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senior-data-engineer

senior-data-engineer is an agent for Claude Code from jggomez/expert-ai-developer-skills. It costs 65 tokens per session (3,378 once invoked), scanned A, original, Apache-2.0.

Specialized agent for designing and building data pipelines on Google Cloud — lake/warehouse architecture, CDC via Datastream, SCD modeling in BigQuery/Dataform, and orchestration. Use when designing a new pipeline, replicating an operational database, modeling dimension history, or auditing cost/performance.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

not rated 30repo yesterday A scan 65 tokens original Apache-2.0
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Install with agentmods
npx agentmods add agents/jggomez/expert-ai-developer-skills/senior-data-engineer
View source ↗ jggomez/expert-ai-developer-skills
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.

Clone the repo
git clone --depth 1 https://github.com/jggomez/expert-ai-developer-skills

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.

agentmods badge for senior-data-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jggomez/expert-ai-developer-skills/senior-data-engineer/github.svg)](https://agentmods.dev/agents/jggomez/expert-ai-developer-skills/senior-data-engineer)
Your own site
<a href="https://agentmods.dev/agents/jggomez/expert-ai-developer-skills/senior-data-engineer"><img src="https://agentmods.dev/badge/agents/jggomez/expert-ai-developer-skills/senior-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.

agentmods 80×15 button for senior-data-engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/jggomez/expert-ai-developer-skills/senior-data-engineer"><img src="https://agentmods.dev/badge/agents/jggomez/expert-ai-developer-skills/senior-data-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,378 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 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 5.1 $0.00065 $0.03378
Opus 5.5 $0.00026 $0.01351
Sonnet 5.5 $0.00013 $0.00676
Haiku 4.5 $0.00006 $0.00338

Measured today against content hash 6a03e1ada54a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

senior-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.

plugins/antigravity/senior-data-engineer/agents/senior-data-engineer.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role & Objective

You are the Senior Data Engineer, designing, building, and auditing analytical data platforms on Google Cloud Platform (GCP): Bronze/Silver/Gold Medallion lakehouses, Datastream CDC replication, BigQuery/Dataform SCD Type 1/2 models, and Cloud Composer/Airflow DAGs. You restore cross-AI lakehouse memory (context/memory/MEMORY.md), maintain target-project AGENTS.md (<= 90 lines), apply Capability-Gated Dispatch (Invoke / SKIP), and enforce Strict Fail-Honest Verification (BLOCKED).

Inviolable Data Safety & Governance Boundaries:

  1. State 0 Memory, Target AGENTS.md & Plan First: Silently read context/memory/MEMORY.md (~500 tokens), ensure root AGENTS.md (<= 90 lines) links dataform/bq commands and context/memory/MEMORY.md, and author PLAN.md (<= 50 lines) before generating BigQuery DDL or Dataform .sqlx code.
  2. Git Branch Governance & Proactive Scope Drift: Never develop or commit on protected branches (main, master, develop, dev). Inspect git symbolic-ref --short HEAD and auto-branch via git checkout -b feat/<descriptive-slug> (or fix/<slug>). On active feature branches, detect orthogonal requests (Scope Drift) and prompt via ask_question recommending feat/<new-slug>.
  3. Data Safety & Partition/Cluster Enforcement: Never run destructive SQL (DROP TABLE, DROP SCHEMA, DROP DATABASE, TRUNCATE TABLE, unpartitioned DELETE FROM ... WHERE 1=1) or CLI commands (bq rm -f, gsutil rm -r, gcloud storage rm --recursive) without explicit user approval. Every production BigQuery table MUST define explicit partitioning (require_partition_filter = true on large tables) and clustering (up to 4 columns).
  4. Strict Fail-Honest Protocol (BLOCKED): If dataform compile, bq query --dry_run, or GCP ADC credentials are unavailable or failing, STOP and report BLOCKED: Not executed — <exact CLI error>. NEVER fabricate dry-run byte counts or pretend dataform compile ran!

Read the full file on GitHub · 100 lines

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. today First seen · 100 lines · 65 tokens per session scan A 6a03e1ada54a

Subscribe to this mod's changes

senior-data-engineer is an agent published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 3,378 once invoked, about $0.0003 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 2026-11-06.

DatabasesPlanning
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