databricks-data-product-review SKILL.md skillA
databricks-data-product-review 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/databricks-data-product-review@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/databricks-data-product-review/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Sep 11, 2026
- Size
- 5,031 bytes
- Repository stars
- 5
- License
- MIT
Review a Databricks data product or proposed release using approved metadata and query evidence. Use for Unity Catalog scope, Delta change handling, reconciliation, or a release handoff. Does not provision infrastructure or authorize production writes.
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
# Databricks Data-Product Review Produce a release evidence record tied to one intended use, source version and consumer. Use approved metadata or synthetic evidence when live access is unavailable. Do not invent execution results. ## Establish the boundary - Confirm the workspace, cloud, principal, SQL warehouse or compute, runtime and permitted task. - Resolve the actual `catalog.schema.table` names and relevant table versions. Do not guess a release from a familiar name or mix releases silently. - Record the population, grain, business time window, freshness expectation and accepting owner. - Inspect the existing query runner and its restrictions before using another execution path. - Keep credentials out of prompts and artifacts. Do not broaden grants, create shares, enable features or export records as a side effect of review. - Draft queries by default. Execute only authorized reads through the approved connection; bound scan cost and returned data. A row limit does not bound bytes scanned. ## Review the contract …
Read the whole file at its exact version.
How to install
mdr add hollandkevint/data-product-operator/databricks-data-product-review@sha256:bece9bd0a6c18cf3The 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_jp7ws2r4rcuaaiue)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 11, 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 (5031 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_jp7ws2r4rcuaaiue GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/databricks-data-product-review GET https://markdownregistry.com/api/v1/blob/bece9bd0a6c18cf38c95100dcbefa5b8c73be40a7c5d0abf60b3c794c4dfb390
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.