data-and-original-research SKILL.md skillA

data-and-original-research from social-media-skills/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add social-media-skills/skills/data-and-original-research@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
social-media-skills/skills
Path
skills/data-and-original-research/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Jul 18, 2026
First version recorded
Jul 8, 2026
Size
7,889 bytes
Repository stars
251
License
MIT

The original-research / data-study content type — turn proprietary data, a survey, a public-dataset analysis, or an experiment into the most linkable and AI-citable asset you can publish. Use when someone wants to build authority with original data, run a "state of X" survey or industry study, turn proprietary/customer data into a publishable stat, or get cited by journalists and AI search (GEO). Uses the PROVE framework. Reads brand-profile + audience-research first. The agent designs the…

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

# data-and-original-research

The **original-data content type** — find a question inside a data void, run a sound method, analyse it honestly,
voice the one finding that travels, and engineer it for citation. A study people *have to cite*; the **format
writers** turn it into cuts, **WoopSocial publishes**, and recurring studies map into the **content-calendar.**

## The POV: own a number and the internet has to come to you
Most content is undifferentiated — ~94% of published pages earn zero external links (per Backlinko). Original
data is the rare exception: publications link to **stories, not products**, and a data finding is a story. It's
also the **#1 GEO asset** — adding statistics is among the strongest levers for AI-answer visibility (per the
Princeton/KDD GEO study), and original data is statistics nobody else owns. Brands skip it because it's harder
than a listicle — which is exactly the moat. The catch: a study is worth **nothing the moment one number is
wrong.** Rigor isn't pedantry; it's the entire value. So the skill is knowing **what** to study, **how** to get
real data, and how to make the finding **impossible not to cite** — never inventing it.

## Read these first
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add social-media-skills/skills/data-and-original-research@sha256:70997df03772d985

The line at the top of this page pins the label v1.0.0, 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_yom77ho6lqm356ou.svg)](https://markdownregistry.com/a/art_yom77ho6lqm356ou)

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

Versions

The registry has recorded 3 versions of this file, between Jul 8, 2026 and Jul 18, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-07-18 5222f27 7,889 BA view · diff
v1.0.02026-07-16 2e54555 8,354 BA view · diff
v1.0.02026-07-08 28a59a8 8,334 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 (7889 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

social-media-skills/skills · 251 stars · license MIT · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yom77ho6lqm356ou
GET https://markdownregistry.com/api/v1/resolve?ref=social-media-skills/skills/data-and-original-research
GET https://markdownregistry.com/api/v1/blob/70997df03772d98559651c17362f673d074d4f8e154b3767782c79c71e39ff6e

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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