What is data-scientist?

A specialist agent for machine-learning development, including preparing data, building models, analysing results, and implementing recent research.

Use it to build ML pipelines, engineer features, evaluate models, tune settings, and implement research methods.

It helps with technical decisions and repeatable work across the many stages of an ML project.

How Doctacon/mcp-worktree-workflows configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Doctacon/mcp-worktree-workflows. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Doctacon/mcp-worktree-workflows/main/.claude/agents/data-scientist.md

Clone the repo

git clone --depth 1 https://github.com/Doctacon/mcp-worktree-workflows

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/doctacon/mcp-worktree-workflows/data-scientist/github.svg)](https://agentmods.dev/agents/doctacon/mcp-worktree-workflows/data-scientist)

Your own site

<a href="https://agentmods.dev/agents/doctacon/mcp-worktree-workflows/data-scientist"><img src="https://agentmods.dev/badge/agents/doctacon/mcp-worktree-workflows/data-scientist/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/doctacon/mcp-worktree-workflows/data-scientist"><img src="https://agentmods.dev/badge/agents/doctacon/mcp-worktree-workflows/data-scientist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 890 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00047	$0.00890
Opus 5.5	$0.00019	$0.00356
Sonnet 5.5	$0.00009	$0.00178
Haiku 4.5	$0.00005	$0.00089

Measured 2mo ago against content hash b1a8347dc94c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-scientist 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 2mo 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.

.claude/agents/data-scientist.md · 90 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2mo ago First seen · 90 lines · 47 tokens per session scan A b1a8347dc94c

Subscribe to this mod's changes

data-scientist is an agent published in the GitHub repository Doctacon/mcp-worktree-workflows (2 stars, last pushed 6mo ago), with no licence file. It adds 47 tokens to every session and 890 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Analytics and metrics Data and AI

data-scientist next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
data-scientistDoctacon/mcp-worktree-workflows	Agent	2	6mo ago	none	A	47	Claude Code
Prompt Buildergithub/awesome-copilot	Agent	41k	yesterday	MIT	A	24	Claude Code
fitjeremylongshore/tons-of-skills-marketplace	Agent	2.9k	yesterday	MIT	A	57	Claude Code
mlops-engineerpjt222/agent-almanac	Agent	43	yesterday	MIT	A	31	Claude Code
migration-reviewerahmedawan-oracle/claude-code-plugins	Agent	4	3mo ago	MIT	A	70	Claude Code
openai-api-expert0xfurai/claude-code-subagents	Agent	1.0k	1y ago	MIT	A	23	Claude Code
image-prompt-engineer18771050470/big-genius-skills	Agent	10	2mo ago	none	A	32	Claude Code

mcp-worktree-workflows: Agent for Claude Code