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.
86
1.75x
Quality
—
Does it follow best practices?
Impact
91%
1.75xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
No security issues found
Scanned
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
e9f9b67
- Audited
- Security analysis
Is this your skill?
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.