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1466561686

cs

作者 1466561686 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
151
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install cs
功能描述
Automatically extract key points from long texts in Chinese or English using keywords or length triggers, outputting clear, concise bullet-point summaries.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
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 cs
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cs 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
v1.0.0
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
元数据
Slug cs
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

cs 是什么?

Automatically extract key points from long texts in Chinese or English using keywords or length triggers, outputting clear, concise bullet-point summaries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 151 次。

如何安装 cs?

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

cs 是免费的吗?

是的,cs 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

cs 支持哪些平台?

cs 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 cs?

由 1466561686(@1466561686)开发并维护,当前版本 v1.0.0。

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