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Agent Skill · 研究检索

reinforced-thinking-mode(强化思维模式)

reinforced-thinking-mode 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。

reinforced-thinking-mode 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 7,045。

总安装 20,136周安装 839GitHub Stars 1下载 6,712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
1.1.0

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:reinforced-thinking-mode(强化思维模式)
来源仓库:https://github.com/stofancy/reinforced-thinking-mode
安装命令:
openclaw skills install reinforced-thinking-mode
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 reinforced-thinking-mode

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。

多轮独立深度思考,每轮生成完整解决方案。无迭代约束,适合发散性任务规划。提升复杂问题的分析能力。reinforced-thinking-mode 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install reinforced-thinking-mode。

使用前建议确认权限范围和维护状态,避免触发未授权操作。

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 reinforced-thinking-mode;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

reinforced-thinking-mode 怎么安装?

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

reinforced-thinking-mode 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。

reinforced-thinking-mode 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。

reinforced-thinking-mode 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。

reinforced-thinking-mode 用的人多吗?

公开数据是累计安装 20,136 次,近一周安装 839 次,下载 6,712 次,GitHub 1 星。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。

reinforced-thinking-mode 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
reinforced-thinking-mode

强化思维模式 · 本页

20,1361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
reinforced-thinking-mode
description
Multi-round independent deep thinking. Each round produces complete, final-quality solutions. Non-iterative, no TODOs, no angle constraints—pure divergent thinking.

Reinforced Thinking Mode

When to Use

Activate when user needs deep, multi-angle analysis:

  • Keywords: "deep thinking", "multi-angle", "comprehensive evaluation", "design solution", "architecture planning"
  • Intent: Complex system design, strategic decisions, innovation, risk assessment

Complexity → Rounds:

  • Simple (factual, clear): 2-3 rounds
  • Medium (feature design, trade-offs): 4-5 rounds
  • Complex (architecture, strategy): 5-7 rounds
  • Wicked (undefined, conflicting): 7-10 rounds

Core Principle

N independent, complete thinking sessions—not iterative refinement.

Each round must be: *"If this were the last round, I am completely satisfied."*

Mental Model

✅ Think: "This is my only chance—give it everything"

❌ Never think: "I'll improve this next round"


Hard Constraints

File Access

  • Each round reads ONLY: problem.md + round_{i-1}.md (Round 1: only problem.md)
  • Never read other rounds' details

Forbidden Words

Never use in solution files: TODO, to be improved, next round, later, refine further

Information Gaps

  • Uncertain facts → Search immediately
  • Uncertain requirements → Ask user immediately
  • Never assume and continue

Execution Flow

Phase 1: Initialize

  1. Assess complexity → Determine rounds (simple 2-3, medium 4-5, complex 5-7, wicked 7-10)
  2. Create directory reinforced-thinking/
  3. Write problem definition problem.md: background, current state, core problem, constraints, success criteria

Phase 2: Iterate (Each Round)

For round X:

  1. Read files: problem.md + round_{X-1}.md (Round 1: only problem.md)
  2. Reset mindset: Think from a fresh angle, don't copy previous approach
  3. Choose angle freely: Overturn previous round if necessary
  4. Write solution round_X.md, including:

- Independence declaration - Core insight - Solution design - Expected results - Risks and mitigations - Why solution is complete

  1. Self-review: Check for forbidden words, completeness, executability
  2. **If failed → Redo step 4
  3. Early termination check (round 2+):

- Compare core approach and solution with previous round - If similarity > 70%, lack of innovation → Recommend early termination - Write termination recommendation in current round for user decision


Phase 3: Synthesize

  1. Read all rounds + problem.md
  2. Analyze unique value, conflicts, complements of each solution
  3. Red team review: Critical examination of each solution

- Assumption flaws: What assumptions does the solution rely on? What if they fail? - Vulnerability risks: Potential loopholes or bypasses? - Failure modes: In what scenarios will it fail? - Adversarial testing: If someone deliberately sabotages, where is the weakest point?

  1. Generate final report final_report.md (including red team review conclusions)

Phase 4: Cleanup

Automatically delete intermediate files (problem.md, round_*.md), only keep final_report.md.

If retention needed, specify in), only keep final prompt.


Quality Assurance

Mandatory Redo Rules

If ANY of these conditions trigger, MUST redo current round:

  1. Contains forbidden words (TODO, to be improved, next round, later, refine further)
  2. Not final quality, needs "future supplements"
  3. Read files other than problem.md and round_{X-1}.md
  4. Solution incomplete

Checklist (Each Round)

  • [ ] Chose different angle from previous round
  • [ ] Did not copy previous solution
  • [ ] No forbidden words
  • [ ] If last round, I would be satisfied
  • [ ] All details included, can implement directly
  • [ ] Only read problem.md and previous round

Common Errors and Fixes

ErrorExampleFix
Carry context"Based on R1's UX and R2's tech..."Only write "Based on problem.md and R3's approach..."
Leave TODOs"Details next round"Give core design details now
Assume facts"Users probably want X"Search to confirm or ask user
Preset direction"Next round: security angle"Let each round choose freely
Iterative thinking"Improve on R1"Each round is independent, think from scratch
No details"See related docs"Write complete details directly in file

Best Practices

  • Divergent thinking: No angle matrix—choose any perspective freely
  • True independence: Only read problem.md + previous round, not all history
  • All-out each round: Don't hold back for "next iteration"
  • Transparency: Show chosen angle and reasoning in each round
  • Early termination: If 2 consecutive rounds lack innovation or similarity > 70% with previous round, recommend early termination

平台分布

OpenClaw

95.17%
按下载量换算6,388

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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