Borrowing it
Nothing to install: this file belongs to luanmorenommaciel/agentspec. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/luanmorenommaciel/agentspec/main/.claude/commands/data-engineering/lakehouse.mdgit clone --depth 1 https://github.com/luanmorenommaciel/agentspecWrote 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/commands/luanmorenommaciel/agentspec/lakehouse)<a href="https://agentmods.dev/commands/luanmorenommaciel/agentspec/lakehouse"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/lakehouse.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 5.1 | $0.00016 | $0.00352 |
| Opus 5 | $0.00008 | $0.00176 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
lakehouse 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 7d 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
Lakehouse Command
Get guidance on Iceberg, Delta Lake, catalogs, and open table formats
Usage
/lakehouse <description-or-question>
Examples
/lakehouse "Set up Iceberg tables with partition evolution"
/lakehouse "Migrate from Hive to Iceberg on AWS"
/lakehouse "Compare Delta Lake vs Iceberg for our use case"
/lakehouse "Configure Unity Catalog for multi-cloud"
What This Command Does
- Invokes the lakehouse-architect agent
- Analyzes your table format or catalog requirements
- Loads KB patterns from
lakehouseandcloud-platformsdomains - Generates:
- Table DDL with partition strategies
- Catalog configuration (Unity, Polaris, Nessie)
- Migration scripts from legacy formats
- Compaction and maintenance procedures
Agent Delegation
| Agent | Role |
|---|---|
lakehouse-architect |
Primary — Iceberg, Delta, catalog governance |
data-platform-engineer |
Escalation — when infra provisioning is needed |
spark-engineer |
Escalation — when Spark read/write optimization is needed |
KB Domains Used
lakehouse— Iceberg v3, Delta Lake, catalog wars, DuckLakecloud-platforms— platform-specific Iceberg/Delta patternsspark— Spark table format integration
Output
The agent generates table definitions, catalog configs, and operational runbooks for your lakehouse setup.
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.
- 7d ago First seen · 55 lines · 16 tokens per session scan A 2856482f0d74
lakehouse is a command published in the GitHub repository luanmorenommaciel/agentspec (246 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 352 once invoked, about $0.0001 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 2026-09-01.
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