ask-gemini

A command that asks Gemini for one independent answer to a question. Gemini is a separate AI model, so it does not automatically see the current conversation.

In plain words
What is it for?
Use it to send a complete question and its relevant context to Gemini, then compare the response with your own judgment.
Why use it?
It gives you a second opinion when you want another model’s perspective before making your own decision.

Command

Install

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.

agentmods
npx agentmods add commands/antonbabenko/deliberation/ask-gemini
Clone the repo
git clone --depth 1 https://github.com/antonbabenko/deliberation
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 119 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00119
Opus 5 $0.00007 $0.00060
Sonnet 5 $0.00003 $0.00024
Haiku 4.5 $0.00001 $0.00012

Measured 2d ago against content hash 069388545e2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ask-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.

.opencode/commands/ask-gemini.md · 14 lines

What it actually says

Call the deliberation MCP server's ask-gemini tool to ask Gemini for a single-shot second opinion.

Pass the full question and any needed context as the prompt - the expert does not share this session:

$ARGUMENTS

Read the tool result and apply your own judgment; do not relay raw output verbatim.

Changes

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.

  1. 2d ago First seen · 14 lines · 14 tokens per session scan A 069388545e2e

Subscribe to this mod's changes

ask-gemini is a command published in the GitHub repository antonbabenko/deliberation (138 stars, last pushed 5d ago), licensed MIT. It adds 14 tokens to every session and 119 once invoked, about $0.0001 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.