eval-engineer

About eval-engineer

Eval Engineer Eval Engineer turns generic coding agents like Codex and Claude Code into Galileo-backed eval engineers. Read the launch post: Introducing Eval Engineer: Bringing Eval Expertise to Claude and Codex. The idea is simple: coding agents are good at changing code, but AI apps should not improve by guesswork. They should improve through evidence. Eval Engineer gives a coding agent the loop it needs to inspect Galileo traces and metrics, diagnose the failure, make one bounded change, and verify whether the next run actually improved.

Quick Facts

Compatible Skills

These tools work well together with eval-engineer for enhanced workflows:

• devops-claude-skills — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
• ai-research-skills — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
• agent-skill-tdd — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
• openevidence-mcp — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions