llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
60
1.79x
Quality
41%
Does it follow best practices?
Impact
95%
1.79xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
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npx tessl skill review --optimize ./plugins/llm-application-dev/skills/llm-evaluation/SKILL.mdNo security issues found
Scanned
- Repository
- wshobson/agents
- Commit
91fe43e
- Audited
- Security analysis
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.