MinerU-Skill — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Nebutra · Claude Skill · ★ 94

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is MinerU-Skill safe to install? View the security audit →

About MinerU-Skill

MinerU Skill An AI-Native document parser built for AI agents — turn PDF, Office & image files into clean Markdown with zero API key, zero install, and fast parallel batches. 中文文档 | English ⚡ Try it in 5 seconds (no signup

ai-agentsai-skillclaude-codecursordocument-parserdocument-processingdocxlatexllmmarkdown

Quick Facts

Stars94
Forks3
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score65.6836942987024/100
Open Issues4
Last Updated2026-07-24
Created2026-02-13
Platformsclaude-code, cli, python
Est. Tokens~93k

Compatible Skills

These tools work well together with MinerU-Skill for enhanced workflows:

  • pdfmux — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)
  • pdf-mcp — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • ExtractThinker — semantic(0.38)+complementary+rare_topics+same_lang+shared_platform (62%)

MinerU-Skill alternative? Top 6 similar tools

Looking for a MinerU-Skill alternative? If you're comparing MinerU-Skill with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • LT2MD by libnyx · ⭐ 110

    AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text besi

  • pdf-mcp by jztan · ⭐ 136

    MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a

  • pdfmux by NameetP · ⭐ 82

    PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • textbook-to-note by drpwchen · ⭐ 96

    Turn your own PDF textbooks into an AI-searchable knowledge base and structured, fully-cited notes — figures i

  • zettelkasten-mcp by entanglr · ⭐ 164

    A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allow

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Frequently Asked Questions

What is MinerU-Skill?

MinerU-Skill is AI-Native document parser: PDF, Office & images → clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI & skill for Claude Code, Cursor & AI agents.. It is categorized as a Claude Skill with 94 GitHub stars.

What programming language is MinerU-Skill written in?

MinerU-Skill is primarily written in Python. It covers topics such as ai-agents, ai-skill, claude-code.

How do I install or use MinerU-Skill?

You can find installation instructions and usage details in the MinerU-Skill GitHub repository at github.com/Nebutra/MinerU-Skill. The project has 94 stars and 3 forks, indicating an active community.

What license does MinerU-Skill use?

MinerU-Skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to MinerU-Skill?

The top alternatives to MinerU-Skill on Agent Skills Hub include LT2MD, pdf-mcp, pdfmux. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools