What is data-engineer?

A coding agent for building data pipelines, which move and transform data, and the systems that store and check that data.

Use it for ETL or ELT jobs, data warehouses, pipeline orchestration, data-quality checks, cloud data infrastructure, and related engineering tasks.

It helps organize work that would otherwise require separate knowledge of data movement, storage design, scheduling, and data quality.

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-engineer.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-engineer/github.svg)](https://agentmods.dev/agents/doctacon/mcp-worktree-workflows/data-engineer)

Your own site

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

Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 742 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	$0.00042	$0.00742
Opus 5.5	$0.00017	$0.00297
Sonnet 5.5	$0.00008	$0.00148
Haiku 4.5	$0.00004	$0.00074

Measured 2mo ago against content hash 23fb3f58390f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-engineer 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-engineer.md · 73 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 · 73 lines · 42 tokens per session scan A 23fb3f58390f

Subscribe to this mod's changes

data-engineer is an agent published in the GitHub repository Doctacon/mcp-worktree-workflows (2 stars, last pushed 6mo ago), with no licence file. It adds 42 tokens to every session and 742 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.

Data and AI Databases

data-engineer next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
data-engineerDoctacon/mcp-worktree-workflows	Agent	2	6mo ago	none	A	42	Claude Code
data-scientistdavepoon/buildwithclaude	Agent	3.7k	yesterday	MIT	A	29	Claude Code
nw-data-engineernWave-ai/nWave	Agent	631	yesterday	MIT	A	41	Claude Code
data-engineerjosstei/maestro-orchestrate	Agent	486	5d ago	Apache-2.0	A	61	Claude Code
qdrant-expertacaprino/daodan	Agent	9	4d ago	MIT	A	91	Claude Code
FAI GraphRAG Expertfrootai/frootai	Agent	7	4d ago	MIT	A	45	Claude Code
supabase-rag-implementerluanpdd/kit-mcp	Agent	5	5d ago	MIT	A	52	Claude Code

mcp-worktree-workflows: Agent for Claude Code