Summary
This is for when you need to test whether your AI agent is making the right decisions, not just whether your code works. You'll use evalTest for logic validation and appEvalTest for UI-heavy scenarios. The workflow is structured around a policy system: new tests start as USUALLY_PASSES, then get promoted to ALWAYS_PASSES once stable to lock in regression coverage. What I like here is the pragmatism. It includes specific guides for the three things you actually do: creating tests with workspace seeding and breakpoint assertions, fixing failures with investigation steps, and promoting candidates when they're ready. The decision tree at the top saves you from overthinking which approach to use.
Install to Claude Code
npx -y skills add google-gemini/gemini-cli --skill behavioral-evals --agent claude-codeInstalls into .claude/skills of the current project.
Agent, run crypto. Access onchain data & trade routes via 1inch.
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Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md
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Featured
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →First SeenJun 3, 2026
