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Agent Skill · 研究检索

thinking-tools(思维工具)

thinking-tools 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-tools 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 34,485。

总安装 2,221周安装 89GitHub Stars 25下载 719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-tools(思维工具)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/thinking-tools
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill thinking-tools
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/oimiragieo/agent-studio --skill thinking-tools

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。

思维工具用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor 等宿主中根据关键词快速定位结果。通过 npx 安装并指定技能名称,建议结合原始 README 验证用法。安装前应检查权限、维护状态及是否会触发联网或文件读写。

thinking-tools 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/thinking-tools

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/oimiragieo/agent-studio --skill thinking-tools;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-tools 怎么安装?

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

thinking-tools 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-tools 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-tools 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-tools 用的人多吗?

公开数据是累计安装 2,221 次,近一周安装 89 次,下载 719 次,GitHub 25 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-tools 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-tools

思维工具 · 本页

2,22125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

Overview

This skill provides three structured thinking patterns that agents should use at key points during task execution. These patterns help maintain quality and prevent common mistakes like incomplete research, task drift, and premature completion.

Thinking Pattern 1: Think About Collected Information

When to Use: After completing a non-trivial sequence of searching steps like:

  • Reading multiple files
  • Searching for symbols or patterns
  • Exploring directory structures
  • Gathering requirements

Self-Assessment Questions:

## Information Completeness Check

1. **Sufficiency**: Do I have enough information to proceed?
   - [ ] I understand the relevant code structure
   - [ ] I know the dependencies and relationships
   - [ ] I have identified all affected components

2. **Relevance**: Is all collected information relevant?
   - [ ] Information directly relates to the task
   - [ ] No tangential exploration
   - [ ] Focused on actionable insights

3. **Gaps**: What am I missing?
   - [ ] Are there files I should read but haven't?
   - [ ] Are there patterns I should search for?
   - [ ] Do I need to understand related systems?

4. **Confidence**: How confident am I in my understanding?
   - [ ] High: Ready to proceed
   - [ ] Medium: Minor clarification needed
   - [ ] Low: More research required

**Decision**: [Proceed / Gather More Information / Ask User]

Example Reflection:

I've read the authentication module (auth.ts) and the user model (user.ts).
I understand how login works but I haven't checked:
- How session tokens are managed
- Where logout is implemented
- What the error handling pattern is

Decision: Read session.ts and error-handler.ts before proceeding.

Thinking Pattern 2: Think About Task Adherence

When to Use: BEFORE making any code changes (insert, replace, delete). This is critical to ensure you're still solving the original problem.

Self-Assessment Questions:

## Task Adherence Check

1. **Original Task**: What was I asked to do?
   - Restate the original request clearly
   - Identify the core goal

2. **Current Action**: What am I about to do?
   - Describe the planned change
   - Explain how it relates to the goal

3. **Alignment Check**:
   - [ ] This action directly addresses the original task
   - [ ] I am not adding unrequested features
   - [ ] I am not "improving" code that wasn't asked about
   - [ ] The scope is appropriate for the request

4. **Scope Creep Warning Signs**:
   - Am I refactoring code that works?
   - Am I adding "nice to have" features?
   - Am I fixing unrelated issues I noticed?
   - Have I drifted from the original ask?

**Decision**: [Proceed / Refocus / Ask User for Clarification]

Example Reflection:

Original Task: "Fix the login timeout error"

I'm about to:
1. Fix the timeout by increasing the limit (directly addresses task)
2. Also refactor the error messages (NOT requested)
3. Also add retry logic (NOT requested)

Decision: Only implement #1. The other changes are scope creep.
If user wants those improvements, they can request them separately.

Thinking Pattern 3: Think About Whether You Are Done

When to Use: When you believe you have completed the task. This prevents premature completion and ensures quality.

