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data-science

data-science is a plugin for Claude Code from MonumentalSystems/Atlas-Agent-Teams. Its manifest loads nothing; the 4 skills, 1 command, 5 agents it bundles cost 213 tokens per session together, scanned A, original, MIT.

A team for data science and machine learning work, including data analysis, model development, and MLOps. MLOps means the practices used to run and maintain machine-learning systems.

In plain words
What is it for?
Use it for data analysis, machine-learning model development, and the operational work needed to manage machine-learning systems.
Why use it?
It brings related data and machine-learning work under one team instead of treating analysis, model building, and operations as unrelated tasks.

Plugin for Claude Code

not rated 21 23d ago A scan tokens not measured original MIT
View the source file MonumentalSystems/Atlas-Agent-Teams
Install

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.

Claude Code
/plugin marketplace add MonumentalSystems/Atlas-Agent-Teams
agentmods
npx agentmods add plugins/monumentalsystems/atlas-agent-teams/data-science
Clone the repo
git clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-Teams

Made for: Claude Code.

Wrote 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.

agentmods badge for data-science

README.md
[![agentmods](https://agentmods.dev/badge/plugins/monumentalsystems/atlas-agent-teams/data-science.svg)](https://agentmods.dev/plugins/monumentalsystems/atlas-agent-teams/data-science)
Your own site
<a href="https://agentmods.dev/plugins/monumentalsystems/atlas-agent-teams/data-science"><img src="https://agentmods.dev/badge/plugins/monumentalsystems/atlas-agent-teams/data-science.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 4 skills, 1 command, 5 agents cost 213 tokens a session between them.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

data-science 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.

teams/data-science/.claude-plugin/plugin.json · 8 lines

What it actually says

{
    "description":  "Data science and machine learning team for data analysis, ML model development, and MLOps",
    "name":  "data-science",
    "author":  {
                   "name":  "atlas-agents"
               }
}
Contents

What it installs

The manifest is a name and a version. 4 skills, 1 command, 5 agents travel with it, and installing the plugin installs all of them — 213 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Changes

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.

  1. 4d ago First seen · 8 lines scan A ad318dcb3438

Subscribe to this mod's changes

data-science is a plugin published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 23d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AIScientific
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