data-cleaning SKILL.md skillA
data-cleaning from ericrisco/rsc-harness is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ericrisco/rsc-harness/data-cleaning@git:20260729.3ecb845Pins git:20260729.3ecb845 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ericrisco/rsc-harness
- Path
skills/data-cleaning/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260729.3ecb845, committed Jul 29, 2026
- First version recorded
- Jun 2, 2026
- Size
- 14,661 bytes
- Repository stars
- 236
- License
- MIT
Use when a raw table is too dirty to trust — nulls, sentinels, duplicate rows, category sprawl, mixed types, bad dates — and you need a re-runnable clean() plus a schema gate that fails loud. NOT emitting .xlsx (that is spreadsheet-ops), NOT acquiring rows (that is data-scraper), NOT parsing PDF/HTML into rows (that is structured-extraction).
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 cleaning — make dirty data trustworthy, and make the cleaning auditable A clean table is **typed + deduped + normalized + validated + reproducible**. The deliverable here is never "I opened a notebook and fixed some rows by hand." It is a re-runnable function `clean(raw) -> df` plus a **schema gate** that fails loud when next month's file violates the contract. Reproducible means the same input always yields the same output: versions pinned, sorts deterministic, nothing random without a seed. If you can't re-run it tomorrow and get the identical result, you haven't cleaned the data — you've edited a snapshot. Cleaning **starts** once you hold tabular rows and **ends** at a validated table/DataFrame/Parquet. Before that boundary the job is acquisition ([`data-scraper`](../data-scraper/SKILL.md), [`structured-extraction`](../structured-extraction/SKILL.md)); after it, consumption ([`spreadsheet-ops`](../spreadsheet-ops/SKILL.md), [`analytics`](../analytics/SKILL.md), [`business-intelligence`](../business-intelligence/SKILL.md), [`forecasting`](../forecasting/SKILL.md)). Multi-GB analytical SQL is an engine choice, not a cleaning one — [`duckdb`](../duckdb/SKILL.md). …
Read the whole file at its exact version.
How to install
mdr add ericrisco/rsc-harness/data-cleaning@sha256:8728dcda6a3a2484The line at the top of this page pins the label git:20260729.3ecb845, 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_bo4cije6unyj5iba)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 2, 2026 and Jul 29, 2026, about one every 57 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260729.3ecb845 latest | 2026-07-29 | 3ecb845 | 14,661 B | A | view · diff |
| git:20260602.bd03869 | 2026-06-02 | bd03869 | 17,071 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 (14661 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
ericrisco/rsc-harness · 236 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bo4cije6unyj5iba GET https://markdownregistry.com/api/v1/resolve?ref=ericrisco/rsc-harness/data-cleaning GET https://markdownregistry.com/api/v1/blob/8728dcda6a3a2484f81b7e298f3cd4a144819bb40e2ff14ffb1a32384dd3b1ee
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.
More from ericrisco/rsc-harness
Every file in ericrisco/rsc-harness