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在 OpenClaw 中安装
/install pdf-figure-extractor
功能描述
从PDF论文中精确提取Figure图片，自动分析PDF结构、定位caption位置、裁剪干净图形，并验证图片质量。支持学术新闻稿、论文写作等场景的自动化图片处理。
安全使用建议
This skill is an instruction-only recipe for extracting figures from PDFs and appears to do what it claims. Before using it: (1) ensure the agent/runtime has Python and the PyMuPDF package (import fitz) installed — the SKILL.md uses fitz but does not list this dependency; (2) run it on non-sensitive sample PDFs first to tune crop coordinates and verify captions are removed; (3) process private or confidential PDFs in a trusted, isolated environment since the skill will read full PDF contents; (4) if you need automated installs, add a controlled install step (e.g., pip install PyMuPDF) rather than relying on implicit environment assumptions. If you want higher assurance, ask the author for an explicit dependency list and a test vector.
功能分析
Type: OpenClaw Skill
Name: pdf-figure-extractor
Version: 1.0.0
The skill bundle 'pdf-figure-extractor' is designed to automate the extraction of figures from PDF documents using the PyMuPDF (fitz) library. The provided Python snippets in SKILL.md demonstrate standard PDF text block analysis and image cropping techniques without any signs of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
The name/description (PDF figure extraction) matches the SKILL.md: it contains concrete Python examples that analyze PDF text blocks, locate captions, compute crop rectangles, render, and save images. All requested operations are consistent with extracting figures.
Instruction Scope
Instructions operate only on a PDF input (pdf_path, page_num) and explain how to find captions and crop images. They do not instruct reading unrelated filesystem paths or environment secrets. Note: the instructions rely on heuristics and hardcoded coordinate templates which may need tuning for diverse PDFs.
Install Mechanism
This is an instruction-only skill with no install spec. The example code uses the 'fitz' module (PyMuPDF) but the skill does not declare that dependency or advise installing it. That omission reduces completeness/coherence but is not malicious.
Credentials
No environment variables, credentials, or config paths are requested. The skill only requires access to PDFs provided by the user, which is proportionate to its purpose.
Persistence & Privilege
always is false and there is no indication the skill requests persistent privileges or modifies system/agent-wide settings. Autonomous invocation is allowed (platform default) but not excessive here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pdf-figure-extractor - 安装完成后，直接呼叫该 Skill 的名称或使用
/pdf-figure-extractor触发 - 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
Version 1.0.0
- 首次发布，支持从PDF论文中自动分析结构、准确定位caption并裁剪提取纯净Figure图片。
- 去除caption文字和正文，确保图片干净，适用于学术新闻稿和论文写作。
- 支持批量提取、多子图识别及图片质量验证。
- 提供适配Nature/Science和会议论文等常见PDF布局的操作规范与最佳实践。
- 包含详细错误处理和质量核查指南。
元数据
常见问题
Pdf Figure Extractor 是什么？
从PDF论文中精确提取Figure图片，自动分析PDF结构、定位caption位置、裁剪干净图形，并验证图片质量。支持学术新闻稿、论文写作等场景的自动化图片处理。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 227 次。
如何安装 Pdf Figure Extractor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pdf-figure-extractor」即可一键安装，无需额外配置。
Pdf Figure Extractor 是免费的吗？
是的，Pdf Figure Extractor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pdf Figure Extractor 支持哪些平台？
Pdf Figure Extractor 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 Pdf Figure Extractor？
由 438061781（@438061781）开发并维护，当前版本 v1.0.0。
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