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 commands/gopherguides/gopher-ai/geminigit clone --depth 1 https://github.com/gopherguides/gopher-aiWhat 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 | $0.00007 | $0.01606 |
| Opus 5 | $0.00003 | $0.00803 |
| Sonnet 5 | $0.00001 | $0.00321 |
| Haiku 4.5 | $0.00001 | $0.00161 |
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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegate to Gemini
If $ARGUMENTS is empty or not provided:
Display usage information and ask for input:
This command delegates tasks to Google Gemini CLI for analysis and code review.
Usage: /gemini <prompt>
Examples:
| Command | Description |
|---|---|
/gemini review the auth implementation |
Code review |
/gemini explain this error handling pattern |
Code explanation |
/gemini suggest improvements for this function |
Refactoring advice |
/gemini what are the security implications here |
Security analysis |
Available Gemini Routing:
| Option | Behavior |
|---|---|
| Auto (recommended) | Let the Gemini CLI route to the best current model |
| Custom model ID | Ask for an exact model ID and pass it with -m |
Ask the user: "What would you like Gemini to analyze?"
If $ARGUMENTS is provided:
Run a task using Google Gemini CLI with the prompt: $ARGUMENTS
1. Check Prerequisites
First, verify Gemini CLI is installed:
which gemini
If not found, inform the user:
Gemini CLI is not installed. Install it with:
npm install -g @google/gemini-cliThen authenticate:
gemini(will prompt for Google login) or setGEMINI_API_KEY
Then ask if they want to proceed after installation or use a different LLM (/codex or /ollama).
2. Select Model
Ask the user how Gemini should choose a model:
| Option | Description |
|---|---|
| Auto (recommended) | Use Gemini CLI Auto routing; pass no -m flag |
| Custom model ID | Ask for an exact Gemini model ID; pass it with -m |
Default: Auto
If the user chooses Custom model ID, ask for the model ID and store it as MODEL. Otherwise leave MODEL unset or empty.
3. Include Context (Optional)
Ask the user: "Do you want to include additional context?"
| Option | Description |
|---|---|
| No | Run with prompt only |
| File context | Include contents of specific file(s) |
| Diff context | Include git diff output |
| Session context | Include summary of current Claude session |
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.
- 2d ago First seen · 196 lines · 7 tokens per session scan A 8cfe1a955f2e
gemini is a command published in the GitHub repository gopherguides/gopher-ai (21 stars, last pushed 2d ago), licensed MIT. It adds 7 tokens to every session and 1,606 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.
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