agent-evals
Provides a systematic approach to evaluating AI agents using binary criteria instead of subjective scales. Focuses on error analysis, trace examination, and creating component-level tests. Includes practical templates for graders and workflows to identify failure patterns in agent reasoning.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install panaversity-agentfactory-agent-evals
Repository
Skill path: .claude/skills/agent-evals
Provides a systematic approach to evaluating AI agents using binary criteria instead of subjective scales. Focuses on error analysis, trace examination, and creating component-level tests. Includes practical templates for graders and workflows to identify failure patterns in agent reasoning.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Testing.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: panaversity.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install agent-evals into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/panaversity/agentfactory before adding agent-evals to shared team environments
- Use agent-evals for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.