cs

v1.0.0

Automatically extract key points from long texts in Chinese or English using keywords or length triggers, outputting clear, concise bullet-point summaries.

0· 148·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for 1466561686/cs.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "cs" (1466561686/cs) from ClawHub.
Skill page: https://clawhub.ai/1466561686/cs
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install cs

ClawHub CLI

Package manager switcher

npx clawhub@latest install cs
Security Scan
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high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk9761jcy0wsz13acw09wbywmg983g0v2
148downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

📝 智能摘要助手 (Smart Summarizer)

🔍 一键提取长文本核心要点,告别信息过载

Demo Model Lang


🌟 核心能力

✅ 智能触发机制

  • 🔑 关键词触发:消息包含 总结摘要summarizebrief 时自动激活
  • 📏 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
  • 🎯 精准匹配:正则表达式 /总结|摘要|summarize|brief/i,不误触日常聊天

✅ 专业摘要输出

  • 📋 结构化列表:自动使用 bullet points 格式,层次清晰
  • 🌐 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
  • ✂️ 去噪精简:自动过滤寒暄、重复、无关内容,只保留干货
  • 快速响应:温度参数 0.3,确保输出稳定一致

✅ 场景全覆盖

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

🚀 快速开始

1️⃣ 安装技能

openclaw skills install smart-summarizer

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