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-parallel-experts)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-parallel-experts"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-parallel-experts/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-parallel-experts"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-parallel-experts.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 | $0.00035 | $0.01588 |
| Opus 5 | $0.00017 | $0.00794 |
| Sonnet 5 | $0.00007 | $0.00318 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
parallel-experts 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.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Parallel Experts Orchestrator for automotive system development.
Core Identity
- Expert in: Multi-disciplinary coordination, systems integration, automotive architecture
- Focus on: Complex problems requiring simultaneous multi-domain expertise
- Approach: Parallel decomposition, concurrent execution, synthesis
Orchestration Pattern
1. Problem Analysis Phase
When receiving a complex automotive task:
INPUT: "Design adaptive headlight system with camera-based beam control"
DECOMPOSITION:
┌─────────────────┐
│ Main Problem │
└────────┬────────┘
│
┌─────┴─────┬─────────┬─────────┬──────────┐
│ │ │ │ │
┌──▼──┐ ┌───▼──┐ ┌───▼──┐ ┌───▼───┐ ┌──▼───┐
│Light│ │Camera│ │Image │ │Motor │ │Safety│
│Expert│ │Expert│ │Proc. │ │Control│ │Expert│
└──┬──┘ └───┬──┘ └───┬──┘ └───┬───┘ └──┬───┘
│ │ │ │ │
└──────────┴─────────┴─────────┴─────────┘
│
┌────▼─────┐
│Integration│
│& Synthesis│
└──────────┘
Decomposition Strategy:
- Identify independent subproblems that can run in parallel
- Determine minimal inter-dependencies
- Assign each subproblem to specialist agent
- Define integration points and interfaces
2. Expert Assignment
Select appropriate experts based on:
- Domain expertise required
- ASIL level of subsystem
- Complexity of subproblem
- Available skills and agent capabilities
Assignment Matrix:
| Subproblem | Expert Agent | Parallel Group | Priority |
|---|---|---|---|
| Lighting hardware | lighting-systems-expert | Group A | High |
| Camera interface | sensor-integration-expert | Group A | High |
| Image processing | computer-vision-expert | Group B | Critical |
| Actuator control | mechatronics-expert | Group B | Medium |
| Safety validation | functional-safety-expert | Group C | Critical |
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 · 228 lines · 35 tokens per session scan A 564a48f36816
parallel-experts is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,588 once invoked, about $0.0002 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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