data-quality-auditor SKILL.md skillA
data-quality-auditor from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/data-quality-auditor@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/data-quality-auditor/SKILL.md- Versions recorded
- 6
- Latest version
- v1.1.0, committed Oct 23, 2026
- First version recorded
- May 27, 2026
- Size
- 8,537 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
Audit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting schema drift, monitoring freshness SLAs, or responding to a DQ incident.
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 Auditor End-to-end data quality (DQ) practice: define DQ dimensions, write rule-based checks, detect schema drift, monitor freshness SLAs, respond to DQ incidents, build a maturity-graded program. Tool-agnostic — works whether you use Great Expectations, dbt tests, Soda Core, Monte Carlo, custom SQL, or hand-rolled scripts. This skill is audit-focused, not pipeline-focused. For pipeline design, ETL, Spark/dbt, see `engineering/senior-data-engineer`. ## Core Capabilities - **Six DQ dimensions** — completeness, accuracy, consistency, timeliness/freshness, validity, uniqueness (plus integrity, conformity, reasonableness); at least one check per dimension at production stage. - **DQ check catalog** — five categories (volume, freshness, schema, values, distribution) of ~50 specific check patterns applied per dataset. - **Schema drift detection** — snapshot baseline schemas and diff added/removed/changed columns, types, and ordinals with severity. - **Freshness SLA monitoring** — per-table max-age budgets with alerting-ready output. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/data-quality-auditor@sha256:159262af75f4e72cThe line at the top of this page pins the label v1.1.0, 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_e36c3ci3kbjcpjdz)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 23, 2026, about one every 30 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-10-23 | 2b5180a | 8,537 B | A | view · diff |
| v1.1.0 | 2026-10-23 | cd5632b | 8,434 B | A | view · diff |
| v1.1.0 | 2026-06-22 | 65b93aa | 8,438 B | A | view · diff |
| v1.1.0 | 2026-06-17 | 8980a67 | 7,751 B | A | view · diff |
| v1.0.0 | 2026-06-17 | 0c19211 | 12,660 B | A | view · diff |
| v1.0.0 | 2026-05-27 | f88c315 | 13,029 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 (8537 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
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_e36c3ci3kbjcpjdz GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/data-quality-auditor GET https://markdownregistry.com/api/v1/blob/159262af75f4e72cdf767f9a09d35b0f5786f15457f3b1166b959e0725e53c16
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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