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Nebutra

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mineru

An AI-Native skill for parsing PDF / Office / image files into Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use w

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Precio sin confirmar★ 112 Estrellas de GitHubRegistro actualizado · 7 sept 2026agent-skill

Resumen

An AI-Native skill for parsing PDF / Office / image files into Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use when converting PDF/Word/PPT/Excel/image documents, extracting text/tables/formulas, running OCR, or batch processing.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

Ver fuente ↗
Metadatos del archivo
name: mineru
description: "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."
homepage: https://mineru.net
metadata:
  author: Nebutra
  version: "3.3.1"
  argument-hint: <pdf-file-or-url>
  openclaw:
    emoji: "📄"
    requires:
      bins: ["python3"]
Ver texto original
---
name: mineru
description: "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."
homepage: https://mineru.net
metadata:
  author: Nebutra
  version: "3.3.1"
  argument-hint: <pdf-file-or-url>
  openclaw:
    emoji: "📄"
    requires:
      bins: ["python3"]
---

# 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)

```bash
# 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](https://peps.python.org/pep-0723/) inline
metadata, so [uv](https://docs.astral.sh/uv/) runs it directly — no venv, no
`pip install`, with a uv-managed interpreter:

```bash
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

```bash
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

| Modality | Extensions | OCR |
|----------|-----------|-----|
| PDF | `.pdf` | `--ocr` |
| Image | `.png .jpg .jpeg .jp2 .webp .gif .bmp` | built-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:

```bash
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:

```bash
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](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

```bash
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](references/api_reference.md). Official docs:
https://mineru.net/apiManage/docs · Token: https://mineru.net/apiManage/token

Revisar el código fuente

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Licencia
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Licencia: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The skill relies on an external cloud API (MinerU) and requires network access; users should be aware of data privacy implications when sending documents to a third-party service.
  • The skill supports many optional delivery integrations (Notion, Slack, etc.) that require environment variables; misconfiguration could lead to unintended data exposure, but this is opt-in and clearly documented.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 112 stars, 5 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
Nebutra/MinerU-Skill
Licencia
MIT
Versión
1.0.0
Último push de GitHub
24 jul 2026
Registro actualizado
7 sept 2026
Ruta de instrucciones
SKILL.md @ c5f4536f7d9c

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

61/100

Prometedor

Confianza

55/100

Do not auto-install

Auditoría

70/100

Requiere revisión

Abrir auditoría completaVer informe de evaluación
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The skill relies on an external cloud API (MinerU) and requires network access; users should be aware of data privacy implications when sending documents to a third-party service.
  • The skill supports many optional delivery integrations (Notion, Slack, etc.) that require environment variables; misconfiguration could lead to unintended data exposure, but this is opt-in and clearly documented.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 112 stars, 5 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "nebutra-mineru (mineru)",
      "install_command": "",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "nebutra-mineru",
      "task": "Use mineru in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/nebutra-mineru",
    "api": "https://www.openagentskill.com/api/agent/skills/nebutra-mineru",
    "audit": "https://www.openagentskill.com/skills/nebutra-mineru/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=nebutra-mineru&task=Use%20mineru%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20mineru%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20mineru%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/nebutra-mineru/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/nebutra-mineru"
  }
}

Para el creador

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Creador
Nebutra
Indexado por
Índice comunitario de OpenAgentSkill

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