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Materials benchmark datasets starter

Skill ma-compbio-lab/SkillFoundry/skills/materials-science-and-engineering/materials-benchmark-datasets-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.From the repository description

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill materials-benchmark-datasets-starter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.8 KB, 152 tokens by cl100k_base, as published. Nobody here has run it

Materials benchmark datasets Starter

Use this starter when a task lands in the Materials benchmark datasets frontier leaf and the repository has curated resources but no dedicated runtime implementation yet.

What this starter does

  • Summarizes the local resource anchors for the leaf.
  • Emits a machine-readable starter plan with promotion steps.
  • Gives the agent a stable local entry point before a full runtime skill exists.

How to use it

Run python3 skills/materials-science-and-engineering/materials-benchmark-datasets-starter/scripts/run_frontier_starter.py --out scratch/frontier/materials-benchmark-datasets-starter.json.

Then inspect refs.md and examples/resource_context.json to promote the starter into a concrete executable workflow.

What ships with it: 7 files

5.0 KB alongside SKILL.md, 2 of them executable

assets/

examples/

scripts/

tests/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.