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/untra/operator/gemini-cligit clone --depth 1 https://github.com/untra/operatorWhat 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 | $0.00009 | $0.00315 |
| Opus 5 | $0.00005 | $0.00158 |
| Sonnet 5 | $0.00002 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
gemini-cli 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 yesterday.
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 is Google's multimodal agent CLI with strong coding capabilities.
Status
Gemini integration is currently experimental. Features may be limited compared to other agents.
Installation
Install the Google AI SDK:
pip install google-generativeai
Plans and Pricing
Configuration
See the full Gemini agent configuration reference.
Add Gemini to your Operator configuration:
# ~/.config/operator/config.toml
[agents.gemini]
enabled = true
api_key_env = "GOOGLE_AI_API_KEY"
model = "gemini-pro"
Authentication
Set your Google AI API key:
export GOOGLE_AI_API_KEY="your-api-key"
Get an API key from Google AI Studio.
Features
Gemini provides:
- Code generation and completion
- Multi-language support
- Code explanation
- Documentation generation
Limitations
Current experimental limitations:
- Limited context window compared to Claude
- May require more specific prompting
- Some Operator features may not be fully supported
Operator Integration
When Operator assigns a ticket to Gemini:
- Gemini receives the ticket context
- Generates code implementations
- Applies changes to the codebase
- Reports completion status
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.
- yesterday First seen · 75 lines · 9 tokens per session scan A 5374cfbbfe22
gemini-cli is an agent published in the GitHub repository untra/operator (36 stars, last pushed 4d ago), licensed MIT. It adds 9 tokens to every session and 315 once invoked, about $0.0000 per session on Opus 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.
Other agents, from other repositories
code-reviewer
Review PRs against this checklist. Be concise - only comment on actual issues.
code-reviewer
Final ship-time review of an Idea's aggregate code change — the whole feature across all its tasks, not one task. Read-only; posts a VERDICT comment on the Idea. Spawn after the last task of an idea-rooted proposal is verified.
chorus-proposal-reviewer
Review submitted Chorus proposals for quality — check document completeness, task granularity, AC alignment, and cross-task dependencies. Spawn via the blocking subagent tool after choruspmsubmitproposal.
chorus-task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn via the blocking subagent tool after chorussubmitforverify.
task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn after chorussubmitforverify.
chorus
You are the Chorus main agent for Amazon Kiro CLI. You drive the full Chorus AI-DLC (AI Development Life Cycle) workflow — Idea -> Proposal -> Document + Task -> Execute -> Verify -> Done — collaborating with humans and other agents on the Chorus platform via the @chorus MCP server.