eval-runner

Design a custom eval (or remix an existing benchmark) — task spec, dataset plan, scoring rubric, reporting format.

Write up the rationale and findings of an eval into a durable document under docs/.

Provision a new eval-runner workspace (scaffold + optional GitHub repo).

Publish an eval dataset to Hugging Face Hub (or GitHub), with dataset card, content hash, and license.

Publish an eval (definition + results) to GitHub, Hugging Face Space, or a local bundle.

Autonomous evaluation engineering subagent. Use for multi-step eval work — choosing a framework, designing a custom eval, running it across multiple SUTs, writing findings, and publishing. Coordinates the plugin's skills end-to-end.

Design a custom eval from scratch, or remix an existing benchmark. Use when the user wants to define the eval itself — task framing, dataset composition, scoring rubric, and reporting format — rather than simply wiring up a framework. Produces a fully specified eval definition ready to be run.

Provision a new eval-runner workspace on disk. Use when the user wants to start a new evaluation project — scaffolds evals/, datasets/, results/, and docs/ directories, personalises CLAUDE.md, and (by default) creates a GitHub repo.

Publish an eval dataset to Hugging Face Hub (or GitHub as a fallback). Use when the user wants to share the inputs/labels used by an eval — with a dataset card, licensing, splits, and a content hash so downstream runs can verify integrity.

Publish an eval (definition + results) so others can reproduce it. Use when the user wants to share an eval publicly — as a GitHub repo, Hugging Face space, or a standalone writeup. Produces a clean, self-contained bundle with README, task spec, rubric, dataset pointer, and a run report.

Execute an eval defined in the current workspace and capture results with full metadata. Use when the user wants to actually run an eval (one or many SUTs), collect scored outputs under results/, and produce a run manifest so findings are reproducible and comparable over time.