Code Inspector

👤 minirr890112-byte 📦 v1.0.0 ⭐ 4.1 ⬇️ 319 下载
💻 开发编程 免费

📖 技能介绍


name: code-inspector description: Scan AI-generated code for bugs before deploying — 8 static analysis checks from critical (hardcoded secrets, unsafe eval) to low (unused imports). Production-readiness score 0-100. Because AI code looks fine until it isn't. version: 1.2.0 author: minirr890112-byte license: MIT metadata: hermes: tags: [Code-Review, Static-Analysis, Security, AI-Code, Quality, CLI, Python] homepage: https://github.com/minirr890112-byte/code-inspector


code-inspector

Problem → Solution

The problem: AI generates code that compiles and looks correct. But it silently drops edge case handling, hardcodes secrets, catches exceptions with bare except/pass, and uses mutable defaults. You deploy it. It breaks. Reddit is full of "I let Claude loose and it broke the entire site" stories.

The solution: One command scans any Python file for 8 categories of AI-code bugs. Critical → High → Medium → Low severity. Production-readiness score 0-100. Don't deploy AI code blind.

Quick Start

pip install git+https://github.com/minirr890112-byte/code-inspector.git

code-inspector app.py           # scan a file
cat app.py | code-inspector     # scan from pipe

What It Checks

Check Severity Example
Hardcoded secrets 🔴 critical api_key = "sk-abc123"
Unsafe eval/exec 🔴 critical eval(user_input)
Infinite loops 🔴 critical append-while-iterating
Mutable defaults 🟠 high def fn(items=[])
Shadowed builtins 🟠 high list = [1,2,3]
Bare except/pass 🔴 critical except: pass
Deep nesting 🟡 medium 5+ nested loops
Unused imports ⚪ low AST-based detection

Scoring

90-100: 🟢 PRODUCTION-READY
70-89:  🟡 NEEDS REVIEW
50-69:  🟠 HIGH RISK
0-49:   🔴 DO NOT DEPLOY

小葱技能7w4.net有完整的技能分类。


Star this repo if AI code has ever broken your production: github.com/minirr890112-byte/code-inspector

🤖 AI 评测

这个工具整体质量中等偏上,界面清晰、使用方便,检测结果展示直观。它能发现一些 AI 写代码时常犯的问题,比如密码写死、错误处理缺失等,对提升代码安全性有一定帮助。不过它的检测能力有限,对于更复杂的代码问题可能会漏掉或误报,而且有些文档里提到的功能实际上还没实现。总体来说可以当作辅助检查工具使用,但不要完全依赖它来保证代码质量。

📊 多维度评分

适应性4.2
规范性3.9
有效性4.2
可靠性3.8
可信度4.7

📁 包含文件 (9 个)

📄 README.md 3.3 KB
📄 README_EN.md 2.8 KB
📄 SKILL.md 2 KB
📄 _meta.json 133 B
📄 code_inspector/__init__.py 87 B
📄 code_inspector/cli.py 12 KB
📄 code_inspector/detectors.py 17.3 KB
📄 pyproject.toml 1.1 KB
📄 skill-card.md 2 KB