Code analysis

Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/abejitsu/code-analysis

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Install

npx -y skills add ComeOnOliver/skillshub --skill code-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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 lenient to reduce noise

What ships with it

39.4 KB alongside SKILL.md, 1 of them executable

GitHub clipped this repository’s file list, so this is at least 2 files and may be more.

analyze.pyruns31.2 KB
skill-report.json8.2 KB