data-pipeline-quality SKILL.md skillA

data-pipeline-quality from hollandkevint/data-product-operator is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hollandkevint/data-product-operator/data-pipeline-quality@v0.1.1

Pins v0.1.1 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/data-pipeline-quality/SKILL.md
Versions recorded
3
Latest version
v0.1.1, committed Nov 3, 2026
First version recorded
Feb 20, 2026
Size
4,501 bytes
Repository stars
5
License
MIT

Automated data quality checks for pipelines. Testing pyramids, dbt test patterns, data contracts, circuit breakers, and monitoring. Use when implementing data quality checks, writing dbt tests, defining data contracts, setting up pipeline validation, building automated quality monitoring, or when someone asks "how do I test my data pipeline?" For quality scoring methodology (the 5-dimension rubric), see data-quality-assessment.

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

## Testing Pyramid for Data

Run tests in this order. Cheapest and fastest first:

| Layer | What It Catches | Examples |
|-------|----------------|---------|
| Schema tests (run first) | Structural failures | Column types, not-null, uniqueness, accepted values |
| Business rule tests | Logic errors | Cross-field validation, referential integrity, range checks |
| Integration tests (run last) | System-level drift | Cross-system reconciliation, end-to-end row counts |

Schema tests are cheap. Run them on every pipeline execution. Business rule tests are mid-tier — run them on staging and production. Integration tests are expensive — run them on a schedule (daily or pre-release).

## dbt Test Patterns

**Generic tests** for reusable checks. Apply across models:

```yaml
models:
  - name: fct_encounters
    columns:
      - name: encounter_id
        tests: [not_null, unique]
      - name: encounter_type
        tests:
          - accepted_values:
              values: ['inpatient', 'outpatient', 'emergency', 'observation']
      - name: patient_id
        tests:
          - relationships:
              to: ref('dim_patient')
              field: patient_id
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hollandkevint/data-product-operator/data-pipeline-quality@sha256:c5cf4507576b6e18

The line at the top of this page pins the label v0.1.1, 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_mbei2rrmpqimdq62.svg)](https://markdownregistry.com/a/art_mbei2rrmpqimdq62)

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

Versions

The registry has recorded 3 versions of this file, between Feb 20, 2026 and Nov 3, 2026, about one every 128 days.

versioncommittedcommitsizeaudit
v0.1.1 latest2026-11-03 2939ae2 4,501 BA view · diff
v0.1.12026-09-11 52ac544 4,511 BA view · diff
v0.1.02026-02-20 b70a111 4,310 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 (4501 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

hollandkevint/data-product-operator · 5 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mbei2rrmpqimdq62
GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/data-pipeline-quality
GET https://markdownregistry.com/api/v1/blob/c5cf4507576b6e18698a977d26ec5af1ae51f74e3ae4167432d132838b72e634

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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