Agent skill that builds a queryable belief map of a codebase (modules, boundaries, dependencies, entities) via tree-sitter, so AI coding agents scope changes precisely: architecture discovery, blast-radius and impact analysis, boundary and layer-violation checks, and call/data-flow tracing across Python and TypeScript.
diskd-ai/codespaces is sitting at #850 on the trending leaderboard with a pulse of 16/100 with no cross-source channels firing yet — GitHub-stars-only signal so far.
It sits at 9 stars without a fresh weekly delta on record — the trending placement here is steady-state interest in the AI agent / LLM tooling stack rather than a 7-day breakout.
Watch-outs: no tagged release on record (treat as pre-stable).
git clone https://github.com/diskd-ai/codespaces.gitThen follow the README in the cloned directory.
//COMMENTS · 0
Sign in to join the discussion