data-quality SKILL.md skillA
data-quality from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add skillmedev/skills/data-quality@git:20261005.bea4ea5Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- skillmedev/skills
- Path
skills/data-quality/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261005.bea4ea5, committed Oct 5, 2026
- First version recorded
- Jul 5, 2026
- Size
- 8,025 bytes
- Repository stars
- 19
- License
- MIT
Designs layered data quality checks across completeness, validity, consistency, uniqueness, timeliness, and accuracy, with severity tiers, freshness SLAs, and anomaly baselines wired into dbt and CI. Use when someone asks "how do I stop bad data reaching dashboards", "set up dbt tests for this model", "our pipeline loaded duplicate rows again", "what data quality checks should this table have", or "how fresh does this source need to be". Do NOT use for detecting distribution drift in ML…
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 Quality Framework Bad data costs most when it is discovered by the consumer - an executive quoting a dashboard built on a half-loaded table, or a model trained on duplicated rows. The costly mistake this skill prevents is the all-or-nothing test suite: either no checks, or hundreds of untiered checks that page someone nightly until they are all silenced. The output is a small, tiered check suite where every failure has a defined severity and action. ## Operating procedure Severity tiering (Step 3) comes before implementation because a check without a defined response is future alert fatigue. ### Step 1: Gather inputs 1. The tables in scope, their primary keys, and who consumes them. Default scope: start with the 3-5 tables feeding the most-viewed dashboards or production models, not the whole warehouse. 2. Load cadence and expected arrival time per source. 3. Business rules that define a valid row (status enums, amount ranges, referential links). 4. Where checks will run: dbt is the default assumption below; the structure ports to any framework. …
Read the whole file at its exact version.
How to install
mdr add skillmedev/skills/data-quality@sha256:199899b7a6dbe3a0The line at the top of this page pins the label git:20261005.bea4ea5, 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_kdb4hxtqaihpshe4)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.bea4ea5 latest | 2026-10-05 | bea4ea5 | 8,025 B | A | view · diff |
| git:20260705.a28c4ce | 2026-07-05 | a28c4ce | 7,991 B | A | view · diff |
| git:20260705.acb5571 | 2026-07-05 | acb5571 | 8,011 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 (8025 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
skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_kdb4hxtqaihpshe4 GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/data-quality GET https://markdownregistry.com/api/v1/blob/199899b7a6dbe3a0ecce0c81559db0e2ce22550c5328ec273ce75e0c68cee397
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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