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Skills/AI & Agent Building
google-gemini avatar

Behavioral Evals

google-gemini/gemini-cliOfficial

This is for when you need to test whether your AI agent is making the right decisions, not just whether your code works.

installs
258
GitHub stars
106.4K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add google-gemini/gemini-cli --skill behavioral-evals --agent claude-code

Installs into .claude/skills of the current project.

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What it does

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.

Files

Select a file.

Details

Repository
github.com/google-gemini/gemini-cli
Categories
AI & Agent Building, Debugging, Productivity & Planning, CLI & Terminal
First seen
Jun 3, 2026

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