output-review

Automated output audits verify skill results against a defined checklist to detect deviations, flag prompt-injections, and identify data leakage. This ensures accuracy, safety, and alignment with requirements.

AI output quality assurance is the process of validating skill results for accuracy, safety, and compliance. You need it when preventing flawed or unsafe AI-generated results, such as ensuring summaries exclude sensitive data.

Yes, you can automatically check skill results for prompt-injections and data leakage through safety and compliance checks. These validations encapsulate requirements as deterministic guards that run automatically.

You validate that a summary follows specific requirements by running an audit on the latest skill output. This identifies and reports any deviations between the actual output and its defined checklist automatically.

Automated skill evaluation limitations depend on the deterministic checks and validations you encapsulate. It reports deviations between actual outputs and defined checklists, meaning its coverage is bounded by the specific safety guards configured.