Parse Python ASTs to build import graphs and symbol metadata.
npx skills add https://github.com/Borda/AI-Rig --skill scan-borda
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
Automates the discovery of module dependencies and symbol relationships in Python projects by building a structured JSON index from Python source files.
Run the scanner to index your project by executing the scan-index script in the CLAUDE_PLUGIN_ROOT directory.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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