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 agentmods add agents/a5c-ai/babysitter/geminigit clone --depth 1 https://github.com/a5c-ai/babysitterWrote 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/agents/a5c-ai/babysitter/gemini)<a href="https://agentmods.dev/agents/a5c-ai/babysitter/gemini"><img src="https://agentmods.dev/badge/agents/a5c-ai/babysitter/gemini.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00391 |
| Opus 5 | $0.00000 | $0.00196 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
gemini 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 4d 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.
What it actually says
Gemini CLI
Adapter for Google's Gemini CLI.
Install
adapters install gemini
Minimum CLI version: 1.0.0. Supported on macOS, Linux and Windows.
Auth
- API key — set
GOOGLE_API_KEYorGEMINI_API_KEY. - Browser login — sign in with a Google account.
Config file: ~/.config/gemini/settings.json.
Minimal run
adapters run gemini --prompt "Explain this diff"
Notable flags
--model <id>— defaultgemini-2.5-pro; alsogemini-2.5-flash.--prompt <text>— forwarded prompt.--sandbox false— emitted whenapprovalMode: 'yolo'to disable the sandbox.
Session files
- Location:
~/.gemini/sessions/*.jsonl - JSONL-formatted; standard adapters parser.
Extensions
Extension support: yes — Gemini CLI extension format for prompts, MCP servers, commands, themes, and hooks.
Extension Management
adapters plugin install gemini <extension>
adapters plugin list gemini
MCP Servers
adapters mcp install gemini <mcp-server>
adapters mcp list gemini
Registry: https://modelcontextprotocol.io for MCP servers.
Capabilities
1M-token context window, thinking (low/medium/high) with streaming, parallel tool calls, JSON mode, structured output, image input, file input.
Known limitations
- No image output.
- Project-level config is not supported (
supportsProjectConfig: false). --sandbox falseshould only be used in trusted environments — it disables the CLI's built-in safety sandbox.
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.
- 4d ago First seen · 64 lines · 0 tokens per session scan A 17583c44e772
gemini is an agent published in the GitHub repository a5c-ai/babysitter (1,765 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 391 tokens. 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 2026-08-30.
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