":"2026-09-06T12:25:12.039Z"}}