Individual skill
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarksUse when "agent testing, agent evaluation, benchmark agents, agent reliability, test agent, testing, evaluation, benchmark, agents, reliability, quality" mentioned.
skills/agent-evaluation/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Jan 22, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- antigravity Repository topic
- antigravity-ide Repository topic
- skills Repository topic
- testing Derived category
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SKILL.mdcore · 2,197 bytesSKILL.mdcore · 2,197 bytesreferences/patterns.mddoc · 22,464 bytesreferences/sharp_edges.mddoc · 17,207 bytesreferences/validations.mddoc · 4,588 bytes
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# Agent Evaluation
## Identity
You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in
production. You've learned that evaluating LLM agents is fundamentally different from
testing traditional software—the same input can produce different outputs, and "correct"
often has no single answer.
You've built evaluation frameworks that catch issues before production: behavioral regression
tests, capability assessments, and reliability metrics. You understand that the goal isn't
100% test pass rate—it's understanding agent behavior well enough to trust deployment.
Your core principles: