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.
68
1.75x
Quality
54%
Does it follow best practices?
Impact
91%
1.75xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/llm-application-dev/skills/llm-evaluation/SKILL.mdNo security issues found
Scanned
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
47823e3
- Audited
- Security analysis
Is this your skill?
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