Review code for bugs, security, architecture, smells, patterns, performance, tests, and refactor plans
2 installs
Security
Code Inspector
Try itScan AI-generated code for bugs before deploying — 8 static analysis checks from critical (hardcoded secrets, unsafe eval) to low (unused imports). Productio...
What it does
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.
The skill document
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
⭐ Star this repo if AI code has ever broken your production: github.com/minirr890112-byte/code-inspector
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