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nebutra/mineru-skill436 installs

mineru

An AI-Native skill for parsing PDF / Office / image files into clean Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the lightweight Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use when: (1) Converting PDF/Word/PPT/Excel/image to Markdown, (2) Extracting text, tables, formulas, or running OCR on scanned docs, (3) Batch-parsing a folder in parallel, (4) Piping parsed Markdown straight back to an agent or into Obsidian.

How do I install this agent skill?

npx skills add https://github.com/nebutra/mineru-skill --skill mineru
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    MinerU Skill is a document parsing utility that converts PDFs, Office files, and images into clean Markdown using the MinerU cloud API. It features 17 delivery integrations (sinks) for tools like Notion, Slack, and Obsidian. The skill follows secure engineering practices, such as safe zip extraction and standard credential management via environment variables. A minor risk is present due to an indirect prompt injection surface inherent in parsing untrusted documents without specific output delimiters.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    12/19 files flagged

  • ZeroLeakswarn

    Scan incomplete

What does this agent skill do?

MinerU PDF Parser

Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, automatic routing.

Zero-config quick start (no token, no install)

# Parse a local file or URL — the Agent API needs no login
python3 scripts/mineru.py paper.pdf

# Pipe the Markdown straight back to an agent
python3 scripts/mineru.py paper.pdf --stdout

# Machine-readable status for tool pipelines
python3 scripts/mineru.py paper.pdf --json

No pip install, no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.

Run with uv (zero-install, managed Python)

scripts/mineru.py carries PEP 723 inline metadata, so uv runs it directly — no venv, no pip install, with a uv-managed interpreter:

uv run scripts/mineru.py paper.pdf --stdout       # zero-install run
uv run --no-project --with pytest pytest -q       # dev suite via uv

Power mode (token) — large files, batches, extra formats

export MINERU_TOKEN="..."          # https://mineru.net/apiManage/token

# Parallel batch a directory, resume on re-run
python3 scripts/mineru.py ./pdfs/ --output ./out/ --workers 8 --resume

# Export DOCX/HTML/LaTeX alongside Markdown (auto-routes to the Standard API)
python3 scripts/mineru.py report.pdf --format docx --format latex

When a token is set, the tool auto-routes: small single files still use the free Agent API; anything large (> 10 MB / > 20 pages), batched, or needing extra export formats uses the Standard API (≤ 200 MB / ≤ 200 pages). If the Agent API hits a size/page limit, it auto-escalates to the Standard API.

Supported modalities

ModalityExtensionsOCR
PDF.pdf--ocr
Image.png .jpg .jpeg .jp2 .webp .gif .bmpbuilt-in
Word.doc .docx—
Slides.ppt .pptx—
Sheet.xls .xlsx—
HTML.html (Standard API, MinerU-HTML model)—

Common options

INPUT...          One or more files, a directory, or a URL
--output, -o      Output directory (default: ./output)
--api             auto | agent | standard   (default: auto)
--model           pipeline | vlm | MinerU-HTML  (default: vlm)
--format          docx | html | latex  (repeatable; forces Standard API)
--lang            OCR/document language (default: ch)
--ocr             Enable OCR for scanned documents
--pages           Page range, e.g. "1-10" or "2,4-6"
--workers, -w     Concurrent submit/upload/download slots (default: 8)
--resume          Skip inputs already parsed
--stdout          Print Markdown to stdout
--json            Print machine-readable status to stdout
--to SINK         Deliver into a content tool (repeatable); --list-sinks to enumerate
--obsidian PATH   Shortcut for --to obsidian with this vault
--engine          cloud | local | auto  (local/auto parse born-digital PDFs offline)
--split           Split oversized PDFs past the page caps, parse parts, merge (needs pypdf)
--chunk           Emit heading-aware RAG chunks (.chunks.json + --json)
--doctor          Environment self-check and exit

MCP server

Expose MinerU over MCP (zero-dependency stdio JSON-RPC) so an MCP host can call it:

python3 scripts/mineru_mcp.py

Tools: mineru_parse, mineru_parse_to (parse + deliver to sinks), mineru_list_sinks.

Deliver into your tools (--to)

Parse once and push the Markdown into content tools via each one's official path:

python3 scripts/mineru.py paper.pdf --to obsidian --to notion --to feishu

Targets: obsidian logseq siyuan notion linear yuque coda slack feishu confluence onenote ticktick dingtalk airtable wecom (all zero-dependency), plus roam and wps via optional extras. Each reads its config from env vars (run --list-sinks). Per-target auth, fidelity, and image notes: references/integrations.md.

Output

output/
└── document-name/
    ├── document-name.md    # clean Markdown
    └── images/             # extracted figures (Standard API)

Performance (real, measured)

End-to-end latency for the official demo PDF via the free Agent API: cold ≈ 14 s · warm ≈ 13 s (submit → poll → download). Batches scale with --workers. Numbers come from the no-mock live benchmark in tests/test_live.py.

Testing

python3 -m pytest                      # fast unit suite (offline)
MINERU_LIVE=1 python3 -m pytest -m live -s   # real API + benchmark (no mocks)

API Reference

See references/api_reference.md. Official docs: https://mineru.net/apiManage/docs · Token: https://mineru.net/apiManage/token

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/nebutra/mineru-skill/mineru">View mineru on skillZs</a>