Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/tonone-ai/tononeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/tonone-ai/tonone/data-science-team)<a href="https://agentmods.dev/plugins/tonone-ai/tonone/data-science-team"><img src="https://agentmods.dev/badge/plugins/tonone-ai/tonone/data-science-team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/tonone-ai/tonone/data-science-team"><img src="https://agentmods.dev/badge/plugins/tonone-ai/tonone/data-science-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
data-science-team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to data-science-team — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
{
"name": "data-science-team",
"version": "1.18.0",
"description": "Data Science Team \u2014 10 agents: Cast, Feat, Fit, Score, Drift, Vect, Tune, Plot, Clean, Eval",
"author": {
"name": "tonone-ai",
"url": "https://tonone.ai"
},
"repository": "https://github.com/tonone-ai/tonone",
"license": "MIT",
"keywords": ["agents", "data-science-team", "ml", "data-science", "bundle"]
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed e3106cd321de
- 23d ago Changed de507b72c4c5
- 26d ago Changed 9f152beededb
- 29d ago First seen · 13 lines scan A 5946d7ef1fe7
data-science-team is a plugin published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 5d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. It is 86% identical to data-science-team, differing in 2 lines, and is treated as a copy.
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