ai-regression-testing

ai-regression-testing is a Test strategy & case design skill for AI agents, published by Jamkris in the everything-gemini-code repository on GitHub. Skillspace rates ai-regression-testing D (66/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

Grade
D
Quality
66 / 100
Safety
Needs review
GitHub stars
83

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.

View source on GitHubJamkris/everything-gemini-code

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 2 other repositories, in 0 collections

What the scanner flagged

  • reads environment variables

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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