scan

Parse Python ASTs to build import graphs and symbol metadata.

24|3|Updated Feb 22, 2026

Search Tags:#python #code-analysis #scan #blast-radius #import-graph #symbol-metadata

Ready to run

npx skills add https://github.com/Borda/AI-Rig --skill scan-borda

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scan
Source: https://github.com/Borda/AI-Rig/tree/main/plugins/codemap/skills/scan
Command: npx skills add https://github.com/Borda/AI-Rig --skill scan-borda

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the discovery of module dependencies and symbol relationships in Python projects by building a structured JSON index from Python source files.

Core Features & Use Cases

AST-based import graph extraction across all .py files.
Symbol metadata collection (classes, functions, methods) with line ranges.
Blast-radius metrics and incremental re-scans using --incremental.

Quick Start

Run the scanner to index your project by executing the scan-index script in the CLAUDE_PLUGIN_ROOT directory.

Frequently Asked Questions about scan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate a Python import graph for a large codebase?▼

This Skill indexes Python codebases by parsing the AST to build an import graph, symbol metadata, and blast-radius metrics. It targets medium to large Python projects where reproducible module dependency views and symbol-level references support safe refactors and audits.

How do I extract symbol metadata like classes and functions from Python source files?▼

This Skill uses ast.parse to collect symbol metadata including classes, functions, and methods with their line ranges, writing the structured results to .cache/scan/<project>.json for reproducible audits.

Can I perform incremental code analysis scans on a Python project?▼

Yes, incremental scans are supported via the --incremental flag. This updates the existing JSON index by re-scanning only changed files, avoiding a full rebuild of the module dependency graph.

What Python version is required for AST-based code structure indexing?▼

Python 3.10 or higher is required for AST-based code structure indexing. The scanner uses the built-in ast.parse module to analyze source files and build the import graph without external dependencies.

How do I calculate blast-radius metrics for Python module refactoring?▼

Calculate blast-radius metrics by indexing the import graph and symbol-level references across the codebase. The scanner outputs these metrics to a JSON file, helping assess the impact of refactoring specific modules.

What is the best way to audit module dependencies in a medium to large Python project?▼

The best way to audit module dependencies is to index the codebase into a reproducible JSON graph. This AST-based approach captures import relationships and symbol metadata, providing a structured view for safe refactors and audits.