Rapport d’audit du skill
lov-any2pdf Rapport d’audit.
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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Info62
207 stars GitHub
Activité stars/forks
Avertissement57
207 stars et 32 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
2 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info62
command execution surface, external package install surface
Disponibilité de l’installation
Validé92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Dépôt
88
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
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.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
62
command execution surface, external package install surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, filesystem or document access
Activité stars/forks
57
207 stars et 32 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
207 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- 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
Méthode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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