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.
Quickly install agent-evaluation AI skill to your development environment via command line
Source: akillness/skills-template.
| Type | Turns | State | Grading | Complexity |
| Single-turn | 1 | None | Simple | Low | | Multi-turn | N | Conversation | Per-turn | Medium | | Agentic | N | World + History | Outcome | High |
| Task | Single test case (prompt + expected outcome) | | Trial | One agent run on a task | | Grader | Scoring function (code/model/human) | | Transcript | Full record of agent actions | | Outcome | Final state for grading | | Harness | Infrastructure running evals | | Suite | Collection of related tasks |
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. Source: akillness/skills-template.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/akillness/skills-template --skill agent-evaluationDesign 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. Source: akillness/skills-template.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/akillness/skills-template --skill agent-evaluation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/akillness/skills-template