This file is byte-identical to the first copy the registry indexed, one of 8 indexed copies. Same content hash, so the same checks give both the same grade.
to-questionnaire from miklschmidt/archboard is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
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.
…
The line at the top of this page pins the label git:20261025.3b43540, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (2904 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
miklschmidt/archboard · 4 stars · license a license file GitHub does not identify · pushed 2026-11-09 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g65rwvo3krri6qin
GET https://markdownregistry.com/api/v1/resolve?ref=miklschmidt/archboard/to-questionnaire
GET https://markdownregistry.com/api/v1/blob/b5eb929842ee0e93d867c5e906d183d350f2f2d149eaeaa86967d94d8eda1d3b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
miklschmidt/archboard · .agents/skills/claude-handoff/SKILL.md · Hand the current conversation off to a fresh background agent that picks up the work immediately.
miklschmidt/archboard · .agents/skills/code-review/SKILL.md · Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code…
miklschmidt/archboard · .agents/skills/codebase-design/SKILL.md · Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find…
miklschmidt/archboard · .agents/skills/diagnosing-bugs/SKILL.md · Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports…
miklschmidt/archboard · .agents/skills/domain-modeling/SKILL.md · Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md…
miklschmidt/archboard · .agents/skills/grill-with-docs/SKILL.md · A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
miklschmidt/archboard · .agents/skills/grilling/SKILL.md · Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or…
miklschmidt/archboard · .agents/skills/impeccable/SKILL.md · Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt…
vodailocz/kilo-kit-mcp · skills/productivity/to-questionnaire/SKILL.md · Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
j-star-films-studios/vibecode-protocol-suite · assets/.agent/skills/agent-engineering/to-questionnaire/SKILL.md · Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
mambo-wang/codewiki-plus · .codebuddy/skills/to-questionnaire/SKILL.md · Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
mambo-wang/codewiki-plus · .trae/skills/to-questionnaire/SKILL.md · Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
aethrox/doctrine · skills/to-questionnaire/SKILL.md · Turn a decision that can't be answered alone into a written questionnaire for the person who actually holds the missing…
