agent-evaluation
Design and implement comprehensive evaluation systems for AI agents. Use when building evals for coding agents, conversational agents, research agents, or computer-use agents. Covers grader types, benchmarks, 8-step roadmap, and production integration.
88
1.05x
Quality
88%
Does it follow best practices?
Impact
81%
1.05xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
No security issues found
Scanned
- Repository
- supercent-io/skills-template
- Commit
fd18296
- 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.