code-analysis
Check if code is readable by non-developers - clear names, plain English comments, no jargon
npx skills add majiayu000/claude-skill-registry --skill code-analysis-aiskillstore-marketplace --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ```bash python3 analyze.py --path your-file.py --strictness lenient ``` ## Example **Bad Code** (score: 71/100): ```python def proc(usr, tkn): tmp = usr + tkn return tmp * 2 ``` Issues: Cryptic names, no comments, unclear purpose. **Good Code** (score: 95/100): ```python 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 It Checks
- Usage
- Example
- Known Issues
python3 analyze.py --path your-file.py --strictness lenient
What does the code-analysis skill do?
Check if code is readable by non-developers - clear names, plain English comments, no jargon
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill code-analysis-aiskillstore-marketplace --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.