dataset-quality-audit SKILL.md skillA
dataset-quality-audit from zebbern/claude-code-guide is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zebbern/claude-code-guide/dataset-quality-audit@git:20260531.164971dPins git:20260531.164971d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zebbern/claude-code-guide
- Path
skills/dataset-quality-audit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260531.164971d, committed May 31, 2026
- Size
- 4,016 bytes
- Repository stars
- 4,700
- License
- MIT
Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.
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
# dataset-quality-audit A data quality auditing tool that runs 12-dimension quality checks on tabular data, producing per-dimension scores (0–100), an overall grade, and actionable fix suggestions. ## Capabilities | Dimension | Description | |-----------|-------------| | Missing Values | Count and percentage of null/NaN values per column | | Duplicate Rows | Number and percentage of fully duplicated rows | | Type Consistency | Mixed types within a single column (e.g., numbers mixed with text) | | Value Range / Outliers | Outlier detection using the IQR method | | Format Compliance | Consistency of date, email, phone number, and other formatted fields | | Uniqueness Constraints | Whether ID-type columns contain duplicates | | Whitespace Issues | Leading/trailing spaces, empty strings, whitespace-only values | | Constant Columns | Columns with only a single unique value (zero information) | | Distribution Skewness | Whether numeric columns have excessive skewness | | Column Naming | Spaces, special characters, or inconsistent casing in column names | | Cardinality Anomalies | Unusually high or low number of unique values | …
Read the whole file at its exact version.
How to install
mdr add zebbern/claude-code-guide/dataset-quality-audit@sha256:db466ec942664635The line at the top of this page pins the label git:20260531.164971d, 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_iplhprne4n3goewx)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 31, 2026.
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 (4016 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
zebbern/claude-code-guide · 4,700 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iplhprne4n3goewx GET https://markdownregistry.com/api/v1/resolve?ref=zebbern/claude-code-guide/dataset-quality-audit GET https://markdownregistry.com/api/v1/blob/db466ec94266463581043e9ddb970ba4f30de2439cf9ab4d20b0d0485c5dd560
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.