explain-code
用可视化图表和类比解释代码。在解释代码如何工作、教授代码库或用户询问如何工作时使用
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 3 · 2.7k · 38 current installs · 38 all-time installs
byChongshiWang@EdwinInAu
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the actual content: the skill's runtime instructions focus on explaining code with analogies, ASCII art, step-by-step traversal, and common pitfalls. It requests no unrelated binaries, credentials, or paths.
Instruction Scope
SKILL.md only prescribes explanation behavior (use analogies, draw ASCII diagrams, traverse code, highlight issues). It does not instruct the agent to read system files, access external services, or exfiltrate data. Note: 'traverse code' implies examining code the user provides or that the agent already has access to — expected for this skill.
Install Mechanism
No install spec and no code files — instruction-only, so nothing is downloaded or written to disk.
Credentials
The skill declares no environment variables, credentials, or config paths; nothing disproportionate is requested for the stated purpose.
Persistence & Privilege
always is false and there are no install actions that persist or modify system/agent configuration. The skill does not request elevated or persistent privileges.
Assessment
This skill is instruction-only and appears safe: it will explain code you present using analogies and ASCII diagrams. Before using it, avoid pasting secrets or sensitive code (API keys, passwords, private data) into prompts, and review any output before sharing it elsewhere. Because it's an autonomous-capable skill by default, be mindful what code or repository access you grant the agent when invoking it.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
在解释代码时,总是包含:
- 先打比方做类比: 将代码与日常生活中的事物进行比较
- 画图表: 使用ASCII art来展示流程、结构或关系
- 遍历代码: 一步一步地解释发生了什么
- Highlight突出问题: 常见的错误或误解是什么?
保持解释自然。对于复杂的概念,可以用多个类比。
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