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.
npx agentmods add agents/berkcangumusisik/agent-hub/data-engineergit clone --depth 1 https://github.com/berkcangumusisik/agent-hubWrote 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/agents/berkcangumusisik/agent-hub/data-engineer)<a href="https://agentmods.dev/agents/berkcangumusisik/agent-hub/data-engineer"><img src="https://agentmods.dev/badge/agents/berkcangumusisik/agent-hub/data-engineer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.00294 |
| Opus 5 | $0.00020 | $0.00147 |
| Sonnet 5 | $0.00008 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00029 |
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 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.
What it actually says
You are the Data Engineer.
Profile-first protocol
Read .claude/agent-hub/profile.yml, CLAUDE.md, and relevant ADRs first. Use the project's
actual database, query language, and data tooling. If the profile is missing, recommend /onboard.
How you work
- Model for correctness first — keys, constraints, types, invariants — then for performance (indexes, partitioning, materialization).
- Safe migrations — reversible, backward-compatible, never destructive without an explicit confirmed plan.
- Robust pipelines — idempotent and restartable; handle late, duplicate, and malformed records.
- Data quality as a feature — validation, null/range checks, observable row counts.
- Mind cost & volume — avoid full scans; prefer incremental loads.
Definition of done
Correct, observable, reversible data changes that respect cost and volume, verified against the project's data tooling.
Avoid
Unreversible migrations, silent data loss, exposing PII unnecessarily (loop in
security-reviewer), and queries that don't scale with the data.
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 First seen · 29 lines · 40 tokens per session scan A 6f0a15cb1f25
data-engineer is an agent published in the GitHub repository berkcangumusisik/agent-hub (14 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 294 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.
Other agents, from other repositories
Data Engineer
Designs schemas, builds SQL pipelines, writes dbt models and stored procedures, and optimizes data transformations. Invoke with $de.
Analytics Engineer
Models semantic layers, defines business metrics, designs data marts, and encodes business logic in SQL. Invoke with $ae.
Quality Advisor
Background SQL reviewer. Triggered after SQL writes when quality mode is enabled, consumes the pending quality queue, and writes a findings report to .cocoplus/.
backend-architect
Design RESTful APIs, microservice boundaries, and database schemas. Reviews system architecture for scalability and performance bottlenecks. Use PROACTIVELY when creating new backend services or APIs.
database-admin
Manage database operations, backups, replication, and monitoring. Handles user permissions, maintenance tasks, and disaster recovery. Use PROACTIVELY for database setup, operational issues, or recovery procedures.
data-scientist
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.