Agent Evaluation

Agent Evaluation is a Quality skill for Claude Code, published by seb1n in awesome-ai-agent-skills.

174 stars32 forkson seb1n/awesome-ai-agent-skillsAdded 2026/09/07+2% in starsRepository updated 2026/08/09

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Install in seconds

Install Agent Evaluation

Copy Agent Evaluation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/seb1n/awesome-ai-agent-skills/tree/main/agent-engineering/agent-evaluation ~/.claude/skills/agent-evaluation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/seb1n/awesome-ai-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: agent-engineering/agent-evaluation/SKILL.md in seb1n/awesome-ai-agent-skills
Installs to: ~/.claude/skills/agent-evaluation
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1817 skills

What Agent Evaluation does

Agent Evaluation designs reproducible tests for AI agents using task sets, rubrics, graders, baselines, and release gates. Use it when comparing prompts or models, validating a release, or investigating regressions.

Agent Evaluation is cataloged under Quality on DirSkills. Agent Evaluation comes from a repository tagged agent-skills, ai-agent-skills, ai-agents, awesome-list and claude-code.

Documentation

README

Excerpt

Agent Evaluation

Build evidence that can inform a release owner, not a showcase of favorable examples or a safety certification.

Use when

Define quality before building or changing an agent.
Compare prompts, models, tools, memory strategies, or orchestration patterns.
Convert production failures into regression cases.
Establish a repeatable release gate or human-review plan.

Inputs

Collect the agent objective, users, supported tasks, unacceptable outcomes, current baseline, execution environment, available traces, and evaluation budget. State assumptions when an input is unavailable.

Output contract

Produce:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Evaluation

What else does seb1n publish alongside Agent Evaluation?
Agent Evaluation is one of 25 skills that DirSkills catalogs from seb1n/awesome-ai-agent-skills, the repository it ships in. Its siblings there include API Design, API Integration and Agent Observability. Each one is a separate skill with its own page in this directory, installs the same way Agent Evaluation does, and is maintained by seb1n in that same repository. The rest of the collection is listed on the seb1n/awesome-ai-agent-skills page.
How does Agent Evaluation compare to other Quality skills?
Agent Evaluation ranks #1716 by stars among the 1817 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Evaluation against them. Open each page to compare what they document and how they install.