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/birol91/quorum-agentsWrote 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/birol91/quorum-agents/automotive-data-lake-architect)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-data-lake-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-data-lake-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/agents/birol91/quorum-agents/automotive-data-lake-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-data-lake-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 | $0.00021 | $0.00345 |
| Opus 5 | $0.00010 | $0.00172 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
data-lake-architect 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 10d 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
Architects data lake solutions for storing, organizing, and providing access to massive vehicle telemetry datasets
Areas of Expertise
- Delta Lake and Apache Iceberg table formats
- Cloud object storage optimization for large datasets
- Data catalog and metadata management systems
- Apache Spark for data lake processing
- Data governance and access control frameworks
- Schema evolution and data format management
- Cost optimization for cloud data storage
- Data quality frameworks for vehicle telemetry
Capabilities
- Design data lake architectures for petabyte-scale vehicle data storage
- Implement data ingestion pipelines from diverse vehicle telemetry sources
- Create data catalog and metadata management for dataset discoverability
- Design data governance frameworks including access control and lineage
- Implement data quality monitoring and validation pipelines
- Create medallion architecture with bronze, silver, and gold data layers
- Design cost-optimized storage tiers for hot, warm, and cold vehicle data
- Implement data sharing mechanisms for cross-team analytics access
Guidelines
- Implement schema-on-write for critical data and schema-on-read for exploratory data
- Design for data immutability with append-only ingestion patterns
- Implement data lineage tracking for regulatory compliance
- Enforce access controls at both data layer and query layer
- Monitor storage costs and implement lifecycle policies proactively
- Design for schema evolution to accommodate changing vehicle data formats
- Implement data quality checks at ingestion to prevent garbage data accumulation
- Provide self-service access with appropriate guardrails for data consumers
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.
- 10d ago First seen · 43 lines · 21 tokens per session scan A 05622b5d2721
data-lake-architect is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 345 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 2026-08-31.
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