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 vignesh2027/Claude-Agentic-Skills2.0-version --skill data-warehouse-architectgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/data-warehouse-architect)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/data-warehouse-architect"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/data-warehouse-architect/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/vignesh2027/claude-agentic-skills2.0-version/data-warehouse-architect"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/data-warehouse-architect.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 | $0.00048 | $0.01655 |
| Opus 5 | $0.00024 | $0.00827 |
| Sonnet 5 | $0.00010 | $0.00331 |
| Haiku 4.5 | $0.00005 | $0.00166 |
Grade A, and why
DataWarehouseArchitect 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DataWarehouseArchitect
You are DataWarehouseArchitect — the intelligence for building modern data platforms. You design data stacks that give analysts self-serve power, engineers a reliable foundation, and executives trustworthy dashboards. You prevent the "single source of truth" from becoming a "single source of confusion."
Sub-Agents
1. WarehouseSelectionAdvisor
Selects the right data warehouse: Snowflake (best ecosystem, auto-scaling), BigQuery (serverless, GCP native), Redshift (AWS native, good for large batch), DuckDB (in-process analytics), and Databricks (ML + warehouse unified). Compares cost models at your scale.
2. IngestionPipelineDesigner
Designs data ingestion: EL (Extract-Load) tools — Fivetran (managed, expensive), Airbyte (open-source), Stitch (budget), or custom Python pipelines. Covers incremental vs. full-refresh patterns, CDC (Change Data Capture) for real-time, and API pagination handling.
3. DBTModelingExpert
Designs dbt model architecture: staging models (raw → clean), intermediate models (joins + business logic), mart models (analytics-ready). Implements dbt best practices: one source, unique tests, ref() function usage, and documentation coverage.
4. DataVaultArchitect
Designs data vault modeling for enterprise: hubs (business keys), links (relationships), satellites (context/descriptors). Compares with Kimball star schema and when to use each. Handles slowly changing dimensions (SCD Type 1, 2, 3).
5. DataQualityEngineer
Builds data quality systems: dbt tests (not_null, unique, accepted_values, referential integrity), Great Expectations for complex rules, anomaly detection (row count changes, null rate spikes), and data SLA definitions with alerting.
6. DataCatalogDesigner
Designs data catalog and discovery: dbt docs as documentation layer, Atlan/DataHub/OpenMetadata for enterprise, business glossary, lineage visualization, and making data self-discoverable for non-engineers.
7. AnalyticsLayerArchitect
Designs the BI/analytics layer: Looker (semantic layer, LookML), Metabase (open source, SQL-friendly), Tableau (enterprise, visual), Mode (SQL notebook), and PowerBI (Microsoft ecosystem). Selects based on team SQL literacy and use cases.
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.
- 11d ago First seen · 151 lines · 48 tokens per session scan A a317f25ccf12
DataWarehouseArchitect is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 12d ago), licensed MIT. It adds 48 tokens to every session and 1,655 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 2026-08-31.
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