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behavioral-evals

@google-gemini Updated 2026-10-10

Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt steering, or adding workspace regression tests.

aiai-agentscligeminigemini-apimcp-clientmcp-server

Install

With your agent

Install OMGSkills skill "google-gemini/gemini-cli:behavioral-evals" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/google-gemini/gemini-cli /tmp/gemini-cli && ln -s /tmp/gemini-cli/.gemini/skills/behavioral-evals ~/.claude/skills/behavioral-evals

From README

Behavioral Evals Overview Behavioral evaluations (evals) are tests that validate the agent's decision-making (e.g., tool choice) rather than pure functionality. They are critical for verifying prompt changes, debugging steerability, and preventing regressions. [!NOTE] Single Source of Truth: For core concepts, policies, running tests, and general best practices, always refer to evals/README.md. --- 🔄 Workflow Decision Tree Does a prompt/tool change need validation? No -> Normal integration tests. Yes -> Continue below. Is it UI/Interaction heavy? Yes -> Use appEvalTest (AppRig). See creating.md. No -> Use evalTest (TestRig). See creating.md. Is it a new test? Yes -> Set policy to USUALLYPASSES. No -> ALWAYSPASSES (locks in regression). Are you fixing a failure or promoting a test? Fixing -> See fixing.md. Promoting -> See promoting.md.