Self-Assessment Questions:

## Completion Validation Check

1. **Requirements Met**:
   - [ ] All explicit requirements addressed
   - [ ] All implicit requirements considered
   - [ ] Edge cases handled

2. **Quality Checks**:
   - [ ] Code compiles/runs without errors
   - [ ] Tests pass (or new tests written)
   - [ ] No regressions introduced
   - [ ] Follows project conventions

3. **Documentation**:
   - [ ] Code is self-documenting or commented where needed
   - [ ] README updated if needed
   - [ ] Breaking changes documented

4. **Verification Steps Taken**:
   - [ ] Ran relevant tests
   - [ ] Tested manually if applicable
   - [ ] Checked for lint/type errors

5. **Loose Ends**:
   - Any open tasks introduced?
   - Any known limitations?
   - Any follow-up work needed?

**Decision**: [Complete / Additional Work Needed / Partial Completion]

Example Reflection:

Task: "Add user email validation"

Requirements Check:
- [x] Email format validation added
- [x] Error message shows for invalid email
- [ ] Did NOT check: what about empty email?

Quality Check:
- [x] TypeScript compiles
- [ ] Tests: No tests written yet!

Decision: NOT complete. Need to:
1. Handle empty email case
2. Write unit tests for validation

Integration Guidelines

Workflow Integration

[Research Phase]
    |
    v
Think About Collected Information
    |
    v
[Planning Phase]
    |
    v
Think About Task Adherence (before each change)
    |
    v
[Implementation Phase]
    |
    v
Think About Whether You Are Done
    |
    v
[Completion or Iterate]

When NOT to Use

  • Simple, trivial tasks (fix typo, rename variable)
  • When user explicitly asks to skip validation
  • Quick answers that don't involve code changes

Logging Reflections

For important tasks, log reflections to memory:

## Task: [description]

## Reflection Log

### Information Gathering

- Files read: [list]
- Gaps identified: [list]
- Decision: [proceed/gather more]

### Task Adherence Check

- Original task: [description]
- Planned changes: [list]
- Scope assessment: [in-scope/adjusted]

### Completion Check

- Requirements: [met/partial/not met]
- Tests: [passed/failed/not run]
- Final status: [complete/needs work]

Phase 1 - After Research:

Think About Collected Information:
- Read search.ts, index.ts, searchUtils.ts
- Found the bug: incorrect regex pattern
- Checked: test file exists (search.test.ts)
- Gap: Haven't checked if there are related search files
Decision: Quick grep for "search" to ensure completeness...
Found search-config.ts which is relevant. Reading now.

Phase 2 - Before Coding:

Think About Task Adherence:
- Original: "fix the broken search feature"
- Planned: Fix regex pattern in searchUtils.ts line 45
- Scope check: This directly fixes the bug. NOT adding new search features.
Decision: Proceed with targeted fix.

Phase 3 - After Implementation:

Think About Whether You Are Done:
- [x] Bug fixed (regex corrected)
- [x] Existing tests still pass
- [ ] No new test for this specific case
Decision: Add regression test, then complete.

</usage_example>

Iron Laws

  1. ALWAYS run think-about-collected-information after any research or exploration phase before proceeding to implementation
  2. NEVER skip checkpoints when "almost done" — apply them most rigorously near completion
  3. ALWAYS answer checkpoint questions honestly; rationalization defeats the purpose of self-reflection
  4. NEVER use checkpoints as ceremony — if a checkpoint reveals a gap, stop and resolve it before continuing
  5. ALWAYS document checkpoint failures and resolutions in task metadata for traceability

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Skipping checkpoints when nearly doneMost errors surface late; skipping hides themApply all three checkpoints regardless of progress
Rushing through checkpoint questionsSuperficial answers produce false confidenceTake 30 seconds per checkpoint, answer honestly
Rationalizing away red flagsExcuses mask genuine problemsStop and fix any issue the checkpoint reveals
Using checkpoints as ceremonyCheckbox ticking without reflection adds no valueGenuinely assess each question and act on findings
Running only a final checkpointEarlier checkpoints prevent expensive reworkUse all three at their designated trigger points

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern discovered -> .claude/context/memory/learnings.md
  • Issue encountered -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

39.91%
按下载量换算287

Claude

28.76%
按下载量换算207

Cursor

18.54%
按下载量换算133

Gemini CLI

9.94%
按下载量换算71

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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