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Pro Zh Summary

作者 erickong · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
311
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install pro-zh-summary
功能描述
专业级中文长文本摘要工具。当用户要求“总结”、“摘要”、“提炼要点”、“缩写”或处理超长中文文本时,必须调用此工具进行自动分段与压缩。
安全使用建议
This skill appears coherent with its description, but check the following before installing: (1) It requires heavy ML dependencies (transformers, torch, sentencepiece) plus fastapi/uvicorn/requests — the SKILL.md package list omits some of these; install requirements.txt in an isolated environment. (2) On first run server.py will download the model "heack/HeackMT5-ZhSum100k" from the Hugging Face hub and cache it to disk — verify you trust that model repo and expect the network and storage usage. (3) The skill launches a local background process (127.0.0.1:28199) to serve summaries; make sure this behavior is acceptable and run it in a disposable/isolated environment if you have privacy or resource concerns. (4) If you need guarantees about the model's provenance or license, inspect the model repository before use. Otherwise the bundle is internally consistent and matches its stated purpose.
功能分析
Type: OpenClaw Skill Name: pro-zh-summary Version: 1.1.0 The skill is a legitimate Chinese text summarization tool using a local MT5 model. It employs a client-server architecture where `main.py` acts as a CLI and `server.py` hosts a FastAPI-based inference engine on a local port (28199) to keep the model in memory for performance. While it uses `subprocess.Popen` to silently launch the backend server and allows reading local files via the `--file` argument, these behaviors are consistent with its stated purpose of processing long documents and optimizing AI agent response times. No evidence of data exfiltration, malicious persistence, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description (Chinese long-text summarization) align with the included code: main.py + server.py implement a local summarization microservice using transformers/torch and expose a /summarize endpoint. Requesting model artifacts and ML packages is expected for this purpose.
Instruction Scope
SKILL.md instructs running python main.py which matches the entry point. The code reads user-provided text, --file, or stdin (all reasonable). Note: server.py calls transformers.from_pretrained(MODEL_NAME) at startup, which will fetch model artifacts from the Hugging Face hub at runtime — this network activity and disk caching is not explicitly documented in SKILL.md and should be expected by the user.
Install Mechanism
There is no formal install spec; the package dependencies are listed in requirements.txt. Runtime model loading will download model weights from the Hugging Face model repo "heack/HeackMT5-ZhSum100k". Downloading large artifacts at runtime is expected for ML skills but increases risk (large network traffic, disk usage). The SKILL.md metadata lists only transformers/torch/sentencepiece while requirements.txt also includes fastapi, uvicorn, requests — an inconsistency that may cause runtime failures if uninstalled.
Credentials
The skill requests no environment variables or credentials. It operates locally and only accesses files explicitly passed via --file or stdin. The only external access is to fetch model artifacts from the Hugging Face hub (public model name); no unexpected credentials are requested.
Persistence & Privilege
always is false and the skill does not change other skills or system-wide configs. It spawns a background local server process for faster subsequent responses, which is reasonable for the described purpose and limited to the skill's own runtime.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install pro-zh-summary
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /pro-zh-summary 触发
  4. 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
v1.1.0
- Optimized for long Chinese text summaries, now automatically segments and compresses input for better results. - Enhanced skill description and usage instructions for clarity. - Added configuration options for maximum summary length and text chunk size. - Updated dependencies to require Python 3.8+ with specific packages: transformers, torch, and sentencepiece.
元数据
Slug pro-zh-summary
版本 1.1.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Pro Zh Summary 是什么?

专业级中文长文本摘要工具。当用户要求“总结”、“摘要”、“提炼要点”、“缩写”或处理超长中文文本时,必须调用此工具进行自动分段与压缩。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 311 次。

如何安装 Pro Zh Summary?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install pro-zh-summary」即可一键安装,无需额外配置。

Pro Zh Summary 是免费的吗?

是的,Pro Zh Summary 完全免费(开源免费),可自由下载、安装和使用。

Pro Zh Summary 支持哪些平台?

Pro Zh Summary 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 Pro Zh Summary?

由 erickong(@erickong)开发并维护,当前版本 v1.1.0。

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