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Agent Skill · 研究检索

thinking-debiasing(思维去偏见)

thinking-debiasing 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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-debiasing 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,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 52,216。

总安装 563周安装 23GitHub Stars 46下载 182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
unknown

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-debiasing(思维去偏见)
来源仓库:https://github.com/tjboudreaux/cc-thinking-skills
仓库路径:skills/thinking-debiasing
安装命令:
npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-debiasing
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-debiasing

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。

思维去偏见用于查找、检索和筛选相关信息,聚焦于减少认知偏差的影响。适用于决策支持、风险评估和方案评估等需要客观判断的场景。通过系统化提问引导用户识别潜在偏见,并提供替代视角。

安装命令:npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-debiasing 注意其可能调用外部知识库,需确认网络访问权限及数据隐私合规性。

来源仓库内路径:skills/thinking-debiasing

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinkin…;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-debiasing 怎么安装?

在终端执行 npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-debiasin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

thinking-debiasing 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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-debiasing 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-debiasing 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

thinking-debiasing 用的人多吗?

公开数据是累计安装 563 次,近一周安装 23 次,下载 182 次,GitHub 46 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。

thinking-debiasing 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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-debiasing

思维去偏见 · 本页

56346只读未明确通过

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

Cognitive Debiasing

Overview

Based on Daniel Kahneman, Dan Lovallo, and Olivier Sibony's research, this skill provides a systematic checklist to identify cognitive biases that distort decisions. Awareness of biases alone doesn't prevent them—structured checklists and processes do.

Core Principle: Your brain is systematically wrong in predictable ways. Use checklists to catch errors your intuition will miss.

When to Use

  • Before making or approving major decisions
  • Evaluating recommendations from others
  • When stakes are high and errors costly
  • When you feel very confident (overconfidence is a bias)
  • During investment, hiring, or strategic decisions
  • When a decision "feels right" but you can't articulate why

System 1 vs System 2

System 1 (Fast)System 2 (Slow)
Automatic, effortlessDeliberate, effortful
Emotional, intuitiveAnalytical, logical
Pattern-matchingRule-following
Prone to biasesCan catch biases
Default modeRequires activation

Goal: Activate System 2 for important decisions using structured processes.

The 12-Point Decision Quality Checklist

Before approving any significant recommendation, evaluate:

Self-Interest Biases

1. Is there self-interest at play?

  • Does the recommender benefit from this decision?
  • Would they recommend the same if incentives were different?
  • Are there conflicts of interest?

2. Is there emotional attachment (affect heuristic)?

  • Has the team fallen in love with the proposal?
  • Are they dismissing concerns too quickly?
  • Is criticism being taken personally?

Group Dynamics

3. Has dissenting opinion been suppressed (groupthink)?

  • Were alternative views genuinely explored?
  • Is there pressure to conform?
  • Has a devil's advocate been assigned?

4. Is there appropriate diversity of opinion?

  • Did independent thinkers contribute?
  • Were estimates made independently before discussion?
  • Has anyone with a different perspective reviewed this?

Pattern Recognition Errors

5. Are we over-relying on a single analogy (saliency bias)?

  • Is there one "this is just like X" dominating thinking?
  • Have we sought disconfirming analogies?
  • Are we cherry-picking the comparison?

6. Are we anchored on an initial number?

  • Where did the first estimate come from?
  • Would a different starting point change the conclusion?
  • Have we re-estimated from scratch?

Confirmation Bias

7. Were credible alternatives seriously considered?

  • Did we explore at least 2-3 real alternatives?
  • Were alternatives given fair evaluation?
  • Or were they strawmen to justify the preferred option?

8. Are we seeking confirming evidence only?

  • What evidence would disprove this thesis?
  • Have we actively looked for disconfirming data?
  • Are we explaining away contradictory evidence?

Planning Fallacies

9. Is the base case realistic?

  • Is this more optimistic than similar past projects?
  • What's the base rate of success for similar efforts?
  • Have we adjusted for "this time is different" thinking?

10. Is the worst case bad enough?

  • Does worst case assume only one thing goes wrong?
  • What if multiple risks materialize simultaneously?
  • Have we considered tail risks?

11. Are we discounting sunk costs appropriately?

  • Would we make this decision if starting fresh?
  • Are we continuing because we've "invested too much"?
  • What would an outsider with no history decide?

Halo Effects

12. Are we assuming success transfers?

  • Are we trusting this team/approach because of past wins?
  • Were past successes in similar contexts?
  • Are we attributing success to skill when luck played a role?

Quick Debiasing Techniques

For Anchoring

  • Generate estimate BEFORE seeing others' numbers
  • Ask: "What if the true number is 2x or 0.5x?"
  • Use multiple independent estimators

For Confirmation Bias

  • Assign someone to argue the opposite position
  • Ask: "What would make us wrong?"
  • Seek out critics, not supporters

For Overconfidence

  • Widen confidence intervals (usually too narrow)
  • Use reference class forecasting (base rates)
  • Ask: "How often have similar predictions been right?"

For Sunk Cost

  • Ask: "Would we start this project today knowing what we know?"
  • Ignore past investment when evaluating future returns
  • Consider opportunity cost of continuing

For Groupthink

  • Collect independent opinions before discussion
  • Assign devil's advocate role
  • Make it safe to dissent

Decision Quality Audit Template

# Decision Quality Audit: [Decision Name]

## Recommendation Summary
[Brief description]

## Bias Checklist

### Self-Interest & Emotion
- [ ] Self-interest checked: [Notes]
- [ ] Emotional attachment assessed: [Notes]

### Group Dynamics
- [ ] Dissent encouraged: [Notes]
- [ ] Independent input gathered: [Notes]

### Pattern Recognition
- [ ] Multiple analogies considered: [Notes]
- [ ] Anchoring effects checked: [Notes]

### Confirmation Bias
- [ ] Alternatives genuinely evaluated: [Notes]
- [ ] Disconfirming evidence sought: [Notes]

### Planning Realism
- [ ] Base case reality-checked: [Notes]
- [ ] Worst case severe enough: [Notes]
- [ ] Sunk costs ignored: [Notes]

### Halo Effects
- [ ] Success transfer questioned: [Notes]

## Red Flags Identified
[List any concerns from checklist]

## Mitigations
[How will identified biases be addressed?]

## Decision
- [ ] Proceed as recommended
- [ ] Proceed with modifications
- [ ] Requires more analysis
- [ ] Reject recommendation

Verification Checklist

  • Systematically evaluated all 12 bias categories
  • Identified at least 2 potential biases affecting this decision
  • Applied specific debiasing technique to each identified bias
  • Sought independent/outside perspective
  • Documented reasoning for future reference
  • Comfortable defending decision process (not just outcome)

Key Questions

  • "What would have to be true for this to be wrong?"
  • "How confident am I, and what's driving that confidence?"
  • "What would an outsider with fresh eyes conclude?"
  • "Am I reasoning toward a conclusion I already want?"
  • "What's the base rate of success for decisions like this?"
  • "If I'm wrong, how will I know, and when?"

Kahneman's Warning

"We can be blind to the obvious, and we are also blind to our blindness."

You cannot debias through willpower alone. Use checklists, processes, and outside perspectives to catch what your intuition misses.

平台分布

Codex

34.32%
按下载量换算62

Claude

31.94%
按下载量换算58

Cursor

21.05%
按下载量换算38

Gemini CLI

10.27%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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