Rule-based review engine that audits AI training & evaluation scenarios (YAML) for logical flaws, edge cases, bad practices, safety and testability gaps. Ships a 28-rule catalog, 5-dimension rubric, --fail-on CI gate and table/json/md reports.
What is the Abelastro/ai-scenario-review-engine GitHub project? Description: "Rule-based review engine that audits AI training & evaluation scenarios (YAML) for logical flaws, edge cases, bad practices, safety and testability gaps. Ships a 28-rule catalog, 5-dimension rubric, --fail-on CI gate and table/json/md reports.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Add it to a GitHub README or profile — the card updates as the ranking changes:
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the ai-scenario-review-engine issue tracker:
Open GitHub Issues