agents-cli is a command-line tool and collection of skills that guides coding assistants through building, evaluating, and deploying AI agents on Google's Gemini Enterprise Agent Platform. Developers use it with assistants such as Claude Code, Codex, and Antigravity CLI to work with Google Cloud agent services. The catalogue entries provide skills and a plugin for that development workflow.
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 google/agents-cli --skill agents-cli-claudegit clone --depth 1 https://github.com/google/agents-cliWrote 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/google/agents-cli/agents-cli-claude)<a href="https://agentmods.dev/skills/google/agents-cli/agents-cli-claude"><img src="https://agentmods.dev/badge/skills/google/agents-cli/agents-cli-claude/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/google/agents-cli/agents-cli-claude"><img src="https://agentmods.dev/badge/skills/google/agents-cli/agents-cli-claude.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 | $0.00077 | $0.01411 |
| Opus 5.5 | $0.00031 | $0.00564 |
| Sonnet 5.5 | $0.00015 | $0.00282 |
| Haiku 4.5 | $0.00008 | $0.00141 |
Grade A, and why
agents-cli-claude 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Agent SDK project (agents-cli)
The agent is a ClaudeAgentOptions exported as root_agent from
app/agent.py. There is no google.adk dependency and no ADK runner. Other
google-agents-cli-* skills assume ADK; where they describe the agent itself,
this skill wins.
Experimental. Deploy to agent_runtime (limits: references/claude.md) or cloud_run.
The model runs on Claude on Gemini platform and must be enabled in Model Garden.
What ADK guidance maps to here
| ADK guidance | This project |
|---|---|
LlmAgent, Agent |
ClaudeAgentOptions(model=..., system_prompt=..., ...) assigned to root_agent |
Agent(name=...) |
AGENT_NAME in app/app_utils/settings.py (ClaudeAgentOptions has no name); keep it equal to create_params.root_agent_name in agents-cli-manifest.yaml |
google.adk.tools, FunctionTool |
@tool(...) async functions, served by create_sdk_mcp_server and passed in mcp_servers |
adk web, agents-cli playground |
Unavailable (no SDK dev UI). Use agents-cli run, or uv run uvicorn app.fast_api_app:app --port 8080 |
ADK runner behind agents-cli run |
agents-cli run runs root_agent in process |
agents-cli eval dataset synthesize, eval optimize |
Unavailable: both drive the agent through ADK. The command says so and exits |
agents-cli eval generate --url (traces from a served agent) |
Unavailable: the server speaks A2A, not ADK's /run_sse. eval generate runs root_agent in process; the command refuses --url |
| ADK sessions | Claude sessions, one per A2A conversation; scaffold with --session-type cloud_sql to keep them across instances |
The contract
app/agent.pyexportsroot_agent: ClaudeAgentOptions. Only it changes when you change the agent.app/app_utils/claude.pyruns it. Leaveapp/app_utils/alone.- The served agent's own
CLAUDE.md,.claude/and.mcp.jsongo inagent_config/. app/fast_api_app.pyexposesapp. Every deployment target runsuvicorn app.fast_api_app:app.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 107 lines · 77 tokens per session scan A 099cd6e34845
agents-cli-claude is a skill published in the GitHub repository google/agents-cli (6,193 stars, last pushed today), licensed Apache-2.0. It adds 77 tokens to every session and 1,411 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-28.
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