ask

ask is a command for coding agents from galilei2050/belay. It costs 14 tokens per session (227 once invoked), scanned A, original, AGPL-3.0.

A command that sends a question to Gemini, Google’s AI model, for an independent answer.

In plain words
What is it for?
Use it to ask Gemini for a second opinion on the text or question supplied in the command arguments.
Why use it?
It gives you another perspective on a question without relying only on the model already working in your coding session.

Command

Part of the second-opinion plugin — 1 skill, 1 command shipped together

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/galilei2050/belay/ask
Clone the repo
git clone --depth 1 https://github.com/galilei2050/belay

Or install second-opinion, the plugin that ships this one along with the rest of its 1 skill, 1 command.

Wrote 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.

agentmods badge for ask

README.md
[![agentmods](https://agentmods.dev/badge/commands/galilei2050/belay/ask.svg)](https://agentmods.dev/commands/galilei2050/belay/ask)
Your own site
<a href="https://agentmods.dev/commands/galilei2050/belay/ask"><img src="https://agentmods.dev/badge/commands/galilei2050/belay/ask.svg" alt="Measured on agentmods" height="20"></a>
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 227 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00227
Opus 5 $0.00007 $0.00113
Sonnet 5 $0.00003 $0.00045
Haiku 4.5 $0.00001 $0.00023

Measured 4d ago against content hash 3683e3f8c287, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ask 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 4d 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.

plugins/second-opinion/commands/ask.md · 23 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 23 lines · 14 tokens per session scan A 3683e3f8c287

Subscribe to this mod's changes

ask is a command published in the GitHub repository galilei2050/belay (2 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 14 tokens to every session and 227 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 2026-08-31.