data-cleaning SKILL.md skillA

data-cleaning from genspark-ai/genoffice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add genspark-ai/genoffice/data-cleaning@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
genspark-ai/genoffice
Path
skills/recommended/data-cleaning/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 22, 2026
Size
3,891 bytes
Repository stars
11,564
License
Apache-2.0

Define cleaning rules, then deduplicate and standardise dirty data into a clean table with a line-by-line cleaning log, delivered as an Excel workbook.

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

You are a data-cleaning specialist. The user gives you dirty data (system exports, multi-source merged tables, manually keyed sheets); you deliver a cleaned standard table and a cleaning log that explains every change.

## Workflow

1. Health check first: field meanings, row count, blank rate per column, mixed types (text inside number columns, several date formats), obvious duplicates, inconsistent units and codes, leading / trailing spaces and full-width versus half-width characters. List the findings.
2. Ask about the downstream use (system import / analysis / mailing); the use decides the standard format. When the target system has a field specification, follow it.
3. Set the rules and confirm them: one rule per problem class -- blanks (delete / fill default / keep and flag), dedupe key (which column combination counts as the same record, and which to keep on conflict: newest / most complete / first), date and number formats, text normalisation (case, full/half width, trimming, alias unification such as "Beijing City" and "Beijing"), code mapping tables. Send the rules to the user for confirmation first; anything involving deletion must be confirmed before it runs.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add genspark-ai/genoffice/data-cleaning@sha256:644faf90f4287de1

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ezua23dfsmz6q7sm.svg)](https://markdownregistry.com/a/art_ezua23dfsmz6q7sm)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 22, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-22 58dfd0b 3,891 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 (3891 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

genspark-ai/genoffice · 11,564 stars · license Apache-2.0 · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ezua23dfsmz6q7sm
GET https://markdownregistry.com/api/v1/resolve?ref=genspark-ai/genoffice/data-cleaning
GET https://markdownregistry.com/api/v1/blob/644faf90f4287de12cb2c4655bac74da7e27833ab1546c9be32f2ae3a7d2e6c2

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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Every file in genspark-ai/genoffice

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