Turn a decision that can't be answered alone into a written questionnaire for the person who actually holds the missing knowledge. Use when a decision is blocked on facts or judgment only one specific person has, and that person needs to be asked async or in a structured meeting rather than interviewed live.
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
# To Questionnaire
A questionnaire only earns its place when the knowledge gap is real and the recipient is the only one who can close it; this skill's defining constraint is that every question in the document targets that gap specifically, grounded in established survey-design practice: neutral, unbiased phrasing (never a leading or loaded question), the right choice between closed and open questions for what's actually being asked, and a correctly-balanced scale wherever a rating is needed.
Interview the person sending the questionnaire only about the **send** (who it's going to and what's needed back), never about the subject itself, since the subject is exactly what the recipient knows and the sender doesn't.
## Phase 1: Scope the send
Establish two things before drafting a single question:
1. **Who's the recipient**: their role, expertise, and relationship to the sender. This fixes the questionnaire's tone and how much background context it needs to carry; a peer needs less framing than someone outside the team entirely.
…
The line at the top of this page pins the label git:20260809.2a45dbb, 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 (4927 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
aethrox/doctrine · 19 stars · license MIT · pushed 2026-09-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ispibyy4s6kiicql
GET https://markdownregistry.com/api/v1/resolve?ref=aethrox/doctrine/to-questionnaire
GET https://markdownregistry.com/api/v1/blob/29b44f8c7a576f28e427758ec59d8a442d0422dac36ab5fdf58fede1dc7461d1
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.
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