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Bytesagain Doc Summarizer

Name: Bytesagain Doc Summarizer
Author: loutai0307-prog

作者 loutai0307-prog · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

111

总下载

当前安装

版本数

在 OpenClaw 中安装

/install bytesagain-doc-summarizer

功能描述

Summarize and analyze text documents without external APIs. Use when extracting key points from reports, ranking bullet points, identifying keywords, checkin...

使用说明 (SKILL.md)

bytesagain-doc-summarizer

Summarize, analyze, and extract insights from text documents. Supports extractive summarization, keyword extraction, readability stats, outline detection, and document comparison — all without external APIs.

Usage

bytesagain-doc-summarizer summary \x3Cfile>
bytesagain-doc-summarizer bullets \x3Cfile>
bytesagain-doc-summarizer keywords \x3Cfile>
bytesagain-doc-summarizer stats \x3Cfile>
bytesagain-doc-summarizer outline \x3Cfile>
bytesagain-doc-summarizer compare \x3Cfile1> \x3Cfile2>

Commands

summary — Extract 3-5 key sentences as an extractive summary
bullets — Generate ranked bullet points from most important sentences
keywords — Extract and rank top 20 keywords with frequency chart
stats — Word count, sentence count, reading time, and text metrics
outline — Detect document structure from Markdown headers or numbered sections
compare — Compare vocabulary overlap and unique terms between two documents

Examples

bytesagain-doc-summarizer summary report.txt
bytesagain-doc-summarizer bullets meeting-notes.md
bytesagain-doc-summarizer keywords article.txt
bytesagain-doc-summarizer stats essay.md
bytesagain-doc-summarizer outline documentation.md
bytesagain-doc-summarizer compare v1.txt v2.txt

Requirements

bash
python3

When to Use

Use when you need to quickly digest long documents, extract key points from reports, analyze text metrics, or compare two document versions for content differences.

安全使用建议

This skill appears to do only local text processing and does not request credentials or make network calls — that matches its description. However, the bundled script has a bug: the embedded Python blocks use a single-quoted here-doc so shell variables like $file are not expanded, meaning the tool will likely fail to open the file you pass. Before installing or running: (1) inspect or run the script locally and fix the here-docs (remove the single quotes so variables expand, or pass filenames via command-line args into Python); (2) run it on non-sensitive sample files first to confirm behavior; and (3) because the script reads any file you point it at, avoid passing secrets or system configuration files to it. If you want a turnkey fix, ask the author to remove the single quotes on the here-doc delimiters (or otherwise inject the filename safely into the Python code).

能力评估

✓ Purpose & Capability

Name/description promise local document summarization and analysis; the provided shell script and embedded Python implement summary, bullets, keywords, stats, outline, and compare using only local file reads and text processing. Required tools (bash, python3) match the stated purpose and no unrelated credentials or binaries are requested.

ℹ Instruction Scope

The SKILL.md usage and commands align with the script. However, the script uses single-quoted here-documents (<< 'PYEOF') but embeds "$file", "$f1", "$f2" etc. inside the Python code. Because the here-doc delimiter is single-quoted, shell variable expansion is suppressed and the Python code will attempt to open files literally named "$file" (not the intended path). This is a functional bug (not a secret-exfiltration or scope creep). The script otherwise only reads the files the user supplies and does not send data externally.

✓ Install Mechanism

No install spec or external downloads are provided; this is instruction-only with a bundled script. No archives or remote installers are used, so there is minimal install risk.

✓ Credentials

The skill requires no environment variables, credentials, or config paths. That is proportional to its stated functionality (local text processing).

✓ Persistence & Privilege

The skill does not request permanent presence (always:false) nor modify system settings. It is user-invocable and can run autonomously per platform default, which is expected for skills; no elevated or persistent privileges are requested.

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 bytesagain-doc-summarizer
安装完成后，直接呼叫该 Skill 的名称或使用 /bytesagain-doc-summarizer 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

v1.0.1

Add YAML metadata: homepage, source, description with Use when

v1.0.0

Initial release

元数据

Slug bytesagain-doc-summarizer

版本 1.0.1

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 2

常见问题