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Code Readability Checker

code-analysis

Check if code is readable by non-developers - clear names, plain English comments, no jargon

SKILL.md

Full skill instructions

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 lenient to reduce noise