dataset-curation SKILL.md skillA
dataset-curation from fcakyon/labrat is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fcakyon/labrat/dataset-curation@git:20260312.ea277c2Pins git:20260312.ea277c2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fcakyon/labrat
- Path
plugin/skills/dataset-curation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260312.ea277c2, committed Mar 12, 2026
- Size
- 4,127 bytes
- Repository stars
- 452
- License
- MIT
Use when the user wants to analyze dataset bias, create stratified samples, evaluate fairness, or plan dataset collection. Triggers on phrases like "dataset bias", "stratified sample", "class imbalance", "data distribution", "fairness analysis", or "ethical review".
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 Curation Methodology You are helping a researcher curate, analyze, or expand a dataset with attention to bias, fairness, and quality. ## Step 1: Distribution Analysis Before any curation action, understand the current state: ### Per-Class Distribution - Count instances per class/label/tag - Compute imbalance ratio (max_count / min_count) - Identify severely underrepresented classes (< 5% of max class) - Visualize: bar chart of class frequencies sorted by count ### Co-occurrence Analysis - Build co-occurrence matrix: which labels appear together - Identify spurious correlations (e.g., "violence" always co-occurs with "male") - Check for label leakage between splits ### Metadata Distribution - Source diversity: how many sources/movies/documents contribute - Temporal distribution: are all time periods represented? - Content diversity: genre, style, domain coverage ## Step 2: Bias Assessment For each identified imbalance or correlation: 1. **Is it real-world reflective?** Some imbalances reflect genuine phenomena 2. **Is it harmful?** Would a model trained on this data make unfair predictions? 3. **Is it fixable?** Can we collect more data, resample, or reweight? …
Read the whole file at its exact version.
How to install
mdr add fcakyon/labrat/dataset-curation@sha256:82122eb0cb5c37bcThe line at the top of this page pins the label git:20260312.ea277c2, 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_tfp3xxxk4ohtkwc6)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 12, 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 (4127 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
fcakyon/labrat · 452 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tfp3xxxk4ohtkwc6 GET https://markdownregistry.com/api/v1/resolve?ref=fcakyon/labrat/dataset-curation GET https://markdownregistry.com/api/v1/blob/82122eb0cb5c37bcbb0154df0593968afed6f404e99b9d18e997abe2800bad1d
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.