Analyzing Code

Code Analysis

Static code analysis with AST parsing, complexity metrics, dependency graphs, and quality scoring

Performs static analysis using AST parsing, computes complexity metrics (cyclomatic, maintainability), maps dependencies, and produces quality scores.

Process

1. AST Parsing – Parse source into AST and extract structure.
2. Complexity Calculation – Compute cyclomatic complexity and maintainability index with radon.
3. Dependency Mapping – Extract import statements from AST.
4. Quality Scoring – Compute normalized quality score 0.0–1.0.
5. Report Generation – Generate full analysis report.

CLI: Run python scripts/analyze.py --path <file|dir> for formatted report or python scripts/report.py --path <dir> --output report.json for JSON output.

Best Practices

• Run analysis in CI with thresholds
• Focus on functions with CC > 10
• Track maintainability index over time
• Use dependency maps for impact analysis

References

• Radon Documentation
• Pylint
• Python AST

Bundled Resources

• scripts/analyze.py – Analyze single file or directory, print formatted report (--path)
• scripts/report.py – Generate JSON report (--path, --output)

When to Use

This skill should be used when strict adherence to the defined process is required.

Prerequisites

• Basic understanding of the agent factory context.
• Access to the necessary tools and resources.