Laporan audit skill
lov-any2pdf Laporan 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.
Adopsi GitHub
Info62
207 star GitHub
Aktivitas star/fork
Peringatan57
207 star dan 32 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info62
command execution surface, external package install surface
Ketersediaan pemasangan
Lulus92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info62
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add lovstudio/any2pdf --skill lov-any2pdf
Repositori
88
https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
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.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
62
command execution surface, external package install surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
62
shell or command execution, filesystem or document access
Aktivitas star/fork
57
207 star dan 32 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
207 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- 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
Metode
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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