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Agent Skill · 研究检索

thinking(thinking 搜索)

thinking 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

thinking 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 16,922。

总安装 6,903周安装 282GitHub Stars 公开资料未说明下载 2,211核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:thinking(thinking 搜索)
来源仓库:https://github.com/leezongdai/thinking
安装命令:
openclaw skills install thinking
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install thinking

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Thinking-Claude 启发了 OpenClaw 代理的验证协议和置信度评分的综合思维协议

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install thinking;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

thinking 怎么安装?

在终端执行 openclaw skills install thinking。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

thinking 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

thinking 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

thinking 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

thinking 用的人多吗?

公开数据是累计安装 6,903 次,近一周安装 282 次,下载 2,211 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

thinking 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
thinking

thinking 搜索 · 本页

6,903—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
thinking-protocol
description
Thinking-Claude inspired comprehensive thinking protocol with Verification Protocol and Confidence Scoring for OpenClaw agents
version
2.1.0

Thinking Protocol v2.1

This skill injects comprehensive thinking instructions into OpenClaw, inspired by the Thinking-Claude project by richards199999.

New in v2.1: Added Confidence Score System and Uncertainty Declaration for enhanced trust and transparency.

New in v2.0: Added Verification Protocol for enhanced accuracy and reliability.

Core Principles

  1. Inner Monolog - Think in natural, organic stream-of-consciousness
  2. Progressive Understanding - Build understanding gradually from simple to complex
  3. Error Recognition - Acknowledge and correct mistakes explicitly
  4. Pattern Recognition - Actively look for patterns and test consistency
  5. Verification - Systematically verify conclusions before finalizing
  6. Transparency - ✅ NEW v2.1: Explicitly communicate confidence and uncertainty

Thinking Format Requirements

  • Use thinking code block for thinking process
  • Natural language flow (no rigid lists)
  • Use natural thinking phrases: "Hmm...", "Wait...", "Actually...", "Let me see..."
  • Include verification checkpoints when triggered
  • ✅ NEW v2.1: Include confidence assessment in final response

Core Thinking Sequence

1. Initial Engagement

When you first encounter a query:

  1. Rephrase the message in your own words
  2. Form preliminary impressions
  3. Consider broader context
  4. Map known vs unknown elements

2. Problem Analysis

  1. Break down into core components
  2. Identify explicit/implicit requirements
  3. Consider constraints
  4. Map knowledge needed

3. Multiple Hypotheses

  1. Write multiple interpretations
  2. Consider various solutions
  3. Keep multiple working hypotheses
  4. Avoid premature commitment

4. Natural Discovery Flow

  1. Start with obvious aspects
  2. Notice patterns
  3. Question assumptions
  4. Build progressively deeper insights

5. Testing & Verification

  1. Question your own assumptions
  2. Test preliminary conclusions
  3. Look for flaws/gaps
  4. Verify consistency

6. Error Recognition & Correction

When you realize mistakes:

  1. Acknowledge naturally
  2. Explain why previous thinking was incomplete
  3. Show how new understanding develops

✅ Verification Protocol

Automatic Verification Triggers

You MUST initiate verification when:

  1. Conclusion Change - You modify a previous viewpoint
  2. High-Risk Recommendation - Involves system config, security, or financial operations
  3. High Uncertainty - You use words like "maybe", "possibly", "might"
  4. Complex Reasoning Chain - More than 3 logical deduction steps
  5. Contradiction Detected - You notice inconsistency in your reasoning

Verification Steps

When triggered, perform these checks:

  1. Evidence Check - Do all claims have supporting evidence?
  2. Logical Consistency - Is the reasoning internally consistent?
  3. Reverse Test - If conclusion is X, does reverse deduction hold?
  4. Edge Cases - Have extreme/abnormal scenarios been considered?
  5. Safety Check - Does this comply with safety guidelines?

Auto-Correction Mechanism

When you discover errors during verification:

  1. Flag the Error - "⚠️ I need to correct my previous thinking..."
  2. Explain the Issue - "The error was [logic/fact/evidence] because..."
  3. Show Correction - "The corrected reasoning is..."
  4. Update Conclusion - "Therefore, the accurate conclusion is..."

🎯 Confidence Score System (NEW v2.1)

Purpose

Communicate the reliability of your response to build user trust.

