Informe de auditoría del skill
lov-any2pdf Informe de auditoría.
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 de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
207 estrellas de GitHub
Actividad de stars/forks
Advertencia57
207 estrellas y 32 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Info62
command execution surface, external package install surface
Disponibilidad de instalación
Aprobado92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Info62
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Repositorio
88
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por 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.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
62
command execution surface, external package install surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
62
shell or command execution, filesystem or document access
Actividad de stars/forks
57
207 estrellas y 32 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
207 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- 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
Método
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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