Code analysis
Skill aiskillstore/marketplace/skills/abejitsu/code-analysis
Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
npx -y skills add aiskillstore/marketplace --skill code-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
What its author says it does
Copied from the file, not written here
Check if code is readable by non-developers - clear names, plain English comments, no jargon
SKILL.md
1.3 KB, 261 tokens by cl100k_base, as published. Nobody here has run it
Code Readability Checker
Analyzes code to ensure non-developers (managers, stakeholders, new team members) can understand it.
What It Checks
- Clear naming: No cryptic abbreviations (usr_tkn → userToken)
- Plain comments: Everyday language, not technical jargon
- Documentation: What/Why/How for major sections
- Comment ratio: At least 20% of lines should be comments
Usage
python3 analyze.py --path your-file.py --strictness lenient
Example
Bad Code (score: 71/100):
def proc(usr, tkn):
tmp = usr + tkn
return tmp * 2
Issues: Cryptic names, no comments, unclear purpose.
Good Code (score: 95/100):
def process_user_authentication(username, auth_token):
"""Validate user credentials and return auth score"""
combined_credential = username + auth_token
return combined_credential * 2
Known Issues
- May flag false positives in documentation files
- Works best on actual production code
- Use
--strictness lenientto reduce noise