tsa-graph
tsa-graph is a Codebase mapping & onboarding skill for AI agents, published by aimasteracc in the tree-sitter-analyzer repository on GitHub. Skillspace rates tsa-graph D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Code archaeology via call graph + symbol resolution. Answer "who calls X", "what does Y call", "where is Z defined", "what's the path from A to B" in one MCP call instead of multi-step grep + read. Uses persisted cross-file resolution (Synapse) so cross-module edges are precise, not regex-guessed. Use when: - User asks "what calls this function" / "what does this function call" - Tracing a bug through layers (impact → caller chain) - Planning refactor of a function/class (need full fanout) - "Where is this symbol defined" / "find all references to X" - "Show me the path from handler → DB" - "Draw a UML class/package/component/sequence diagram" Replaces: grep + read + manual chain-following (~10-30k tokens) with 2-4 MCP calls (~1-3k tokens).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 43
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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