eval
Experiment Design Engineer — Experiment design — A/B testing, statistical power, experiment tracking, causal inference
Plugin bundle · by tonone-ai
About
eval is a plugin bundle for AI coding tools published by tonone-ai. Marketplaces we read that list it: 1 (Community GitHub marketplaces). The last change we recorded was on 2026-11-10. As of our marketplace pass on 2026-11-10.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add tonone-ai/tonone
/plugin install eval@tonone-aiWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace tonone-ai/tonone (Open the source on GitHub) | Listed | 1.20.0 | Forks (GitHub): 11 Stars (GitHub): 77 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| tonone-ai | tonone-ai/tonone | 77 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 3
eval-analyzeeval-designeval-recon
Agents: 1
eval
What changed
- Community GitHub marketplaces: released version 1.20.0 (was 1.19.0)
- Became a product we track
- Community GitHub marketplaces: appeared
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Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
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Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.