According to AlphaMoat, as of 2026-09, andrej-karpathy-skills has 6,267 downloads and 30 stars — ranked #2,139 of 193,229 AI skills overall, and #309 of 22,759 in AI Agent.
参考github上的andrej-karpathy-skills修改为openclaw的可用版本 同时支持Qclaw安装使用 "模型会替你做出错误的假设，然后盲目地跟着执行，而不进行检查。它们不管理自己的困惑，不寻求澄清，不暴露不一致性，不提出权衡，在应该反对的时候也不反对。" "它们真的喜欢过度复杂化代码和 API，膨胀抽象，不清除死代码……用超过 1000 行的臃肿结构，而 100 行就足够了。" "它们有时仍然会改变/删除它们不完全理解的注释和代码，作为副作用，即使这与任务无关。" 四条核心原则解决AI幻觉问题 Think Before Coding — 别默认假设，先澄清再动手 Simplicity First — 最少代码解决问题，不搞过度抽象 Surgical Changes — 只改该改的，顺手重构是大忌 Goal-Driven Execution — 定义可验证的成功标准，循环直到达标
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-09 | 6.3K | — | 30 | 376 |
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude rea
场景驱动+关键词双模式技能发现工具。当用户用自然语言描述场景/需求（如"我想做一个海报""帮我分析股票"），或明确说"安装技能/find skills/找个skill"时，自动从官方内置、本地已安装、SkillHub、虾评、GitHub、ClawHub 六层联合搜索并推荐最合适的技能，支持一键安装。已完全替代官方...
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Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
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Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
无头浏览器自动化CLI,为AI Agent优化,支持无障碍树快照与引用提取,精准网页操作
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.