Evaluation

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

18,259 stars 1,508 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill evaluation
Manual install
git clone --depth 1 https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering.git /tmp/Agent-Skills-for-Context-Engineering
mkdir -p ~/.claude/skills
cp -r /tmp/Agent-Skills-for-Context-Engineering/skills/evaluation ~/.claude/skills/evaluation

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Evaluation Methods for Agent Systems

Evaluate agent systems differently from traditional software because agents make dynamic decisions, are non-deterministic between runs, and often lack single correct answers. Build evaluation frameworks that account for these characteristics, provide actionable feedback, catch regressions, and validate that context engineering choices achieve intended effects.

## When to Activate

Activate this skill when:
- Testing agent performance systematically
- Validating context engineering choices
- Measuring improvements over time
- Catching regressions before deployment
- Building quality gates for agent pipelines
- Comparing different agent configurations
- Evaluating production systems continuously

Do not activate this skill for adjacent work owned by other skills:
- Designing the LLM judge itself, pairwise comparison, judge calibration, or bias mitigation: `advanced-evaluation`.
- Designing autonomous control surfaces, novelty gates, rollback, or PR approval boundaries: `harness-engineering`.
- Debugging a specific context failure mode before measuring it: `context-degradation`.

## Core Concepts

Focus evaluation on outcomes rather than execution paths, because agents may find alternative valid routes to goals. Judge whether the agent achieves the right outcome via a reasonable process, not whether it followed a specific sequence of steps.
Read the full skill on GitHub

Details

Skill name
evaluation
Path
skills/evaluation/SKILL.md
License
MIT
Repo updated
12 October 2026

FAQ

What does the Evaluation skill do?

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

How do I install the Evaluation skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill evaluation. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Evaluation popular?

It lives in muratcankoylan/Agent-Skills-for-Context-Engineering, which has 18,259 GitHub stars and 1,508 forks, and is included in 3 curated skill lists.

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