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QS

HughYau/qiushi-skill

AI Agent

求是Skill——从经典唯物辩证法与实践哲学中提炼出一条总原则和九大方法论工具武装AI大脑。Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.

3.6k Stars276 Forks20 Open Issues3.6k WatchersJavaScriptMIT
AI AgentDeveloper ToolAutomationUI Framework
Review Readiness

This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.

100

review score

Indexable review
Decision Snapshot

Problem solved

当前AI Agent面对复杂问题时往往胡子眉毛一把抓、没有调查就急于给出答案、方案做完不自查、遇到困难轻易放弃。求是Skill通过结构化的方法论（矛盾分析、实践认识论、调查研究等）让AI学会'怎么想问题、怎么做事情'，从根本上提升问题分析与解决能力。

Deployment reality

The available setup signal starts with: npx qiushi-skill. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

开发者可以构建具备深度分析能力的AI Agent，例如：自动抓取复杂问题的核心矛盾并制定针对性方案；在决策前自动进行信息收集与验证；在长期任务中保持战略定力并持续迭代；从零开始逐步积累发展。实际案例包括分析职场现象、组织AI入门知识、构建可靠的长线Agent交付循环等。

Source and compliance noteLast synced: Jul 29, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

HughYau/qiushi-skill is tracked as a JavaScript project in the AI Agent, Developer Tool, Automation, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 3.6k total stars, with +0 today, +67 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Moderate; the latest push was 34 days ago, and the open issue queue is 20, about 0.55% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 276 forks and 3.6k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need JavaScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 67. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

MIT is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • JavaScript teams evaluating ecosystem-native tooling
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

3.6k Stars

Reuse

276 Forks

Attention

3.6k Watchers

Maintenance

moderate

License

MIT

Open issues

20

Overview

求是 Skill 是一个 AI Agent Skills 合集，从经典唯物辩证法与实践哲学中提炼出实事求是总原则和九大方法论工具，系统性地武装 AI 的大脑，使其能够先看事实、再下判断。

Key Features

- 提炼九大思想武器：矛盾分析法、实践认识论、调查研究、群众路线、批评与自我批评、持久战略、集中兵力、星火燎原、统筹兼顾 - 提供 CLI 一键安装，支持 Claude Code、Cursor、Codex 等多种 AI Agent 平台 - 每条方法有据可依，直接引用经典著作原文

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Developer Tool

Tools that improve coding, testing, build, and local workflow

Automation

Workflow automation, integration glue, and orchestration

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
npx qiushi-skill
View on GitHub Project Homepage
Project Activity

63

Health Score

Moderate

Commit Activity

Mar 25, 2026

Created

Jul 20, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 29, 2026Jul 29, 2026
Community Health
276

Forks

20

Open

3.6k

Watchers

Owner
QS

HughYau

GitHub profile
Topics & Language
JavaScriptai-agentsmethodologyskillsworkflow
Ecosystem & Usage
GitHub Repository Project Website Search on npm
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License
MIT
CreatedMar 25, 2026
Last pushJul 20, 2026
Last syncedJul 29, 2026
Repository Standards

✓

License

✓

Forked

~ Moderate

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

当前AI Agent面对复杂问题时往往胡子眉毛一把抓、没有调查就急于给出答案、方案做完不自查、遇到困难轻易放弃。求是Skill通过结构化的方法论（矛盾分析、实践认识论、调查研究等）让AI学会'怎么想问题、怎么做事情'，从根本上提升问题分析与解决能力。

Capabilities

开发者可以构建具备深度分析能力的AI Agent，例如：自动抓取复杂问题的核心矛盾并制定针对性方案；在决策前自动进行信息收集与验证；在长期任务中保持战略定力并持续迭代；从零开始逐步积累发展。实际案例包括分析职场现象、组织AI入门知识、构建可靠的长线Agent交付循环等。

Bottom Line

适合希望构建更智能、更可靠AI Agent的开发者，尤其是处理复杂、长期任务时。不适合追求纯粹技术路线或对相关哲学背景敏感的用户。核心权衡在于：结构化方法论带来深度分析能力，但可能增加系统复杂性和潜在争议。

Full AI Analysis