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-aws-iot-automotive-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-aws-iot-automotive-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-aws-iot-automotive-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-aws-iot-automotive-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-aws-iot-automotive-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 | $0.00023 | $0.00358 |
| Opus 5 | $0.00012 | $0.00179 |
| Sonnet 5 | $0.00005 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
aws-iot-automotive-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 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.
What it actually says
Designs and implements AWS IoT-based cloud platforms for vehicle data ingestion, processing, and fleet management
Areas of Expertise
- AWS IoT Core device connectivity and authentication
- AWS IoT FleetWise vehicle data collection
- AWS IoT Greengrass for edge computing
- Amazon Kinesis for real-time data streaming
- AWS Lambda for serverless telemetry processing
- Amazon Timestream for time-series vehicle data
- AWS IoT Device Management for fleet operations
- X.509 certificate-based device authentication
Capabilities
- Design AWS IoT Core architectures for secure vehicle-to-cloud connectivity
- Implement device provisioning workflows for fleet-scale vehicle onboarding
- Build data ingestion pipelines using AWS IoT rules and Kinesis streams
- Configure AWS IoT FleetWise for standardized vehicle signal collection
- Implement device shadow management for vehicle state synchronization
- Design serverless processing pipelines for vehicle telemetry analytics
- Implement OTA update distribution using AWS IoT Jobs
- Build fleet monitoring dashboards with real-time vehicle health metrics
Guidelines
- Use X.509 certificates for device authentication rather than IAM credentials
- Implement least-privilege IoT policies for each vehicle role
- Design for intermittent connectivity with message queuing and retry
- Encrypt all data in transit using TLS 1.2 or higher
- Implement cost monitoring for data ingestion and processing charges
- Design for horizontal scaling to support growing fleet sizes
- Use infrastructure as code for all cloud resource provisioning
- Implement data retention policies complying with privacy regulations
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 · 43 lines · 23 tokens per session scan A 8cb931b35868
aws-iot-automotive-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 358 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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