proprietary-data-generator SKILL.md skillA
proprietary-data-generator from affitor/affiliate-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add affitor/affiliate-skills/proprietary-data-generator@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- affitor/affiliate-skills
- Path
skills/automation/proprietary-data-generator/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Mar 18, 2026
- First version recorded
- Mar 17, 2026
- Size
- 11,408 bytes
- Repository stars
- 733
- License
- MIT
Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: "create original data", "proprietary data", "survey design", "benchmark study", "original research", "data-driven content", "create a survey", "industry benchmark", "aggregated data", "unique data", "first-party data", "data moat", "generate research data", "create a study", "original statistics", "data nobody else has", "competitive data advantage".
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
# Proprietary Data Generator
Create original surveys, benchmarks, and aggregated data that nobody else has. Proprietary data is the ultimate content moat — competitors can copy your writing style but they can't copy YOUR data. Automates the design and execution framework for data collection that feeds unique content angles.
## Stage
S7: Automation & Scale — Generating data at scale requires automation. This skill designs the collection system, not just one data point. Creates repeatable data assets that compound over time.
## When to Use
- User wants to create content that can't be replicated by competitors
- User asks about "original research", "surveys", "benchmarks", "proprietary data"
- User says "data moat", "unique data", "first-party data", "original statistics"
- After `content-moat-calculator` identifies the need for differentiated content
- User wants to build authority through data-driven content
- User wants to create linkable assets that earn backlinks naturally
## Input Schema
```yaml
niche: string # REQUIRED — topic area for data collection
# e.g., "AI video tools", "affiliate marketing"
…Read the whole file at its exact version.
How to install
mdr add affitor/affiliate-skills/proprietary-data-generator@sha256:c31521bd90be667eThe 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.
[](https://markdownregistry.com/a/art_35is6wejtbxg7s3j)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 17, 2026 and Mar 18, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-03-18 | 3c65d86 | 11,408 B | A | view · diff |
| v1.0.0 | 2026-03-17 | 33ada30 | 9,758 B | A | view · diff |
| v1.0 | 2026-03-17 | b0ac492 | 9,553 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11408 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
affitor/affiliate-skills · 733 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_35is6wejtbxg7s3j GET https://markdownregistry.com/api/v1/resolve?ref=affitor/affiliate-skills/proprietary-data-generator GET https://markdownregistry.com/api/v1/blob/c31521bd90be667eeca9702769cade2a4d2120beb2953003164ae0473c040e33
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.
More from affitor/affiliate-skills
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