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编程规范指南

作者 hu tian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install clean-code-styleguide
功能描述
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes...
使用说明 (SKILL.md)

Karpathy Guidelines

Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls.

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it - don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make it pass"
  • "Refactor X" → "Ensure tests pass before and after"

For multi-step tasks, state a brief plan:

1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]

Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.

安全使用建议
This skill is a benign, instruction-only style guide — safe from a credential or install perspective. Before installing, consider whether the specific recommendations match your team's coding standards (it biases toward minimalism and surgical edits) and whether you want an agent to adopt these constraints (they may reduce creativity or propensity to refactor). Because it’s instruction-only, there’s no code to audit; you can try it on a small task to confirm behavior. If you need different conventions, maintain your own variant of the guidelines or adjust prompts accordingly.
功能分析
Type: OpenClaw Skill Name: clean-code-styleguide Version: 1.0.0 The skill bundle contains purely instructional guidelines for an AI agent to improve coding quality and reduce mistakes. The instructions in SKILL.md promote best practices such as surgical code changes, simplicity, and explicit goal verification, with no executable code, network activity, or malicious prompt injection identified.
能力评估
Purpose & Capability
The name, description, and SKILL.md all describe behavioral guidelines for writing/reviewing/refactoring code. There are no unrelated env vars, binaries, or install steps requested.
Instruction Scope
SKILL.md contains only high-level procedural guidelines (assumptions, simplicity, surgical edits, verifiable goals). It does not instruct the agent to read arbitrary files, call external endpoints, access credentials, or run shell commands. The guidance is broad by design but stays within the stated purpose.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths requested; the requested privileges are minimal and proportional to a style guide.
Persistence & Privilege
Skill is not always-on, is user-invocable, and allows model invocation (the platform default). It does not request persistent presence or modify other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install clean-code-styleguide
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /clean-code-styleguide 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of "karpathy-guidelines" skill. - Introduces a set of concise behavioral guidelines to reduce common coding mistakes in LLM-driven code tasks. - Emphasizes clarity of assumptions, simplicity in implementation, and making only targeted (surgical) code changes. - Promotes explicit definition of success criteria and iterative goal-driven development. - Based on publicly shared principles by Andrej Karpathy, adapted to guide coding, reviewing, or refactoring practices.
元数据
Slug clean-code-styleguide
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

编程规范指南 是什么?

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。

如何安装 编程规范指南?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install clean-code-styleguide」即可一键安装,无需额外配置。

编程规范指南 是免费的吗?

是的,编程规范指南 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

编程规范指南 支持哪些平台?

编程规范指南 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 编程规范指南?

由 hu tian(@hu-xiao-tian)开发并维护,当前版本 v1.0.0。

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