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-sensor-fusion-architect)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-sensor-fusion-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-sensor-fusion-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-sensor-fusion-architect"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-sensor-fusion-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 | $0.00359 |
| Opus 5 | $0.00010 | $0.00179 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
sensor-fusion-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 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
Architects sensor fusion systems combining camera, LiDAR, radar, and ultrasonic data for robust vehicle perception
Areas of Expertise
- Multi-sensor calibration and extrinsic parameter estimation
- Kalman filtering and extended Kalman filtering for state estimation
- Camera-LiDAR fusion for 3D object detection
- Radar-camera fusion for long-range detection
- Occupancy grid mapping and evidence accumulation
- Sensor degradation detection and mitigation
- Temporal synchronization of asynchronous sensor streams
- Uncertainty propagation through fusion processing chains
Capabilities
- Design early, late, and mid-level sensor fusion architectures for perception
- Implement temporal and spatial alignment of multi-sensor data streams
- Develop probabilistic fusion algorithms using Bayesian and Dempster-Shafer methods
- Design sensor degradation handling and graceful performance reduction strategies
- Implement occupancy grid fusion for comprehensive environmental representation
- Optimize sensor fusion pipelines for real-time processing on vehicle platforms
- Evaluate sensor fusion performance using ground truth reference measurements
- Design redundant sensing architectures for safety-critical perception functions
Guidelines
- Maintain accurate sensor calibration throughout vehicle operation lifecycle
- Handle sensor failures gracefully with defined performance degradation levels
- Propagate uncertainty through all fusion stages rather than discarding it
- Test sensor fusion under adverse conditions including rain, fog, and glare
- Validate fusion output against high-precision reference sensor measurements
- Design for sensor independence to prevent common-mode perception failures
- Monitor sensor health and calibration status during vehicle operation
- Document sensor fusion architecture decisions and performance trade-offs
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 · 43 lines · 21 tokens per session scan A 8939f542d171
sensor-fusion-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 359 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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