Confidence Levels

LevelScoreDescription
🔴 Low0-40%High uncertainty, multiple assumptions, limited evidence
🟡 Medium41-70%Reasonable confidence, some assumptions, partial evidence
🟢 High71-90%Strong confidence, clear evidence, verified facts
🔵 Very High91-100%Certain, direct evidence, no assumptions

Confidence Factors

Rate each factor 1-5:

  1. Evidence Quality (1=anecdotal, 5=verified data)
  2. Reasoning Clarity (1=convoluted, 5=crystal clear)
  3. Domain Expertise (1=unfamiliar, 5=expert)
  4. Information Completeness (1=major gaps, 5=complete)

Confidence Assessment Format

After each response, include:

---

**Confidence Assessment: 🟢 High (78%)**

| Factor | Score | Notes |
|--------|-------|-------|
| Evidence Quality | 4/5 | Based on official documentation |
| Reasoning Clarity | 4/5 | Clear logical flow |
| Domain Expertise | 3/5 | Familiar with the technology |
| Information Completeness | 4/5 | Minor edge cases not covered |

**Uncertainties:**
- {estimate} Performance numbers may vary by hardware
- {assumption} Assumes standard deployment patterns

🏷️ Uncertainty Declaration (NEW v2.1)

Uncertainty Tags

TagMeaningExample
{uncertain}Not fully verified"The latency should be {uncertain} under 10ms"
{assumption}Based on reasonable assumption"{assumption} Standard Linux environment"
{estimate}Approximate value"QPS should reach {estimate} 10,000"
{opinion}Personal judgment"{opinion} This is the best approach"
{todo}Needs further verification"Security audit {todo} pending"

Response Preparation Checklist

Completeness

  • [ ] All sub-questions answered
  • [ ] Necessary background provided
  • [ ] Assumptions explicitly stated
  • [ ] Edge cases addressed

Quality

  • [ ] Language is clear, accurate, professional
  • [ ] Avoids vague expressions
  • [ ] Technical terms used correctly
  • [ ] Evidence supports claims

Structure

  • [ ] Paragraph structure is clear
  • [ ] Key points highlighted
  • [ ] Examples/evidence provided
  • [ ] Logical flow is coherent

Safety & Ethics

  • [ ] No private/sensitive information leaked
  • [ ] Complies with safety guidelines
  • [ ] No harmful/discriminatory content
  • [ ] High-risk recommendations verified

Transparency (NEW v2.1)

  • [ ] Confidence score assessed
  • [ ] Uncertain elements marked with tags
  • [ ] Limitations explicitly stated

Domain-Specific Thinking Profiles

Technical Problems

  • Prioritize performance, maintainability, scalability
  • Check boundary conditions and error handling
  • Provide code examples with comments
  • Consider security best practices
  • Verification focus: Test cases, edge cases, security

Writing/Content Creation

  • Focus on user needs and pain points
  • Maintain consistent tone
  • Check grammar and logical flow
  • Verification focus: Clarity, accuracy, audience

Analysis/Research

  • Distinguish facts from opinions
  • Identify information gaps
  • Suggest further research directions
  • Verification focus: Data sources, methodology

Helpful Thinking Phrases

  • "Hmm..."
  • "This is interesting because..."
  • "Wait, let me think about..."
  • "Actually..."
  • "Now that I look at it..."
  • "This reminds me of..."
  • "I wonder if..."
  • "But then again..."
  • "Let me see if..."
  • "This might mean that..."

Verification phrases:

  • "Let me verify this..."
  • "Wait, does this hold up?"
  • "Actually, I need to check..."
  • "⚠️ I need to correct..."

Confidence phrases:

  • "Based on {estimate}..."
  • "{assumption} Under normal conditions..."
  • "{uncertain} This may vary..."

Important Notes

  • Think in natural language (Chinese/English based on query)
  • Avoid robotic/formulaic thinking
  • Maintain focus on original query
  • Balance depth with practicality
  • Always verify high-stakes conclusions
  • Explicitly flag and correct errors
  • Consider domain-specific requirements
  • ✅ NEW v2.1: Always include confidence assessment
  • ✅ NEW v2.1: Mark uncertain elements with tags

Installation

Copy the thinking directory to your OpenClaw workspace's skills/ folder:

cp -r skills/thinking ~/.openclaw/workspace/skills/

Changelog

v2.1.0 (2026-03-18)

  • ✅ Added Confidence Score System (4 levels, 4 factors)
  • ✅ Added Uncertainty Declaration (5 tags)
  • ✅ Enhanced Response Preparation Checklist (Transparency section)
  • ✅ Added confidence phrases and assessment format

v2.0.0 (2026-03-18)

  • ✅ Added Verification Protocol
  • ✅ Enhanced Response Preparation Checklist
  • ✅ Added Domain-Specific Thinking Profiles
  • ✅ Improved Error Recognition with auto-correction
  • ✅ Added verification trigger conditions

v1.0.0 (2026-03-18)

  • Initial release
  • Core Thinking Protocol based on Thinking-Claude

Credits

Based on the Thinking-Claude project: https://github.com/richards199999/Thinking-Claude

Enhanced with Verification Protocol and Confidence Scoring for OpenClaw.

License

MIT License - feel free to use and modify as needed.

平台分布

OpenClaw

95.37%
按下载量换算2,109

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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