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-fleet-analytics-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-fleet-analytics-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-fleet-analytics-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/agents/birol91/quorum-agents/automotive-fleet-analytics-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-fleet-analytics-engineer.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 | $0.00020 | $0.00328 |
| Opus 5 | $0.00010 | $0.00164 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
fleet-analytics-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 5d 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
Designs and implements analytics platforms transforming vehicle fleet data into actionable operational insights
Areas of Expertise
- Time-series analytics for vehicle telemetry data
- Predictive maintenance modeling and failure prediction
- Geospatial analytics for fleet location and routing
- Statistical process control for fleet quality monitoring
- Real-time streaming analytics with Apache Kafka and Flink
- Data warehouse design for vehicle analytics
- Visualization and dashboard design for fleet operations
- Machine learning for fleet-wide pattern detection
Capabilities
- Design analytics pipelines processing vehicle telemetry data at fleet scale
- Build real-time dashboards for fleet health monitoring and alerting
- Implement predictive maintenance models using fleet-wide failure patterns
- Create geospatial analytics for fleet utilization and routing optimization
- Build anomaly detection systems identifying unusual vehicle behavior patterns
- Implement cohort analysis comparing vehicle populations across configurations
- Design A/B testing frameworks for evaluating software update effectiveness
- Create executive reporting dashboards for fleet operational KPIs
Guidelines
- Aggregate and anonymize vehicle data to protect driver privacy
- Design analytics for low-latency results on fleet-scale datasets
- Validate predictive models against historical ground truth data
- Implement data quality checks before analytics processing
- Design dashboards for actionability, not just information display
- Monitor analytics pipeline latency and data freshness
- Document analytics methodology and model assumptions
- Implement cost-effective data retention balancing analytics needs and storage costs
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.
- 5d ago First seen · 43 lines · 20 tokens per session scan A 8d92f33e2684
fleet-analytics-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 328 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 2026-09-03.
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