hypothesis-validation SKILL.md skillA

hypothesis-validation from arcanada-one/datarim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add arcanada-one/datarim/hypothesis-validation@git:20261014.e0361eb

Pins git:20261014.e0361eb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
arcanada-one/datarim
Path
plugins/product-discovery/skills/hypothesis-validation/SKILL.md
Versions recorded
1
Latest version
git:20261014.e0361eb, committed Oct 14, 2026
Size
6,678 bytes
Repository stars
16
License
MIT

Use when a product decision depends on an uncertain claim and needs a bounded, falsifiable check.

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

# Hypothesis Validation

Use this method when a product or research decision depends on an uncertain, observable claim. This task-skill inherits the caller's model to follow Datarim's vendor-default assignment policy for structured research and content work. It helps a researcher state what would change their mind and choose a proportionate way to learn. It does not run experiments, grant permission, establish market demand, or make a result transferable beyond its recorded scope.

## When to use it

Use this method after the problem and relevant segment are stated, when a consequential assumption needs a discriminating check. A check can be a desk review, usability task, interview protocol, prototype walkthrough, log analysis, or controlled comparison. Not every test is an A/B test. Select a design that can observe the claim without implying stronger causal evidence than it can provide.

Stop at a draft when the outcome is not observable, the disconfirming observation is missing, required inputs are unresolved, or a necessary side-effect grant is absent. Do not invent probabilities, participant access, observations, or permission. Keep all examples in this skill synthetic.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add arcanada-one/datarim/hypothesis-validation@sha256:1e162dccf026630b

The line at the top of this page pins the label git:20261014.e0361eb, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hsj4xascof37rw7e.svg)](https://markdownregistry.com/a/art_hsj4xascof37rw7e)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 14, 2026.

versioncommittedcommitsizeaudit
git:20261014.e0361eb latest2026-10-14 e0361eb 6,678 BA view

Audit of the latest version

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 (6678 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

arcanada-one/datarim · 16 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hsj4xascof37rw7e
GET https://markdownregistry.com/api/v1/resolve?ref=arcanada-one/datarim/hypothesis-validation
GET https://markdownregistry.com/api/v1/blob/1e162dccf026630bba37369e45a9ac49d10a38ab9371da5e77bd1be67e77a610

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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in arcanada-one/datarim

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