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Book summarizer
作者
Daniel Lélis Baggio
· GitHub ↗
· v1.0.1
· MIT-0
179
总下载
1
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install book-summarizer
功能描述
Use this skill when the user wants a long-form book summarized in the user's preferred language at an explicitly verified 20 percent compression ratio, with...
使用说明 (SKILL.md)
\r \r
Book Summarizer\r
\r Use this skill for requests like:\r \r
- "Summarize this book at a 20% compression ratio"\r
- "Generate a substantial summary and verify the ratio"\r
- "Produce the summary in batches and validate the final total"\r \r
Rules\r
\r
- Default target ratio:
0.20\r - Default tolerance:
0.02\r - Accept only summaries between
18%and22%of the original word count\r - Output must be in user's language of choice (e.g., pt-BR)\r
- If the ratio is outside the allowed range, do not import the summary\r
- In chat-only mode, if the source is very large, generate the summary in multiple batches and merge them before validation\r
- All packaged helper scripts live in
scripts/inside this skill folder\r \r
Workflow\r
\r
- Start from a local plain-text book file or a downloaded Project Gutenberg text.\r
- Count the source words with
python scripts/book_tools.py count \x3Coriginal_file>.\r - Compute the target summary length with
python scripts/book_tools.py target \x3Coriginal_file> --ratio 0.20.\r - If the source is too large for one reply, split it with
python scripts/split_book.py \x3Coriginal_file> 3000.\r - Draft summary batches in order, preserving chronology and section fidelity.\r
- Merge the batches with
python scripts/book_tools.py aggregate \x3Csummary_file> \x3Cbatch_files...>.\r - Validate the final ratio with
python scripts/verify_summary_ratio.py \x3Coriginal_file> \x3Csummary_file>.\r \r
Key Files\r
\r
scripts/book_tools.py\rscripts/split_book.py\rscripts/verify_summary_ratio.py\rSKILL.md\r \r
Notes\r
\r
- The packaged scripts use only the Python standard library.\r
- Run the commands from the skill folder, or use explicit paths if you call them from elsewhere.\r
- For very large books, prefer the automated pipeline over single-turn chat drafting.\r
- In chat-only mode, books above roughly 80k words should be summarized over multiple turns; do not pretend a single short draft satisfies the 20% rule.\r \r \r
安全使用建议
This package is internally consistent and only operates on local text files via bundled Python scripts. Before installing: (1) ensure you have a Python runtime available (the skill's metadata omits this dependency), (2) be aware that summarization normally involves sending book text to the model/provider — do not use it for sensitive/private documents unless you trust your model endpoint, and (3) respect copyright for non-public works. The code is small and uses only the standard library; review it yourself if you want to confirm behavior locally.
功能分析
Type: OpenClaw Skill
Name: book-summarizer
Version: 1.0.1
The book-summarizer skill bundle is a well-structured toolset for processing long-form text. The included Python scripts (book_tools.py, split_book.py, and verify_summary_ratio.py) use only the Python standard library to perform word counting, file splitting, and result aggregation. The instructions in SKILL.md are consistent with the stated purpose of achieving a specific compression ratio and do not contain any malicious prompt-injection attempts or unauthorized data access requests.
能力评估
Purpose & Capability
Name/description match the included scripts and instructions. The three Python helper scripts implement counting, splitting, aggregating, and ratio verification which are appropriate for a summarizer. Minor mismatch: the skill declares no required binaries but the SKILL.md and scripts assume a Python runtime (commands like `python scripts/...`).
Instruction Scope
SKILL.md confines activity to local files and the provided scripts (count, split, aggregate, verify). It also instructs the agent to draft summary batches 'in chat' — which implies sending book text to the LLM provider during summarization. The skill itself does not add remote endpoints, but using it will typically transmit source text to whatever model/service the agent invokes.
Install Mechanism
No install spec (instruction-only). Scripts are bundled and rely only on the Python standard library; nothing is downloaded or executed from external URLs.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not require unrelated secrets or system credentials.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system presence. It does not modify other skills or system-wide settings.
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 book-summarizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/book-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
- Added a warning to the description: the skill may consume many tokens because it can run multiple times to meet the requested compression rate.
- No functional or workflow changes. All rules and procedures remain the same.
v1.0.0
- Initial release of the Book Summarizer skill.
- Summarizes long-form books to a verified 20% compression ratio (18%–22% accepted).
- Supports user’s language preference for summary output.
- Handles large books by batching summaries and merging them before ratio validation.
- Includes Python scripts for word counting, batch splitting, merging, and ratio verification.
- Strictly rejects summaries outside the allowed compression range.
元数据
常见问题
Book summarizer 是什么？
Use this skill when the user wants a long-form book summarized in the user's preferred language at an explicitly verified 20 percent compression ratio, with... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 179 次。
如何安装 Book summarizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install book-summarizer」即可一键安装，无需额外配置。
Book summarizer 是免费的吗？
是的，Book summarizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Book summarizer 支持哪些平台？
Book summarizer 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 Book summarizer？
由 Daniel Lélis Baggio（@dannyxyz22）开发并维护，当前版本 v1.0.1。
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