data-engineering SKILL.md skillA

data-engineering from cbrock84/headcount is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cbrock84/headcount/data-engineering@git:20260916.e72e404

Pins 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-engineering/SKILL.md
Versions recorded
4
Latest version
git:20260916.e72e404, committed Sep 16, 2026
First version recorded
Aug 29, 2026
Size
3,757 bytes
Repository stars
2,543
License
MIT

Builds and operates data pipelines — ingestion, transformation, orchestration, quality testing, and reliability of data delivery. Use this to design or debug a pipeline, decide batch versus streaming, add data quality checks, handle late or duplicate data, or work out why a dashboard's numbers changed without anyone changing the dashboard.

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 engineering

Pipelines are production systems whose failures are quiet. A broken service pages someone; a broken
pipeline produces plausible numbers that people act on for a week.

This is movement and transformation. Schema and semantics belong to `data-analytics:data-modeling`,
policy and stewardship to `data-analytics:data-governance`.

## Land raw, transform downstream

Keep an immutable copy of source data exactly as received. Transformation logic will be wrong at some
point, and raw data is what lets you reprocess rather than re-request from a source that may no
longer have it.

Business logic belongs downstream where it is visible and testable, not buried in ingestion. The
exception is transformation required for privacy — minimization, pseudonymization, dropping fields
you have no basis to hold — which belongs at ingest precisely because raw storage is what the
obligation attaches to. See `legal-risk:privacy-and-data-protection`.

## Idempotence is the property that matters

Every pipeline will be re-run: after a failure, after a fix, after a late-arriving correction. A
re-run that double-counts is worse than a failure, because it produces a wrong answer silently.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cbrock84/headcount/data-engineering@sha256:65d5030a6913e94b

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sdbqgrdqdaobqt2x.svg)](https://markdownregistry.com/a/art_sdbqgrdqdaobqt2x)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 29, 2026 and Sep 16, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260916.e72e404 latest2026-09-16 e72e404 3,757 BA view · diff
git:20260901.07574042026-09-01 0757404 3,418 BA view · diff
git:20260829.24647762026-08-29 2464776 3,030 BA view · diff
git:20260829.3b7c3082026-08-29 3b7c308 3,030 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3757 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

GitHub

cbrock84/headcount · 2,543 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sdbqgrdqdaobqt2x
GET https://markdownregistry.com/api/v1/resolve?ref=cbrock84/headcount/data-engineering
GET https://markdownregistry.com/api/v1/blob/65d5030a6913e94baa73ee733157140c6e52e16c9509bc5316954e4c66161c43

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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Every file in cbrock84/headcount

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