tsa-temporal
tsa-temporal is a Codebase mapping & onboarding skill for AI agents, published by aimasteracc in the tree-sitter-analyzer repository on GitHub. Skillspace rates tsa-temporal D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Find "hot zones" — symbols modified often in recent git history that need extra review attention. Adds temporal context (mod_count_30d / 90d / all) to call-graph queries. Like Hebbian "fire-together-wire-together" but for code: functions that change together often deserve scrutiny together. Use when: - User asks "what's churning the most" / "any hot zones?" - Pre-refactor: "what's the history of this function?" - Code review: "is this file getting hammered?" - You see a verdict=CAUTION with "hot zone" in risk_factors Replaces: `git log --follow --stat` + manual counting per-symbol (~10k tokens for non-trivial files) with 1 MCP call (~500 tokens).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 43
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.