eval-dataset SKILL.md skillA

eval-dataset from galileo-agent-labs/eval-engineer is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add galileo-agent-labs/eval-engineer/eval-dataset@git:20260526.b859e18

Pins git:20260526.b859e18 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
galileo-agent-labs/eval-engineer
Path
skills/eval-dataset/SKILL.md
Versions recorded
2
Latest version
git:20260526.b859e18, committed May 26, 2026
First version recorded
May 19, 2026
Size
2,802 bytes
Repository stars
43
License
MIT

Use when the user asks to turn a failure into an eval, create/review/accept/reject dataset cases, or convert Galileo traces, metric gaps, or production examples into cases.

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

# Eval Dataset

Use this skill to build durable eval cases from evidence. Its job is dataset
quality control, not diagnosis or app fixing.

## Required Reference

Use `skills/eval-engineer/references/eval-datasets.md` for the canonical case
schema precedence, optional review metadata, promotion rules, bootstrap
guidance for different use cases, and Galileo SDK dataset usage.

## Required Inputs

Start from at least one evidence source:

- `.galileo/current/debug-packet.json`
- `.galileo/current/diagnosis.md`
- Galileo trace, session, experiment, or log-stream IDs
- production symptom with enough context to define expected behavior

If there is no concrete failure, regression, policy requirement, or metric gap,
ask for evidence before writing a case.

## Do

- Write new unreviewed cases to `.galileo/eval-dataset/candidates.jsonl`
  unless the user asks to accept or reject a case.
- When accepting or rejecting cases, update `.galileo/eval-dataset/changelog.md`.
- Bootstrap datasets by use case: RAG, tool-calling agent, multi-turn,
  workflow, safety/compliance, and tokenomics.
- Choose failure triggers that should be caught by named Galileo metrics or
  explicit local gates.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add galileo-agent-labs/eval-engineer/eval-dataset@sha256:9ced085623e07381

The line at the top of this page pins the label git:20260526.b859e18, 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_vce3cwv64edm6f4f.svg)](https://markdownregistry.com/a/art_vce3cwv64edm6f4f)

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

Versions

The registry has recorded 2 versions of this file, between May 19, 2026 and May 26, 2026, about one every 7 days.

versioncommittedcommitsizeaudit
git:20260526.b859e18 latest2026-05-26 b859e18 2,802 BA view · diff
git:20260519.1170f592026-05-19 1170f59 2,274 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 (2802 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

galileo-agent-labs/eval-engineer · 43 stars · license MIT · pushed 2026-08-12 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vce3cwv64edm6f4f
GET https://markdownregistry.com/api/v1/resolve?ref=galileo-agent-labs/eval-engineer/eval-dataset
GET https://markdownregistry.com/api/v1/blob/9ced085623e07381628c30d57d5cb3a1ef51aaf7a0f08152d7c2b236a44286ef

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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