tsa-pr-review

tsa-pr-review is a Change & PR review skill for AI agents, published by aimasteracc in the tree-sitter-analyzer repository on GitHub. Skillspace rates tsa-pr-review D (63/100) and it passed the safety scan; the rating is based on static analysis only.

AST-grounded PR / diff review. One workflow → per-file risk ranking, blast radius per changed symbol, the exact pytest command to gate merge, any architecture-constraint violations, and a final BLOCK / REVIEW / APPROVE verdict — in ~1–2k tokens and 4–6 MCP calls. Goes beyond a generic LLM diff-read because only TSA's `edit action=impact` returns a deterministic `verification_command` + `queue_ledger`, and only the persisted call graph can enumerate true callers/callees of changed symbols. (Per `docs/internal/COMPETITOR_HEAD_TO_HEAD_2026-05-23.md`: CodeGraphContext silently indexes 0 files, grep-ast crashes on Python 3.14, wrale miscounts imports. A pure-LLM diff reader has none of these guard-rails — it cannot reach the AST cache to enumerate callers, cannot consult `architectural-constraints.yml`, and invents a pytest command instead of reading the one TSA computed.) Use when: - Reviewing a local diff (`git diff`, staged, branch-vs-main) - Reviewing a GitHub PR URL - User asks "is…

Grade

D

Quality

63 / 100

Safety

Passed

GitHub stars

43

Unproven: rated by static analysis only, not yet compared head-to-head.

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