tk-impact-analysis
tk-impact-analysis is a Test strategy & case design skill for AI agents, published by tonkeeper in the tonkeeper-web repository on GitHub. Skillspace rates tk-impact-analysis C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra checks, and a generated TXT test collection.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 433
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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.