Karpathy 的 CLAUDE.md 登上 GitHub Trending 第一了

22万星标，但我敢打赌你没读过。

就65行。把 AI 写代码的准确率从65%拉到94%。

你知道大多数人在干嘛吗？在那儿堆提示词、买课、研究什么“最强 prompt 技巧“——结果人家一个65行的文件直接碾压全场。

里面就4条规则，我给你拆开说：

先想清楚再动手 不确定就问，绝对不要猜。猜出来的代码，debug 的时候你会哭的。

能简单就别复杂 只写刚好够用的代码。没人让你做的抽象，你做了也是负债，不是资产。

外科手术式改动 需求没提到的地方，一行都别碰。每一处修改都得能说清楚为什么改。

先定义“成功长什么样“ 在写任何代码之前，先把模糊的需求翻译成可以验证的标准。不然你怎么知道自己写完了？

就这些。没有废话，没有玄学。

65行，4条规则，准确率直接干到94%。

现在大多数人还没注意到这个文件。你现在看到了，就是信息差。

https://github.com/entropyvortex/meta-llm-charter…

entropyvortex/meta-llm-charter

Source: https://github.com/entropyvortex/meta-llm-charter

META v2.0 — LLM Agent Engineering Charter

(with Zero-Pause Native Execution Layer)

One file. Eleven rules + continuous-execution layer. One meta-rule. One bias.

A compact, operational constitution that turns frontier coding agents (Claude Code, Cursor, etc.) from eager-junior behavior into disciplined principal-engineer execution with unbroken velocity.

Quickstart

# Drop the charter into your project root
curl -O https://raw.githubusercontent.com/entropyvortex/meta-llm-charter/main/CLAUDE.md

• Claude Code: Reads CLAUDE.md automatically.
• Cursor: Paste contents into Cursor Rules (or .cursor/rules).
• Other agents: Use as high-priority system prompt.

View raw CLAUDE.md

What’s new in v2.0

Zero-Pause Native Execution Layer is now baked directly into CLAUDE.md.
Any task that mentions “Zero-Pause”, “zero pause”, “ZP-”, or the activation phrase instantly enables:

• Continuous forward momentum (no artificial phases, no mid-task questions)
• humanpending.md protocol for true human-gated items
• Parallel ASI orchestration (minimum 7 specialized threads)
• Zero session-size anxiety

The original META v1.3 rules (R1–R11) remain untouched and in force at all times.

Use as Grok Skill on grok.x.ai (web / mobile)

Grok now supports Custom Instructions and named Skills.

→ See GROK-META.md for the one-click setup (Custom Instructions recommended — works instantly on every chat).

Why this exists

LLM coding agents are incredibly capable but consistently fail in the same senior-level ways. META closes those gaps; Zero-Pause closes the velocity gaps.

Core Philosophy

Bias — Earned Conservatism
Default to first-principles rigor. Quality dominates token count. Move boldly on local, reversible, test-covered work. Apply explicit, named caution only on high blast-radius or low-reversibility moves.

META-0 — Situated Judgment Overrides Rules
These rules are scaffolding. When first-principles analysis of the actual situation conflicts with a rule, follow the analysis. Name the override, justify it, and be evaluated on judgment quality + ground-truth outcomes — not rule compliance.

The eleven rules (R1–R11) + Zero-Pause layer (ZPR1–ZPR4) operationalize decomposition, decisiveness, verification, scope control, epistemic tagging, pushback, reversibility, and relentless continuous execution. Full charter is in CLAUDE.md.

What the charter actually changes

• R5 + R8: Forces reproduction before repair and tags every claim (executed / inspected / assumed).
• R9: One clear, evidence-based pushback on bad premises — then defer and document dissent.
• R4 + R10: Bounded refactoring and reversibility-weighted boldness.
• Zero-Pause layer: Unbroken execution, pre-work questions only, parallel orchestration, and humanpending.md handling.

Evaluation

The repo includes a reproducible TypeScript + Docker A/B test harness in evals/. It runs agents against five synthetic fixtures engineered to trigger classic agent failure modes.

Latest smoke-test results (May 12, 2026):
Charter variant won outright on 3/5 tasks and tied on 2/5 against a generic “principal engineer” baseline. Full details, raw CSVs, and judge transcripts are in the evals directory.

(The harness is public and cheap to run: cd evals && npm run smoke.)

Known limitations

• Still early (v2.0, single-author origin).
• Performance varies by base model — strongest with frontier Claude/Sonnet-class models.
• Can produce over-caution on fuzzy/creative/exploratory work (Zero-Pause helps here).
• Not magic: extremely ambiguous requirements can still overwhelm any system prompt.

When to use META

Best for
Serious software engineering where correctness, maintainability, long-term system health, and velocity matter.

Less ideal for
Pure exploration, rapid UI prototyping, research spikes, or contexts where you explicitly want maximum speed over discipline (though Zero-Pause narrows this gap significantly).

Contributing

Most valuable contributions right now:

1. Running the eval harness on new models
2. High-quality held-out fixtures (especially adversarial Zero-Pause cases)
3. Sanitized real-world case studies

See CONTRIBUTING.md for details.

Lineage

Built on the foundational minimal principles from
forrestchang/andrej-karpathy-skills.

License

MIT

By entropyvortex.

Feedback, evals, and war stories welcome.

鸟哥 | 蓝鸟会🕊️ (@NFTCPS): 我是好起来了，今天参加@okx XClub活动，排了一个小时的队，终于跟我的偶像@Wangduanniao 短鸟哥合上影了!

辛苦Uni哥 @UnicornBitcoin 操办这场活动！

感谢：@Cayne_okx @OKX_Yuki