据 AlphaMoat 统计,截至 2026-09,文档内容总结 Summary & Analysis txt/docx/pdf/xlsx/xls 累计下载 3,261 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 3,494 位,在「知识管理」分类(442 个)中排名第 300 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 34 | 1,329 | - | - |
| SkillHub ↗ | 412 | 3,261 | 1 | — |
各平台的计数口径不同,统计时间不一致。
支持文本、Word、PDF 和 Excel 文件;提取依赖 Python 及对应格式包,需获得本地文件读取和 Python 执行权限。提取内容会发送给模型,文档明确不用于敏感或机密文件。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,261 | — | 1 |
| 2026-08 | 2,521 | +18.9% | 1 |
| 2026-07 | 2,121 | +25.2% | 1 |
| 2026-06 | 1,694 | +21.4% | 1 |
| 2026-05 | 1,395 | — | 1 |
| 2026-03 | 833 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: file-summary description: | 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. ---
# 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:
1. Extract content: `{ "action": "extract/analysis", "file_path": "your_file_path" }` → returns plain text
2. 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)
1. Python 3.8+ (added to system environment variables)
2. 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)
1. Place the tool files in OpenClaw's skill folder:
OpenClaw/skills/file-summary/
├─ SKILL.md (this file)
├─ file2sum.py
2. 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)
1. Put the `file-summary` folder into OpenClaw's `skills` directory
2. Restart OpenClaw
3. 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)
1. Upload the `file-summary` folder (include md/py) to a public platform (e.g. GitHub/Gitee, ClawHub)
2. Share the download link
3. Users import via OpenClaw "Skill Market → Import from URL"把长文本、文档与网页内容压缩成要点和关键词的摘要工具。
通过 IMA OpenAPI 管理笔记与知识库内容。
规定如何为网页请求选择合适工具的必读指引。
调用百度 AI 搜索接口做网页检索的技能。
用 uvx 直接调用 markitdown,把各类文件转成 Markdown。
面向 OpenClaw 的默认网页搜索,实时检索多个引擎。
用 DuckDuckGo 接口做网页、新闻、图片与视频检索的技能。
检索并发现可用 OpenClaw 技能的技能。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。