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1466561686

cs

by 1466561686 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cs
Description
Automatically extract key points from long texts in Chinese or English using keywords or length triggers, outputting clear, concise bullet-point summaries.
README (SKILL.md)

📝 智能摘要助手 (Smart Summarizer)\r

\r

🔍 一键提取长文本核心要点,告别信息过载\r \r Demo\r Model\r Lang\r \r ---\r \r

🌟 核心能力\r

\r

✅ 智能触发机制\r

  • 🔑 关键词触发:消息包含 总结摘要summarizebrief 时自动激活\r
  • 📏 长度触发:纯文本超过 100 字符时,即使无关键词也会尝试摘要\r
  • 🎯 精准匹配:正则表达式 /总结|摘要|summarize|brief/i,不误触日常聊天\r \r

✅ 专业摘要输出\r

  • 📋 结构化列表:自动使用 bullet points 格式,层次清晰\r
  • 🌐 语言自适应:输入中文输出中文,输入英文输出英文,混合内容智能处理\r
  • ✂️ 去噪精简:自动过滤寒暄、重复、无关内容,只保留干货\r
  • 快速响应:温度参数 0.3,确保输出稳定一致\r \r

✅ 场景全覆盖\r

| 场景 | 示例输入 | 输出效果 |\r |-----|---------|---------|\r | 📧 邮件摘要 | 长邮件正文 | 3-5 条核心事项 + 行动点 |\r | 🗣️ 会议记录 | 讨论纪要文本 | 议题列表 + 决策结论 + 待办 |\r | 📰 文章提炼 | 新闻/博客全文 | 核心观点 + 关键数据 + 结论 |\r | 💬 聊天记录 | 群聊长篇讨论 | 争议点 + 共识 + 下一步 |\r \r ---\r \r

🚀 快速开始\r

\r

1️⃣ 安装技能\r

openclaw skills install smart-summarizer
Usage Guidance
This skill appears to do exactly what it says: it watches incoming messages and, when triggered by keywords or length, sends the message text to the configured LLM and returns a bullet-point summary. There are no requested secrets or external downloads. Before installing, consider: (1) privacy — summaries require sending full message text to your LLM provider, so avoid using it with highly sensitive data unless your provider/policy permits; (2) triggers — it will auto-activate on messages containing the listed keywords or >100 characters, so it may run in some conversations you didn't intend; (3) naming mismatch — the registry slug, README install command, and code id differ (cosmetic but check you are installing the intended skill). If those points are acceptable, the skill is coherent and low-risk.
Capability Analysis
Type: OpenClaw Skill Name: cs Version: 1.0.0 The skill is a standard text summarization tool that functions exactly as described in SKILL.md. The implementation in summarizer.ts uses the framework's LLM interface to process user input based on keyword or length triggers, with no evidence of data exfiltration, unauthorized system access, or malicious prompt injection.
Capability Assessment
Purpose & Capability
The skill's name/description, SKILL.md, and code all describe a summarizer and the required behavior (keyword and length triggers). Minor naming inconsistencies exist: registry slug is 'cs', SKILL.md shows an install command for 'smart-summarizer', and the code defines id 'summarizer' — likely harmless but worth noting for clarity.
Instruction Scope
SKILL.md and summarizer.ts limit behavior to reading the incoming message text, applying a simple trigger (keyword regex or length), and forwarding the text to the platform-provided LLM. There are no instructions to read files, environment variables, or external endpoints beyond the LLM API.
Install Mechanism
No install specification is provided (instruction-only with a single code file). Nothing is downloaded or written to disk by the skill itself, which is the lowest-risk install profile.
Credentials
The skill declares no required environment variables, credentials, or config paths. The runtime uses the platform's llm.chat API (expected for an LLM-based summarizer).
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skills/config. It uses normal autonomous invocation (disable-model-invocation is false), which is expected.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cs
  3. After installation, invoke the skill by name or use /cs
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Version 1.0.0 - Replaced C programming reference and safety rules with a new skill: 智能摘要助手 (Intelligent Summarizer Assistant) - Added core summarization functionality in summarizer.ts - Removed all previous C-topic reference and rules files (memory.md, pointers.md, preprocessor.md, strings.md, types.md, undefined.md) - Updated SKILL.md with new description, feature list, and usage examples for the summarizer skill
Metadata
Slug cs
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is cs?

Automatically extract key points from long texts in Chinese or English using keywords or length triggers, outputting clear, concise bullet-point summaries. It is an AI Agent Skill for Claude Code / OpenClaw, with 151 downloads so far.

How do I install cs?

Run "/install cs" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is cs free?

Yes, cs is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does cs support?

cs is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created cs?

It is built and maintained by 1466561686 (@1466561686); the current version is v1.0.0.

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