to-questionnaire

to-questionnaire is a skill for Claude Code, Codex from tt-a1i/matt-skills-with-to-goal. It costs 21 tokens per session (633 once invoked), scanned A, a copy of to-questionnaire, MIT.

A method for turning unanswered decisions or missing facts into a written questionnaire for someone with the needed knowledge. The result is a Markdown document they can complete alone or in a meeting.

In plain words
What is it for?
Use it to identify who should answer, define what you need to learn, and create questions aimed at those specific gaps.
Why use it?
It helps when you cannot resolve an issue yourself and need focused answers from another person instead of an unfocused conversation.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the matt-skills-with-to-goal plugin — 40 skills shipped together

Good fit Use it to identify who should answer, define what you need to learn, and create questions aimed at those specific gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire
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.

Any agent
npx skills add tt-a1i/matt-skills-with-to-goal --skill to-questionnaire
Clone the repo
git clone --depth 1 https://github.com/tt-a1i/matt-skills-with-to-goal

Made for: Claude Code, Codex.

Or install matt-skills-with-to-goal, the plugin that ships this one along with the rest of its 40 skills.

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 to-questionnaire

README.md
[![agentmods](https://agentmods.dev/badge/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire/github.svg)](https://agentmods.dev/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire)
Your own site
<a href="https://agentmods.dev/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire"><img src="https://agentmods.dev/badge/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for to-questionnaire

Your own site · 80×15
<a href="https://agentmods.dev/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire"><img src="https://agentmods.dev/badge/skills/tt-a1i/matt-skills-with-to-goal/to-questionnaire.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 633 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod 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 5.1 $0.00021 $0.00633
Opus 5 $0.00010 $0.00316
Sonnet 5 $0.00004 $0.00127
Haiku 4.5 $0.00002 $0.00063

Measured 13d ago against content hash 8e7f9ed8d7b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

to-questionnaire 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 13d 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.

Origin

This is a copy

97% identical to to-questionnaire — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/productivity/to-questionnaire/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Turn something the user can't answer alone into a questionnaire — a Markdown document they hand to one person to fill in async, or fill out together over a meeting. The recipient holds knowledge the user lacks; the questionnaire pulls it out of them.

Grill the send, not the subject. Interview the user only about the send, which they can always answer: who it goes to, and what they need back. The questions in the document then target the gap between what the recipient knows and what the user needs.

  1. Who is it going to? Ask, in one exchange, the recipient's role, expertise, and relationship to the user. This fixes the questionnaire's tone and how much context it must carry. Done when you know who the recipient is and what they know that the user doesn't.

  2. What do you need back? Ask, in one exchange, the specific decisions or facts the user can't resolve alone and needs from this person. Done when you have a concrete list of what the user must walk away able to do or decide.

  3. Write the questionnaire. Draft questions aimed at the gap from steps 1–2, following the Document structure below. Write it to to-questionnaire-<slug>.md in the current directory (slug from the topic) and report the path. Done when the file exists and every item the user named in step 2 is covered by a question.

Document structure

Frame the document as a discovery questionnaire: the user lacks context, the recipient holds it. Order questions most-important-first — async means you may only get one pass — and group them under ## headings by theme once there are more than a handful. Write it using the template below.

Purpose: why this questionnaire exists and the decision riding on it.

From:To:How your answers will be used:

Context

One paragraph orienting a recipient who wasn't in the user's head. Enough to answer well, not a page.

Read the full file on GitHub · 54 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 54 lines · 21 tokens per session scan A 8e7f9ed8d7b2

Subscribe to this mod's changes

to-questionnaire is a skill published in the GitHub repository tt-a1i/matt-skills-with-to-goal (160 stars, last pushed 15d ago), licensed MIT. It adds 21 tokens to every session and 633 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to to-questionnaire, differing in 11 lines, and is treated as a copy.

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