Borrowing it
Nothing to install: this file belongs to cmdaltctr/claude-gemini-mcp-slim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cmdaltctr/claude-gemini-mcp-slim/main/.claude/commands/gemini.mdgit clone --depth 1 https://github.com/cmdaltctr/claude-gemini-mcp-slimWrote 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/commands/cmdaltctr/claude-gemini-mcp-slim/gemini)<a href="https://agentmods.dev/commands/cmdaltctr/claude-gemini-mcp-slim/gemini"><img src="https://agentmods.dev/badge/commands/cmdaltctr/claude-gemini-mcp-slim/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 5.1 | $0.00005 | $0.00147 |
| Opus 5 | $0.00003 | $0.00073 |
| Sonnet 5 | $0.00001 | $0.00029 |
| Haiku 4.5 | $0.00001 | $0.00015 |
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 6d 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
Ask Gemini
Use Gemini's powerful AI to answer any development question or provide coding assistance.
Usage: /gemini [your question]
Examples:
/gemini How do I implement JWT authentication in Node.js?/gemini What's the difference between React hooks and class components?/gemini Best practices for error handling in Python?
What you asked: $ARGUMENTS
Let me ask Gemini your question using the MCP tool:
!mcp__gemini-mcp__gemini_quick_query query="$ARGUMENTS"
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.
- 6d ago First seen · 22 lines · 5 tokens per session scan A 35a61660f67e
gemini is a command published in the GitHub repository cmdaltctr/claude-gemini-mcp-slim (234 stars, last pushed 9mo ago), licensed MIT. It adds 5 tokens to every session and 147 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 commands, from other repositories
openspec-proposal
Scaffold a new OpenSpec change and validate strictly.
openspec-archive
Archive a deployed OpenSpec change and update specs.
openspec-apply
Implement an approved OpenSpec change and keep tasks in sync.
brainstorm
Guide project ideation through Socratic questioning to generate briefs with validated approaches and decision rationale.
filter-log
Suggest tier-1 filter commands for a log file before any compression or paste. Anchors on the log-debugging-hygiene module.
init
Initialize configurations for Supabase local development.