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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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Prix non confirmé★ 112 Stars GitHubRegistre mis à jour · 7 sept. 2026agent-skill

Vue d’ensemble

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.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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

Voir la source ↗
Métadonnées du fichier
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"]
Voir le texte 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

Examiner la source

Prix et coûts d’utilisation

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Licence
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Source à réexaminer

La source a changé ou sa synchronisation a échoué. Vérifiez-la avant installation.

Réviser avant installation: Éviter l’installation automatique

Licence: 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
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
Nebutra/MinerU-Skill
Licence
MIT
Version
1.0.0
Dernier push GitHub
24 juil. 2026
Registre mis à jour
7 sept. 2026
Chemin des instructions
SKILL.md @ c5f4536f7d9c

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

61/100

Prometteur

Confiance

55/100

Do not auto-install

Audit

70/100

Revue nécessaire

Ouvrir l’audit completVoir le rapport d’évaluation
  • 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
Verified installs
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Résultats
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Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails
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      "stars": 5222,
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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"
  }
}

Pour le créateur

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur
Nebutra
Indexé par
Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à Nebutra, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nebutra-mineru?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nebutra-mineru?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![Agent Proven](https://www.openagentskill.com/api/badge/nebutra-mineru?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nebutra-mineru?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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