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 benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
6.3
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0
Installs
AI & LLM
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The skill provides a solid structural foundation with clear capabilities, patterns, and sharp edges for agent evaluation. However, it lacks concrete implementation details, methodologies, and actionable guidance. The description adequately explains when to use the skill, and the structure is clean with good organization. Task knowledge is weak—patterns and sharp edges are listed but not explained (most sections have placeholder comments rather than actual solutions). Novelty is moderate: while agent evaluation is important and differs from traditional testing, the skill as presented doesn't provide enough specialized knowledge or tooling that would significantly reduce token usage compared to a CLI agent researching the topic independently. To improve: add specific testing frameworks, concrete evaluation metrics, code examples for statistical analysis, and detailed solutions for the identified sharp edges.
davila7
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