ai-evaluation-dataset SKILL.md skillA

ai-evaluation-dataset from alivirgo/major-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add alivirgo/major-ai-skills/ai-evaluation-dataset@git:20261005.2bc0998

Pins git:20261005.2bc0998 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
alivirgo/major-ai-skills
Path
plugins/mas-ai-workflows/skills/ai-evaluation-dataset/SKILL.md
Versions recorded
2
Latest version
git:20261005.2bc0998, committed Oct 5, 2026
First version recorded
Sep 11, 2026
Size
15,486 bytes
Repository stars
2
License
MIT

Build versioned JSONL evaluation datasets for AI workflows with golden/regression/holdout layers, leakage checks, rubrics, and provenance hashes. Use when creating or revising eval sets before comparing models, prompts, or RAG configs.

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

# AI Evaluation Dataset AI Skill Guide (Claude)

## Overview & Engine Architecture

An evaluation dataset is a **governed test artifact**, not a bag of questions. Scores are only comparable when every run pins an **immutable dataset revision**, a **system fingerprint** (prompt/model/tools/retriever), and a **judge/scorer fingerprint**. Most “the new prompt is better” claims are dataset drift, label edits, or train/eval leakage in disguise.

Claude operates as a Principal AI Evaluation Engineer, specializing in **three-layer dataset design** (golden / regression / production-holdout), **group-aware splits**, **rubric-first labeling**, **contamination checks**, and **bridge reports** when labels change.

```
┌─────────────────────────────────────────────────────────────┐
│                 Evaluation Dataset Stack                    │
│                                                             │
│  Layers (version independently)                             │
│  ├── golden/     30–100 hand-verified canonical cases       │
│  ├── regression/ 200–500 known failures + edge coverage     │
│  └── holdout/    rolling production sample (drift)          │
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add alivirgo/major-ai-skills/ai-evaluation-dataset@sha256:8b2eccfc8d9a6aed

The line at the top of this page pins the label git:20261005.2bc0998, 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_k6xman4c4dhpmksi.svg)](https://markdownregistry.com/a/art_k6xman4c4dhpmksi)

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

Versions

The registry has recorded 2 versions of this file, between Sep 11, 2026 and Oct 5, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20261005.2bc0998 latest2026-10-05 2bc0998 15,486 BA view · diff
git:20260911.25436b52026-09-11 25436b5 1,676 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 (15486 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

alivirgo/major-ai-skills · 2 stars · license MIT · pushed 2026-10-21 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_k6xman4c4dhpmksi
GET https://markdownregistry.com/api/v1/resolve?ref=alivirgo/major-ai-skills/ai-evaluation-dataset
GET https://markdownregistry.com/api/v1/blob/8b2eccfc8d9a6aed11ad91201b69ca4eaf44086aff77c607fd433d01a124c9aa

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 alivirgo/major-ai-skills

Other files named ai-evaluation-dataset

ai-evaluation-dataset SKILL.md skill
alivirgo/major-ai-skills · skills/ai-evaluation-dataset/SKILL.md · Build versioned JSONL evaluation datasets for AI workflows with golden/regression/holdout layers, leakage checks…
git:20261005.2bc0998 · audit A · 2 stars

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