ai-data-curation-pretraining SKILL.md skillA
ai-data-curation-pretraining from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/ai-data-curation-pretraining@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/ai-data-curation-pretraining/SKILL.md- Versions recorded
- 1
- Latest version
- v1.3, committed Oct 5, 2026
- Size
- 18,724 bytes
- Repository stars
- 101
- License
- MIT
Builds LLM pretraining corpora from Common Crawl: extract, filter, deduplicate, decontaminate, mix, synthesize. Use when curating or ablating a pretraining corpus or data pipeline.
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
# Pretraining Data Curation — Functional Reference Skill Build web-scale and synthetic pretraining corpora, then measure curation choices with controlled ablations. ## When to Use This Skill Activate when the task involves: - Finding existing high-quality datasets for pretraining or fine-tuning before building from scratch (see Dataset Discovery reference) - Sourcing and filtering CommonCrawl WARCs or other web-scale corpora - Implementing or debugging any stage of the curation pipeline above - Designing quality filters (heuristic or classifier-based) - Running MinHash / LSH deduplication or exact-substring dedup - Decontaminating a dataset against evaluation benchmarks - Generating synthetic pretraining data (Cosmopedia, Self-Instruct, Evol-Instruct, Nemotron) - Designing and executing controlled data ablations - Writing datasheets (Gebru et al.) for a curated dataset - Understanding open recipe datasets: FineWeb, Dolma, The Pile, RedPajama, SlimPajama, C4, RefinedWeb, OLMo ## Scope Boundaries This skill covers the corpus side of pretraining — from raw crawl to tokenized shards and ablation measurement. Use linked skills for adjacent concerns: …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/ai-data-curation-pretraining@sha256:047240949a386b1dThe line at the top of this page pins the label v1.3, 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_buoumrhot7dizitr)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 5, 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 (18724 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_buoumrhot7dizitr GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-data-curation-pretraining GET https://markdownregistry.com/api/v1/blob/047240949a386b1d46cbb8b3885485f240bd1a6605300c561e1d39bd21aeaa01
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.