question

question is a skill for Claude Code, Codex from ggemba/squad-mcp. It costs 0 tokens per session (2,201 once invoked), scanned A, original, Apache-2.0.

A read-only way to ask questions about an existing codebase and receive answers supported by file-and-line references.

In plain words
What is it for?
Use it to find definitions, callers, implementations, or the flow of a feature in the codebase.
Why use it?
It helps you understand where code lives and how it works without launching a larger implementation workflow or changing files.

Skill for Claude CodeCodex

Part of the squad plugin — 10 skills, 14 commands, 12 agents 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 skills/ggemba/squad-mcp/question
Any agent
npx skills add ggemba/squad-mcp --skill question
Clone the repo
git clone --depth 1 https://github.com/ggemba/squad-mcp

Made for: Claude Code, Codex.

Or install squad, the plugin that ships this one along with the rest of its 10 skills, 14 commands, 12 agents.

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 question

README.md
[![agentmods](https://agentmods.dev/badge/skills/ggemba/squad-mcp/question.svg)](https://agentmods.dev/skills/ggemba/squad-mcp/question)
Your own site
<a href="https://agentmods.dev/skills/ggemba/squad-mcp/question"><img src="https://agentmods.dev/badge/skills/ggemba/squad-mcp/question.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,201 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 $0.00000 $0.02201
Opus 5 $0.00000 $0.01100
Sonnet 5 $0.00000 $0.00440
Haiku 4.5 $0.00000 $0.00220

Measured 4d ago against content hash fd647a607908, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

question 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.

skills/question/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Question

Objective

Answer a question about the codebase. Fast, cited, read-only. Position in the workflow:

  • /brainstorm — decide what to build (research + options)
  • /squad:question — answer questions about the existing code (this skill)
  • /squad:implement — build what was decided
  • /squad:review — review what was built

This skill exists because /squad:implement is heavy machinery (classification, plan, gates, advisors, consolidator) — overkill for "where is X?" or "what does this function do?". Question mode skips all of that and dispatches a single read-only subagent.

Inviolable Rules

  1. No code changes. No Edit, Write, NotebookEdit over the user's codebase. The subagent is also read-only by design — but if you, the orchestrator, are tempted to "just fix this real quick" while answering, stop. Redirect the user to /squad:implement. The only file this skill ever writes is the journal .squad/runs.jsonl via record_run for telemetry — gitignored, mode 0o600, not user content. Same single-writer pattern as the squad + debug skills.
  2. No state-mutating shell or git. Read-only git (log, show, blame, ls-files, grep, status) is fine for the subagent. The orchestrator should not invoke shell directly — let the subagent do the searching.
  3. Cite every claim with file:line. A statement about the code without a citation is a hallucination risk; either find the line or say "uncertain — searched X, Y, did not find".
  4. No AI attribution in any artifact you produce.

Inputs

Param Default Description
<question> required Free-form question about the code
--quick off Force breadth=quick (single grep, single excerpt). Sub-second budget.
--thorough off Force breadth=thorough (cross-cutting search, multiple stacks). Slow path.
(neither) default Breadth=medium. Up to 3 search queries, up to 5 excerpts.

Read the full file on GitHub · 172 lines

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 · 172 lines · 0 tokens per session scan A fd647a607908

Subscribe to this mod's changes

question is a skill published in the GitHub repository ggemba/squad-mcp (4 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,201 tokens. 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.

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