agent-eval-coverage-audit
Audit your AI agent's evaluation coverage to identify missing release gates and production risks.
skill install https://www.promptspace.in/skills/agent-eval-coverage-auditWhat it does
This skill provides a professional-grade evaluation of your AI agent's testing infrastructure. It inspects evaluation configurations, sample datasets, CI/CD hooks, and policy checks to identify critical gaps in your release gates. It transforms technical debt into a structured remediation plan, ensuring your agent pilots are truly production-ready.
Why use this skill
Manual evaluation of your eval suite is meta-work that often gets skipped. This skill automates the process by analyzing your current test surface against industry best practices. Unlike simple prompts, it cross-references your system's success definitions with existing traces and configs to spot "false greens" and missing edge cases that could lead to production failures.
Supported tools
- Frameworks: Supports any JSON-based eval config (Promptfoo, LangSmith, etc.)
- Environments: PowerShell, Python 3.x
- Outputs: Generates executive-ready Markdown reports and machine-readable JSON for CI/CD integration
Use cases
- Identify blind spots in agent evaluation suites before production release.
- Generate client-ready audit reports in Markdown and JSON formats.
- Verify if CI/CD hooks adequately enforce safety and quality policies.
- Analyze execution traces to improve success definitions and test datasets.
Example
Prompt
Sample output preview is available after purchase.