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etoile04

Mineru Pdf

作者 Etoile04 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
894
总下载
0
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install mineru-pdf
功能描述
Parse PDF documents with MinerU MCP to extract text, tables, and formulas. Supports multiple backends including MLX-accelerated inference on Apple Silicon.
安全使用建议
This skill appears to do what it says: parse PDFs via MinerU MCP or the included Python wrapper. Before installing or running it: (1) ensure you trust the uvx/mcp-mineru package source and be aware that model downloads may occur on first use; (2) run parse.py with an explicit output_dir to avoid accidental writes to sensitive locations; (3) do not run test.sh without inspecting or replacing its default PDF path (it points to an inbound media file under ~/.openclaw); and (4) if you need stronger isolation, run the tool in a sandbox or VM since it will create persistent files and may download model artifacts.
功能分析
Type: OpenClaw Skill Name: mineru-pdf Version: 1.0.0 The skill is classified as suspicious due to a shell injection vulnerability found in the `test.sh` script. The script directly interpolates the `$PDF_FILE` variable into a Python string executed by `uvx`, which could allow an attacker to inject arbitrary commands if the `PDF_FILE` variable contains malicious characters. While `parse.py` uses `argparse` for robust input handling, the `test.sh` script demonstrates a critical RCE risk pattern. No evidence of intentional malicious behavior (e.g., data exfiltration, persistence, or prompt injection against the agent) was found in other files like `SKILL.md` or `parse.py`.
能力评估
Purpose & Capability
Name/description match the included files and instructions: the SKILL.md and parse.py call MinerU components (via uvx/mcp-mineru or direct Python), and the declared required binary (uvx) is actually used in examples. There are no unrelated binaries or unexpected credential requests.
Instruction Scope
Instructions focus on parsing PDFs and saving outputs. parse.py reads a user-supplied PDF and writes parsed files to an output directory (persistent storage). Note: examples use absolute local paths (e.g., /Users/lwj04/...), and test.sh has a default PDF path under .openclaw/media/inbound — running the test.sh unmodified could act on that inbound file. This behavior is expected for a parsing tool but users should be aware it writes persistent files and that example paths are hard-coded.
Install Mechanism
No registry install spec is required by the platform; SKILL.md recommends installing via uvx / mcp-mineru (a package-managed installation). There are no downloads from unknown URLs or archive extractions in the skill files themselves.
Credentials
The skill declares no environment variables or credentials and only depends on the uvx binary and the MinerU Python package. That is proportionate for a PDF-parsing wrapper which either invokes uvx/mcp-mineru or imports mineru modules.
Persistence & Privilege
always is false and the skill does not request elevated system-wide privileges or modify other skills' configs. It writes output files to user-specified directories (intentional persistence), which is expected for this use case.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mineru-pdf
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mineru-pdf 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of mineru-pdf, a PDF parser supporting text, tables, and formulas with Apple Silicon optimization. - Parse PDF documents using MinerU MCP to extract structured content (text, tables, formulas) - Supports multiple backends including MLX for Apple Silicon and a general pipeline - Provides both a direct parsing tool (persistent output) and MinerU MCP integration (temporary output) - Handles advanced options: specific page ranges, backend selection, table/formula toggles - Returns structured Markdown output with metadata, Markdown tables, and LaTeX for formulas - Supports PDF and various image formats; built-in OCR for scanned documents
元数据
Slug mineru-pdf
版本 1.0.0
许可证
累计安装 7
当前安装数 7
历史版本数 1
常见问题

Mineru Pdf 是什么?

Parse PDF documents with MinerU MCP to extract text, tables, and formulas. Supports multiple backends including MLX-accelerated inference on Apple Silicon. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 894 次。

如何安装 Mineru Pdf?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mineru-pdf」即可一键安装,无需额外配置。

Mineru Pdf 是免费的吗?

是的,Mineru Pdf 完全免费(开源免费),可自由下载、安装和使用。

Mineru Pdf 支持哪些平台?

Mineru Pdf 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Mineru Pdf?

由 Etoile04(@etoile04)开发并维护,当前版本 v1.0.0。

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