ai-regression-testing
ai-regression-testing is a Test authoring & frameworks skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates ai-regression-testing D (66/100) and the safety scan flagged it for review; a judge model has also reviewed it.
Flagged for review. Read the source before running it.
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. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Needs review
- GitHub stars
- 255,679
Placed #6 of 6 in the judged category final for Test authoring & frameworks.
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Test authoring & frameworks.
- Trigger
82 82 - Instructions
80 80 - Specificity
85 85 - Safety
95 95 - Disclosure
65 65 - Maintenance
62 62
Grounds its case in a concrete real incident and ships working test-harness code, but stays one dense file with no split-out reference material.
What the scanner flagged
- reads environment variables
Not checked yet
- 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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