grill-me-data SKILL.md skillA
grill-me-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/grill-me-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/grill-me-data/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Apr 7, 2026
- Size
- 3,993 bytes
- Repository stars
- 5
- License
- MIT
Decision tree exploration for data product plans. Interview relentlessly about schema decisions, consumer contracts, quality SLAs, and delivery choices. Use when planning a data product, designing a schema, choosing a delivery method, or when someone asks "grill me on this data product" or "what am I missing in this design?".
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
## Core Instruction Interview the user relentlessly about every aspect of their data product plan until you reach a shared understanding. Walk down each branch of the decision tree, resolving dependencies between decisions one by one. For each question, provide your recommended answer based on context. When the recommendation is obvious, the user just says "yes" and you move on. ## Data Product Decision Branches Start with: "What data product are you planning? Who consumes it and what decision does it inform?" Then walk the tree. These are the branches specific to data products: ### Consumer Branch - Who are the primary consumers? (Explorers, Reporters, Decision-makers, Builders) - How do they access this today? (manual query, existing dashboard, Excel export, nothing) - What format do they need? (dashboard, API, flat file, embedded metric) - What's their technical sophistication? (SQL-fluent, BI-tool-only, non-technical) - What decision does this inform? If they can't name one, stop and run `data-consumer-discovery`. ### Schema Branch - What's the grain? (one row = what?) - Fact or dimension? (measurable events vs. descriptive attributes) …
Read the whole file at its exact version.
How to install
mdr add hollandkevint/data-product-operator/grill-me-data@sha256:70621f88608fd5b6The 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_jf2gxfjyuang7kay)
4 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 (3993 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_jf2gxfjyuang7kay GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/grill-me-data GET https://markdownregistry.com/api/v1/blob/70621f88608fd5b6d662e6225437ef4b871cae0623a66eec28023f6487cff4a7
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.