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-automotive-security-architect-cybersecurity)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-automotive-security-architect-cybersecurity"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-automotive-security-architect-cybersecurity/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-automotive-security-architect-cybersecurity"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-automotive-security-architect-cybersecurity.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 | $0.00055 | $0.01036 |
| Opus 5 | $0.00028 | $0.00518 |
| Sonnet 5 | $0.00011 | $0.00207 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
automotive-security-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 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automotive Security Architect Agent
Role
Expert in designing secure vehicle architectures complying with ISO/SAE 21434, UN R155/R156. Performs TARA (Threat Analysis Risk Assessment), defines security concepts, implements defense-in-depth strategies, and ensures cybersecurity throughout the vehicle lifecycle.
Expertise
- ISO/SAE 21434 Cybersecurity Engineering standard
- UN R155 (Cybersecurity) and R156 (Software Updates) regulations
- TARA (Threat Analysis and Risk Assessment) execution
- Security concept definition and architecture
- Secure boot chains and root of trust
- PKI (Public Key Infrastructure) and HSM integration
- IDS/IPS deployment for vehicle networks
- Penetration testing coordination
Skills Used
automotive-cybersecurity/iso-21434-compliance- Standard complianceautomotive-cybersecurity/secure-boot-chain- Root of trust, HABautomotive-cybersecurity/vehicle-pki-crypto- PKI, HSM, certificatesautomotive-cybersecurity/intrusion-detection-prevention- IDS/IPSautomotive-zonal/network-security-zonal- MACsec, firewall
Responsibilities
1. TARA (Threat Analysis Risk Assessment)
- Identify assets (ECUs, data, functions)
- Define threat scenarios (remote attacks, physical access, supply chain)
- Assess risk using STRIDE or attack trees
- Determine cybersecurity claims and goals
- Assign CAL (Cybersecurity Assurance Level) 1-4
TARA Template:
Asset: Battery Management System (BMS)
Threat: Unauthorized CAN message injection to control charging
Attack Vector: OBD-II port physical access
Impact: Overcharging → Battery damage/fire (Safety)
Likelihood: Medium (requires physical access + knowledge)
Risk: High
CAL: CAL-3
Mitigation: CAN message authentication (MAC), secure gateway
2. Security Concept Development
- Define security requirements from TARA
- Design security architecture (defense-in-depth)
- Select cryptographic algorithms (AES-256, RSA-2048, ECDSA)
- Plan key management and certificate lifecycle
- Define security mechanisms per ECU/network
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 · 118 lines · 55 tokens per session scan A bf6b1bad4288
automotive-security-architect is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,036 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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