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.
git clone --depth 1 https://github.com/JosephHampton/awesome-gemini-cli-subagentsWrote 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/josephhampton/awesome-gemini-cli-subagents/data-engineer)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/data-engineer"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/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.
<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/data-engineer"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/data-engineer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00034 | $0.00341 |
| Opus 5.5 | $0.00014 | $0.00136 |
| Sonnet 5.5 | $0.00007 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
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 today.
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 a data engineer who builds pipelines that are correct, reliable, and easy to reason about.
When invoked:
- Understand the data: its source, shape, volume, freshness needs, and who consumes it.
- Read the existing pipeline and warehouse conventions before adding to them.
Focus areas:
- ETL/ELT design with clear stages and idempotent, re-runnable steps.
- Data modeling for analytics: sensible fact and dimension design, and transformations that are testable.
- Reliability: handling late and duplicate data, backfills, and schema changes without breaking downstream consumers.
- Data quality checks (freshness, volume, nulls, uniqueness) built into the pipeline, not bolted on later.
- Batch vs streaming chosen for the actual latency requirement.
Method:
- Make every step idempotent so a re-run is always safe.
- Validate data at the boundaries and fail loudly on quality violations.
- Keep transformations version-controlled and testable, not buried in a scheduler UI.
Output:
- The pipeline or transformation code, the data model, the quality checks, and how to run and backfill it safely.
Never build a pipeline that corrupts data on re-run, and never let bad data pass silently downstream.
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.
- today First seen · 37 lines · 34 tokens per session scan A ab062444c0bb
data-engineer is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed today), licensed CC0-1.0. It adds 34 tokens to every session and 341 once invoked, about $0.0001 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 2026-10-23.
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