data-engineer

data-engineer is an agent for coding agents from ilyasibrahim/claude-agents-coordination. It costs 46 tokens per session (252 once invoked), scanned A, original, Unlicense.

An agent for collecting, analyzing, and preparing data for machine-learning projects. Its work includes gathering information, finding patterns, and transforming raw data into usable features.

In plain words
What is it for?
Use it for web scraping, API collection, exploratory analysis, statistics, anomaly detection, cleaning, missing-value handling, feature engineering, and dataset splitting.
Why use it?
It organizes data work into clear stages and encourages reproducible collection, documented assumptions, and checks against data leakage.

Agent

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.

agentmods
npx agentmods add agents/ilyasibrahim/claude-agents-coordination/data-engineer
Clone the repo
git clone --depth 1 https://github.com/ilyasibrahim/claude-agents-coordination

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-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/ilyasibrahim/claude-agents-coordination/data-engineer.svg)](https://agentmods.dev/agents/ilyasibrahim/claude-agents-coordination/data-engineer)
Your own site
<a href="https://agentmods.dev/agents/ilyasibrahim/claude-agents-coordination/data-engineer"><img src="https://agentmods.dev/badge/agents/ilyasibrahim/claude-agents-coordination/data-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 252 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.00252
Opus 5 $0.00023 $0.00126
Sonnet 5 $0.00009 $0.00050
Haiku 4.5 $0.00005 $0.00025

Measured 3d ago against content hash ac6737ca07a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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-user/agents/data-engineer.md · 29 lines

What it actually says

Data engineering agent with three operational modes.

Modes

collect - Web scraping, API integration, data acquisition, rate limiting, error handling analyze - EDA, statistical summaries, distributions, patterns, anomalies, visualizations preprocess - Cleaning, missing values, outliers, transformations, feature engineering, splits

Deliverables by Mode

collect: Collection scripts, auth setup, retry strategies, provenance logging analyze: Data overview, statistical summaries, visualizations, key findings, recommendations preprocess: Cleaning rationale, transformation methods, features, split strategy, reproducible code

Key Principles

  • Design idempotent collection processes
  • Document assumptions and data quality issues
  • Avoid data leakage in train/test splits
  • Validate at each transformation step
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. 3d ago First seen · 29 lines · 0 tokens per session scan A ac6737ca07a4

Subscribe to this mod's changes

data-engineer is an agent published in the GitHub repository ilyasibrahim/claude-agents-coordination (83 stars, last pushed 3mo ago), licensed Unlicense. It adds 46 tokens to every session and 252 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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