arbitrage-audit-data SKILL.md skillA
arbitrage-audit-data from hollandkevint/data-product-operator is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hollandkevint/data-product-operator/arbitrage-audit-data@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hollandkevint/data-product-operator
- Path
skills/arbitrage-audit-data/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Apr 7, 2026
- Size
- 3,595 bytes
- Repository stars
- 5
- License
- MIT
3 diagnostic questions for evaluating data product markets through the arbitrage gap lens. Identifies whether your data product sits on a durable or closing advantage. Use when assessing data product positioning, evaluating market risk, or when someone asks "is AI going to replace this?" or "what's our moat?".
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
## The 3 Questions (Data Product Context) ### Question 1: What inefficiency is this data product built on? Every data product sits on top of a gap. Name it: | Gap Type | Data Product Example | Closing Speed | |----------|---------------------|---------------| | **Knowledge asymmetry** | "Only our analysts know how to calculate this metric" | Fast — AI can learn metric definitions | | **Fragmentation** | "Data lives in 5 systems nobody has connected" | Medium — integration tools accelerating | | **Speed** | "This report takes 3 days of manual SQL" | Fast — automation and agents | | **Discipline** | "People skip the quality checks" | Medium — AI can enforce process | | **Judgment** | "Someone needs to decide which cohort definition is clinically valid" | Slow — requires domain expertise | | **Relationship** | "The client trusts our interpretation, not just the numbers" | Slow — fundamentally human | Ask: "If a competitor had the same data and unlimited AI, what would still be hard for them to replicate?" ### Question 2: How fast can AI close this gap? …
Read the whole file at its exact version.
How to install
mdr add hollandkevint/data-product-operator/arbitrage-audit-data@sha256:fda60948b29e8062The line at the top of this page pins the label v0.1.0, 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_cgirihdqpqm424ki)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 7, 2026.
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 (3595 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
hollandkevint/data-product-operator · 5 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cgirihdqpqm424ki GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/arbitrage-audit-data GET https://markdownregistry.com/api/v1/blob/fda60948b29e8062e944e4fd03198a01a03763f1440fd1ee8d835cce05fbbe2a
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.