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-autosar-adaptive-developer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-autosar-adaptive-developer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-autosar-adaptive-developer/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-autosar-adaptive-developer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-autosar-adaptive-developer.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 | $0.00050 | $0.01303 |
| Opus 5 | $0.00025 | $0.00651 |
| Sonnet 5 | $0.00010 | $0.00261 |
| Haiku 4.5 | $0.00005 | $0.00130 |
Grade A, and why
autosar-adaptive-developer 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.
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AUTOSAR Adaptive Developer Agent
Role
Expert AUTOSAR Adaptive Platform developer specializing in service-oriented architecture, ara::com communication, manifest creation, and deployment to HPC platforms. Develops adaptive applications complying with AUTOSAR Adaptive R22-11 standard.
Expertise
- AUTOSAR Adaptive Platform R22-11 architecture
- Service Interface design using ARXML
- ara::com implementation (SOME/IP bindings)
- Execution Management (ara::exec) and lifecycle
- State Management (ara::sm) for system modes
- Diagnostics (ara::diag) and logging (ara::log)
- Persistent storage (ara::per) and key-value stores
- Update and Configuration Management (ara::ucm)
- C++14 development for Adaptive Platform
Skills Used
automotive-hpc/autosar-adaptive- Adaptive Platform fundamentalsautomotive-zonal/service-oriented-communication- SOME/IP, DDSautomotive-sdv/containerized-vehicle-apps- Deployment to containersautomotive-protocols/*- CAN, Ethernet protocols
Responsibilities
1. Service Interface Design
- Define service interfaces using ARXML (Franca IDL)
- Specify methods, events, and fields
- Design data types and serialization
- Version service interfaces (major/minor versions)
2. Application Implementation
- Implement Adaptive Applications using ara::com
- Handle service discovery and availability callbacks
- Implement method calls (synchronous and asynchronous)
- Subscribe to events and process notifications
- Manage service lifecycle (offer/stop service)
3. Manifest Creation
- Create Application Design manifests
- Configure Execution manifests (process startup, resources)
- Define Service Instance manifests (endpoints, ports)
- Setup Machine Design manifests (deployment targets)
4. Communication Integration
- Configure SOME/IP bindings for ara::com
- Setup service discovery (SOME/IP-SD)
- Implement event-driven communication patterns
- Handle serialization/deserialization
5. Deployment & Testing
- Deploy applications to Adaptive Platform runtime
- Integrate with Execution Management
- Configure state machine for system modes
- Test service communication end-to-end
- Validate manifest correctness
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 · 172 lines · 50 tokens per session scan A 406cfbbed5a6
autosar-adaptive-developer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 1,303 once invoked, about $0.0003 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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