data-modeling SKILL.md skillA
data-modeling from cbrock84/headcount is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cbrock84/headcount/data-modeling@git:20260916.e72e404Pins git:20260916.e72e404 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cbrock84/headcount
- Path
plugins/data-analytics/skills/data-modeling/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260916.e72e404, committed Sep 16, 2026
- First version recorded
- Aug 29, 2026
- Size
- 4,023 bytes
- Repository stars
- 2,543
- License
- MIT
Designs the warehouse and semantic layer — source-to-mart structure, dimensional modeling, grain, slowly changing dimensions, and the metric layer analytics reads through. Use this to design or restructure a warehouse, model a new source, decide on grain or table structure, build a semantic or metric layer, or diagnose why queries are slow, wrong, or impossible to write.
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 modeling ## Layers, and why the middle one matters Three layers, each with one job: 1. **Raw** — source data, append-only, otherwise unmodified. Do not apply *business* logic on ingest: you cannot recover what you discarded, and the logic will need to change retroactively. **Privacy and security transformations are the exception, and belong at ingest.** Credentials and secrets should never land in the warehouse at all. Personal data that is not needed should be dropped rather than stored and governed later, and identifiers you must keep but rarely need in the clear should be tokenized or encrypted on arrival. Retention and deletion apply from ingest, not from the marts. The distinction: strip what you must not hold, keep everything you are entitled to hold, and leave interpretation for later. 2. **Staging** — cleaned and conformed: consistent types, standardized names, deduplicated, no business logic yet. 3. **Marts** — business-facing models shaped for how questions are asked. The discipline that pays is keeping business logic out of layers 1 and 2. Logic embedded in ingestion cannot be changed retroactively, and it will need to change. …
Read the whole file at its exact version.
How to install
mdr add cbrock84/headcount/data-modeling@sha256:337fd67e55b048c8The line at the top of this page pins the label git:20260916.e72e404, 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_hduurs2tq5nwzdoo)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Aug 29, 2026 and Sep 16, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.e72e404 latest | 2026-09-16 | e72e404 | 4,023 B | A | view · diff |
| git:20260829.a3e03fc | 2026-08-29 | a3e03fc | 3,684 B | A | view · diff |
| git:20260829.635d8e8 | 2026-08-29 | 635d8e8 | 3,080 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 (4023 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
cbrock84/headcount · 2,543 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hduurs2tq5nwzdoo GET https://markdownregistry.com/api/v1/resolve?ref=cbrock84/headcount/data-modeling GET https://markdownregistry.com/api/v1/blob/337fd67e55b048c8ed17a3b954e419dc3dbf7c8dcfda92aaba532e02e1b8e35f
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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