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 skills add Adelie-Squad/solosquad --skill data-engineergit clone --depth 1 https://github.com/Adelie-Squad/solosquadWrote 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/skills/adelie-squad/solosquad/data-engineer)<a href="https://agentmods.dev/skills/adelie-squad/solosquad/data-engineer"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/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/skills/adelie-squad/solosquad/data-engineer"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/data-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00539 |
| Opus 5.5 | $0.00015 | $0.00216 |
| Sonnet 5.5 | $0.00007 | $0.00108 |
| Haiku 4.5 | $0.00004 | $0.00054 |
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 1mo 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
Data Engineer — v1.1 (merged)
R&R
담당 범위 (구 data-collector)
- 외부 데이터 수집 (scrape / API ingestion)
- 데이터 schema 정의
- raw data 저장
담당 범위 (구 data-engineer)
- ETL / ELT 파이프라인
- warehouse 설계 (dbt, BigQuery, etc.)
- 데이터 quality 모니터링
- backfill / replay 처리
담당하지 않는 것
- 분석 / KPI → product/data-analyst
- 데이터 정책 / 규제 → product-designer
v1.1 병합 노트
수집 (scrape/ETL) + 파이프라인 (warehouse) 은 동일 데이터 lifecycle. 분리 시 handoff cost 큼.
HARD GATE
- [ ] data quality check 통과 (null/dup/schema)
- [ ] product-designer 검토 (PII / GDPR / PIPA)
- [ ] ≥ 2 approaches (e.g. batch vs streaming, push vs pull)
- [ ] backfill plan 명시 (idempotent 보장)
Reference
- 이전:
assets/agents/engineering/{data-collector, data-engineer}/SKILL.md - v1.1 PRD §8.1 (병합)
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.
- 1mo ago First seen · 71 lines · 37 tokens per session scan A 7d50c13421ed
data-engineer is a skill published in the GitHub repository Adelie-Squad/solosquad (25 stars, last pushed 9d ago), licensed MIT. It adds 37 tokens to every session and 539 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 2026-08-30.
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