multiAI Summary Pending

code-analysis

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

231 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/code-analysis/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/abejitsu/code-analysis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/code-analysis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How code-analysis Compares

Feature / Agentcode-analysisStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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