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xwtro0tk1t-cloud/harness

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本页由 AI 翻译,技术细节请以原文为准。 查看原文

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xwtro0tk1t-cloud/harness 是从 https://github.com/xwtro0tk1t-cloud/harness. 导入的一个代理技能候选

概览

xwtro0tk1t-cloud/harness 是从 https://github.com/xwtro0tk1t-cloud/harness. 导入的一个代理技能候选

概述(AI 翻译)

Harness 是一个 AI 代理开发支架 Meta-Skill,在一个命令中为任何项目建立了四层增强:知识管理、架构约束、反馈循环和熵管理。

针对Claude Code优化:Harness利用Claude Code独特的Hook系统(SessionStart / PreToolUse / PostToolUse / Stop)进行系统级行为增强。结合实验性的代理团队功能,你可以在一个提示中启动多角色协作(架构师/工程师/测试员)。双层增强功能(Hook系统级+指令文件规则级)+技能自动匹配在Claude Code上完全激活,带来最完整的增强体验。

兼容9个AI编码工具:Cursor、Windsurf、Cline、GitHub Copilot、Aider、Continue、Devin,以及任何支持项目级指令文件的工具(通过AGENT.md作为通用备援)。指令文件规则和文档在所有工具中通用,确保核心增强无论你的IDE如何都能有效。


你为什么需要安全带?

AI代理写代码很快,但“快”带来了四个核心问题:

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

Harness — AI Agent Development Scaffold & Security Enhancement

Harness is an AI Agent development scaffold Meta-Skill that establishes four layers of enhancement for any project in one command: knowledge management, architecture constraints, feedback loops, and entropy management.

Optimized for Claude Code: Harness leverages Claude Code’s unique Hook system (SessionStart / PreToolUse / PostToolUse / Stop) for system-level behavior enhancement. Combined with the experimental Agent Teams feature, you can spin up multi-role collaboration (Architect / Engineer / Tester) in one prompt. Dual-layer enhancement (Hook system-level + instruction file rule-level) + Skill auto-matching are fully active on Claude Code, delivering the most complete enhancement experience.

Compatible with 9 AI coding tools: Cursor, Windsurf, Cline, GitHub Copilot, Aider, Continue, Devin, and any tool supporting project-level instruction files (via AGENT.md as generic fallback). Instruction file rules and docs/ documentation work universally across all tools, ensuring core enhancements remain effective regardless of your IDE.


Why Do You Need Harness?

AI Agents write code fast, but “fast” brings four core problems:

Problem Symptom Consequence
Knowledge gaps Every new session starts from scratch with no project context Repeated mistakes, violated conventions
No constraints Bad code exists in the codebase, AI copies and produces more bad code Security vulnerabilities, architecture decay
No feedback “Confidently declares mission accomplished” when it’s actually a mess Production incidents, rework
Entropy increase Writing fast = garbage piles up fast Technical debt explosion, outdated documentation

Harness’s solution: Establish four layers of enhancement with a single command at project initialization, automatically effective in every subsequent development session.

But it’s not just these 4 — we’ve identified 24 pain points across 7 categories. Here’s how Harness addresses each one ↓


Roadmap: AI Development Pain Points & Harness Solutions

24 common pain points in AI-assisted development, organized by category. Each lists Harness’s current solution, strength rating, and planned future enhancements. Detailed version with full problem descriptions and solution architecture →

Thinking & Planning

# Pain Point Current Solution Strength Future Enhancement
1 AI codes before thinking — jumps to implementation without understanding requirements superpowers brainstorming HARD-GATE: no code until design approved ★★★★★ —
在 GitHub 查看完整 README

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