data-quality SKILL.md skillA
data-quality from ssameer20/data-analyst-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ssameer20/data-analyst-toolkit/data-quality@git:20261103.646dff1Pins git:20261103.646dff1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ssameer20/data-analyst-toolkit
- Path
skills/data-quality/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261103.646dff1, committed Nov 3, 2026
- First version recorded
- Nov 3, 2026
- Size
- 2,304 bytes
- Repository stars
- 2
- License
- MIT
Use when auditing data quality, defining validation rules, measuring defects, prioritizing data issues, or recommending remediation.
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 Create evidence-based data-quality assessments that make defects measurable, explain their impact, and identify practical next actions. ## Workflow 1. Clarify the dataset's grain, critical fields, business definitions, expected ranges and relationships, and the decision or report at risk. 2. Check for duplicate business keys, referential-integrity failures, missing critical values, invalid ranges or formats, inconsistent mappings, invalid dates, cross-field contradictions, and reconciliation differences. 3. For each rule, state its definition, affected fields, and business impact. Provide validation logic in the requested tool or SQL dialect. 4. Quantify affected rows and rates when data is available. State the denominator and treatment of nulls; never invent counts or results. 5. Prioritize by business impact, scope, reporting risk, and fix feasibility. Clearly label root-cause explanations as hypotheses. 6. Recommend a specific fix and owner/action. Separate safe normalization from decisions that require business approval. ## Report format …
Read the whole file at its exact version.
How to install
mdr add ssameer20/data-analyst-toolkit/data-quality@sha256:56d1612518aed824The line at the top of this page pins the label git:20261103.646dff1, 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_qoeq4knvg4o3v6ep)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Nov 3, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261103.646dff1 latest | 2026-11-03 | 646dff1 | 2,304 B | A | view · diff |
| git:20261103.1f68b76 | 2026-11-03 | 1f68b76 | 1,812 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 (2304 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
ssameer20/data-analyst-toolkit · 2 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qoeq4knvg4o3v6ep GET https://markdownregistry.com/api/v1/resolve?ref=ssameer20/data-analyst-toolkit/data-quality GET https://markdownregistry.com/api/v1/blob/56d1612518aed824154804f38e314d48c7621f0319f4fc7700782a59c41da9b0
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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