Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add hamzabellouch/agent-skills --skill google-agents-cli-onboardinggit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hamzabellouch/agent-skills/google-agents-cli-onboarding)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/google-agents-cli-onboarding"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/google-agents-cli-onboarding/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/google-agents-cli-onboarding"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/google-agents-cli-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.00958 |
| Opus 5 | $0.00048 | $0.00479 |
| Sonnet 5 | $0.00019 | $0.00192 |
| Haiku 4.5 | $0.00010 | $0.00096 |
Grade A, and why
google-agents-cli-onboarding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to google-agents-cli-onboarding — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Agents CLI Onboarding
[!TIP] One-Time Setup: To install the CLI and enable all 7 specialized development skills in your coding agent, run the setup command:
uvx google-agents-cli setupAlternatively, to install only the expert skills and let the agent handle execution:
npx skills add google/agents-cli
Overview
This skill serves as the entrypoint for agents-cli — Google's toolkit for building, evaluating, and deploying AI agents on the Gemini Enterprise Agent Platform.
Use this skill to perform the initial setup and identify the correct specialized workflows for your task.
The Agent Development Lifecycle
After running the setup, the following specialized skills become available and will activate automatically based on your requests. Use this table to identify which skill to load for your current phase:
| Phase | Specialized Skill | Purpose / When to Load |
|---|---|---|
| 0 — Understand | google-agents-cli-workflow |
Clarify intent. Define the agent spec in .agents-cli-spec.md before coding. |
| 1 — Study | google-agents-cli-workflow |
Leverage samples. Study existing agent samples (e.g., ambient-expense) before scaffolding. |
| 2 — Scaffold | google-agents-cli-scaffold |
Create/Enhance. Initialize the project structure, CI/CD, and infrastructure templates. |
| 3 — Build | google-agents-cli-adk-code |
Implement. Write agent logic, tools, callbacks, and manage state using ADK APIs. |
| 4 — Evaluate | google-agents-cli-eval |
Validate Quality. Run systematic evaluations (LLM-as-judge). |
| 5 — Deploy | google-agents-cli-deploy |
Go Production. Deploy to Agent Runtime (Vertex AI), Cloud Run, or GKE. |
| 6 — Publish | google-agents-cli-publish |
Register. Make your agent available as a tool in Gemini Enterprise. |
| 7 — Observe | google-agents-cli-observability |
Monitor. Set up Cloud Trace, prompt-response logging, and BigQuery analytics. |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 90 lines · 95 tokens per session scan A fd48e52bd47e
google-agents-cli-onboarding is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 958 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to google-agents-cli-onboarding, differing in 0 lines, and is treated as a copy.
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