google-agents-cli-workflow
The google-agents-cli-workflow skill provides a structured development lifecycle for building, evaluating, and deploying agents using the Agent Development Kit (ADK) and the agents-cli tool. It mandates a multi-phase process covering project scaffolding, implementation, behavioral evaluation, and deployment to Google Cloud.
Is google-agents-cli-workflow safe to install?
Review the source first: our audit of google-agents-cli-workflow's source files found 14 shell commands, 4 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands, manages local project files, and performs network requests to install tools and interact with Google Cloud services.
How we audit skills: our security review methodology.
Who is this skill for?
Developers building and deploying AI agents on Google Cloud using the Agent Development Kit (ADK).
What can you do with it?
- Scaffolding new agent projects
- Enhancing existing codebases with agent-cli structure
- Running local smoke tests for agent behavior
- Executing behavioral evaluations using LLM-as-judge
- Deploying agents to Google Cloud infrastructure
- Monitoring agent performance and logs
How good is this skill?
Quality score: 5/10. The skill provides a clear, step-by-step operational framework for agent development. It includes specific commands and strict guidelines for code preservation and testing.
What does the skill file contain?
# Agent Development Workflow & Guidelines **agents-cli** is a CLI and skills toolkit for building, evaluating, and deploying agents on Google Cloud. It works with any coding agent — Antigravity CLI, Claude Code, Codex, or others — and with the agent framework of your choice (the [Agent Development Kit (ADK)](https://adk.dev/) by default). Install with `uvx google-agents-cli setup`. > **Before writing agent code, make sure a scaffolded project exists (see Phase 2).** Skipping scaffolding loses eval boilerplate, CI/CD config, and project conventions. > Requires: google-agents-cli ~= 1.0.0 > ...
Frequently asked questions
What is the purpose of the agents-cli tool?
It serves as a CLI and skills toolkit for building, evaluating, and deploying agents on Google Cloud, supporting the Agent Development Kit (ADK).
Why is Phase 0 (Understand) mandatory?
It ensures the agent's purpose, external dependencies, safety constraints, and deployment preferences are defined before any scaffolding or coding occurs, preventing wasted effort.
How does agents-cli eval differ from pytest?
pytest checks code correctness like imports and function types, while agents-cli eval validates agent behavior such as response quality, tool usage, and persona consistency.
Can I change the model used by my agent?
No, you should not change the model unless explicitly requested. When creating new agents, you should list available models to select the newest version.
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