Case 03982
A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.
npx -y skills add knownasnaffy/prompthound --skill case_03982Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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local document summary & analysis tool. triggers: 帮我总结, 总结文件, 分析文档, 分析总结, 总结一下, 分析一下 summarize for me, analyze for me, summarize the file, analyze the document, file summary, document analysis Supported formats: txt, docx, pdf, xlsx, xls ⚠️ Privacy Note: Extracted content will be sent to OpenClaw LLM for summary/analysis — DO NOT use with sensitive/confidential files.
SKILL.md
3.5 KB, 796 tokens by cl100k_base, as published. Nobody here has run it
File Summary & Analysis Tool (文件总结与分析工具)
A universal tool for extracting text from local documents and generating summaries/analysis, supporting both Chinese and English trigger words.
Token Extraction (参数提取)
Chinese Input Example (中文示例)
From user input 帮我总结 D:\测试.pdf → file_path = D:\测试.pdf
English Input Example (英文示例)
From user input summarize for me C:\test.pdf → file_path = C:\test.pdf
Actions (操作指令)
Extract Document Content (提取文档内容)
{ "action": "extract", "file_path": "D:\测试.pdf" } { "action": "extract", "file_path": "C:\test.pdf" }
Returns (返回结果):
- Success: Plain text content of the document (txt/docx/pdf/xlsx/xls)
- Error: Error message starting with ❌ (e.g. ❌ File not found, ❌ Unsupported format)
Generate Summary/Analysis (生成总结/分析)
{ "action": "summary", "file_path": "D:\测试.pdf" } { "action": "analysis", "file_path": "C:\test.pdf" }
Returns (返回结果):
- Summary: Concise key-point summary of the document content (integrated with OpenClaw LLM)
- Analysis: In-depth analysis of the document content (integrated with OpenClaw LLM)
Workflow (工作流程)
To summarize/analyze a local document:
- Extract content:
{ "action": "extract/analysis", "file_path": "your_file_path" }→ returns plain text - Generate result: OpenClaw LLM summarizes/analyzes the extracted text automatically
Configuration (配置项)
channels: local: tools: file_summary: true # default: true python: true # required - need Python environment
Dependency (依赖环境)
Required Environment (必备环境)
- Python 3.8+ (added to system environment variables)
- Required Python packages (auto-installed by script):
- python-docx (for docx)
- pypdf (for pdf)
- openpyxl (for xlsx)
- xlrd==1.2.0 (for xls)
Tool Path Configuration (工具路径配置)
- Place the tool files in OpenClaw's skill folder: OpenClaw/skills/file-summary/ ├─ SKILL.md (this file) ├─ file2sum.py
- Set the execution command in OpenClaw: ${skill_path}\file2sum.py
Permissions (权限要求)
Required (必备):
- Local file read permission (user needs to grant file access)
- Python execute permission (no special system permissions required)
Usage (使用方法)
Local Deployment (本地部署)
- Put the
file-summaryfolder into OpenClaw'sskillsdirectory - Restart OpenClaw
- Input Examples (输入示例):
- Chinese (中文): "帮我总结 D:\测试.pdf", "分析文档 C:\数据\销售表.xlsx"
- English (英文): "summarize for me C:\test.pdf", "analyze the document D:\data\sales.xlsx"
Public Deployment (公开发布)
- Upload the
file-summaryfolder (include md/py) to a public platform (e.g. GitHub/Gitee, ClawHub) - Share the download link
- Users import via OpenClaw "Skill Market → Import from URL"