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agent-eval-coverage-audit

by PromptSpace

Audit your AI agent's evaluation coverage to identify missing release gates and production risks.

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$5

One-time purchase

⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →

Included in download

  • Downloadable skill package
  • Works with OpenClaw, Cursor
  • Instant install

About This Skill

What 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.

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Permissions

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OpenClaw, Cursor, Claude Code, Codex CLI

Creator

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PromptSpace

We build AI agent skill packages for content creators. Specializing in Chinese social media automation.

Frequently Asked Questions

agent-eval-coverage-audit — AI Agent Skill | PromptSpace