Brigade is an ecosystem for running crews of AI agents as a personal intelligence system, with local handling of credentials and support for exposing agent crews to the internet for testing. It is for people who want to organize and operate multiple AI agents using their own API keys or existing Claude, ChatGPT, Copilot, Claude Code, or Codex access. The catalogue skills provide workflows for using Brigade and its agent ecosystem.
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 spinabot/brigade --skill geminigit clone --depth 1 https://github.com/spinabot/brigadeWrote 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/spinabot/brigade/gemini)<a href="https://agentmods.dev/skills/spinabot/brigade/gemini"><img src="https://agentmods.dev/badge/skills/spinabot/brigade/gemini/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/spinabot/brigade/gemini"><img src="https://agentmods.dev/badge/skills/spinabot/brigade/gemini.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 | $0.00017 | $0.00232 |
| Opus 5.5 | $0.00007 | $0.00093 |
| Sonnet 5.5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
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 1mo 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- gemini — 92% identical, 4 lines differ
- gemini — 91% identical, 4 lines differ
- gemini — 91% identical, 4 lines differ
- gemini — 91% identical, 4 lines differ
- gemini — 89% identical, 6 lines differ
- gemini — 88% identical, 4 lines differ
- gemini — 88% identical, 4 lines differ
- gemini — 88% identical, 4 lines differ
What it actually says
Gemini CLI
Use Gemini in one-shot mode with a positional prompt (avoid interactive mode).
Quick start
gemini "Answer this question..."gemini --model <name> "Prompt..."gemini --output-format json "Return JSON"
Extensions
- List:
gemini --list-extensions - Manage:
gemini extensions <command>
Notes
- If auth is required, run
geminionce interactively and follow the login flow. - Avoid
--yolofor safety.
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.
- 1mo ago First seen · 44 lines · 17 tokens per session scan A 45df4bab544f
gemini is a skill published in the GitHub repository spinabot/brigade (11,347 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 232 once invoked, about $0.0001 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 2026-08-30.
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