Home / vasilyu1983 / ai-agents-public · frameworks/shared-skills/skills/ai-data-curation-pretraining/SKILL.md · GitHub

ai-data-curation-pretraining skillA

ai-data-curation-pretraining is agent-read markdown (skill) from vasilyu1983/ai-agents-public: Builds and audits LLM pretraining corpora: extraction, filtering, dedup, decontamination, data mixing, synthetic data. Use when curating or ablating a pretraining data pipeline..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Pretraining Data Curation — Functional Reference Skill

**Domain**: Building web-scale and synthetic pretraining corpora, running controlled data ablations. Distinct from applications-layer retrieval (RAG) and general data engineering.

No theory. No generic pipeline intros. Focus on stage-by-stage decisions, heuristic thresholds, tooling choices, and ablation protocol.

## ASCII Flow

```text
CommonCrawl WARCs
  |
  v
[Extract]  trafilatura / datatrove HTMLExtractor
  raw text + metadata (URL, timestamp, content-type)
  |
  v
[Language ID]  fastText lid.176.bin
  keep target language(s), threshold ≥ 0.65
  |
  v
[Quality Filter — Heuristic]  Gopher / C4 rules
  symbol-to-word ratio, fraction lines ending ellipsis,
  stopword density, word count bounds, mean word length
  |
  v
[Quality Filter — Classifier]  FineWeb-Edu edu-score / custom
  trained on human labels; outperforms heuristics on recall
  |
  v
[Near-Dedup]  MinHash + LSH banding (datasketch)
  n-gram shingles -> MinHash signature -> band partitioning
  |
  v
[Exact-Substring Dedup]  suffix-array substring match
  remove exact repeated sequences across documents
  |
  v
…

Read the whole file at its exact version.

How to install

Latest version
mdr add vasilyu1983/ai-agents-public/ai-data-curation-pretraining@v1.1
Exact content
mdr add vasilyu1983/ai-agents-public/ai-data-curation-pretraining@sha256:df9c657050038ca6

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7o2lcluihyvgi7ec.svg)](https://markdownregistry.com/a/art_7o2lcluihyvgi7ec)

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Versions

versioncommittedcommitsizeaudit
v1.1 latest2026-09-23 8dc5de4 19,686 BA view · diff
v1.12026-09-02 3d5bc7c 19,087 BA view · diff
v1.12026-08-09 da9d28f 18,724 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (19686 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

vasilyu1983/ai-agents-public · 88 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7o2lcluihyvgi7ec
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-data-curation-pretraining
GET https://markdownregistry.com/api/v1/blob/df9c657050038ca6ea27c352e789de97d259fadace28b2dfa3d2af39262af2c9

Your agent 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.

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