{"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.","tagline":"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","category":"research","tags":["agent-skill"],"author":{"name":"lovstudio","verified":false,"url":"https://github.com/lovstudio"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"lovstudio/any2pdf","creatorName":"lovstudio","creatorUrl":"https://github.com/lovstudio","sourceUrl":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf#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":207,"forks":32,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":39.48},"quality":{"score":70,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"207","tone":"neutral"},{"label":"Freshness","value":"26d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["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."]},"trust":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"207 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"26d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":62,"weight":0.12,"status":"info","detail":"command execution surface, external package install surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"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":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"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":"207 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"26d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, external package install surface"},{"status":"pass","label":"Install availability","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"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":["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"],"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"},"installReadiness":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","26d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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"]},"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":["research","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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["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":{"score":46,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","46/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","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"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","46/100 agent safety score"]},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Document processing","description":"I need my agent to read PDFs, extract tables, and turn documents into structured data.","useCases":[{"slug":"document-processing","title":"Document processing"},{"slug":"design-creative","title":"Design and creative"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":207,"starsLabel":"207","forks":32,"license":"MIT","qualityScore":70,"trustScore":73,"auditScore":78},"maintenance":{"status":"fresh","label":"26d since push","daysSincePush":26,"lastPushedAt":"2026-08-10T17:35:57+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["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"]},"coverageTags":["Research","Document processing","agent-skill"]},"audit":{"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"]},"decision":{"readiness_score":69,"readiness_label":"Prototype first","headline":"Fallback candidate for Document processing","role":"Fallback candidate","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","builders willing to evaluate younger projects"],"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.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"agent_readable_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":[],"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":"Use lov-any2pdf in an 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":"Use lov-any2pdf 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/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=Use%20lov-any2pdf%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20lov-any2pdf%20in%20an%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"}},"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":[],"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":"Use lov-any2pdf in an 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":"Use lov-any2pdf 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/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=Use%20lov-any2pdf%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20lov-any2pdf%20in%20an%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"}},"platforms":["Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","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 lovstudio-lov-any2pdf","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 \"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.","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 \"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.","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 \"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.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","github_repo":"lovstudio/any2pdf","version":"1.0.0","license":"MIT","updated_at":"2026-09-06T06:55:53.919634+00:00","canonical_key":"lovstudio/any2pdf#lov-any2pdf","recommendation_reasons":["Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","api":"https://www.openagentskill.com/api/agent/skills/lovstudio-lov-any2pdf","install_api":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","audit":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/audit","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},"meta":{"endpoint":"/api/registry/manifest/{slug}","canonical_agent_endpoint":"/api/agent/skills/lovstudio-lov-any2pdf","agent_friendly":true,"api_version":"1.0","generated_at":"2026-09-06T11:20:41.757Z"}}