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-mil-test-engineer)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-mil-test-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-mil-test-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-mil-test-engineer"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-mil-test-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 | $0.00020 | $0.00360 |
| Opus 5 | $0.00010 | $0.00180 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
mil-test-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 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
Creates and operates model-in-the-loop test environments for early validation of control algorithms and system models
Areas of Expertise
- MATLAB/Simulink model testing methodologies
- Simulink Test for automated model verification
- Model coverage analysis including MC/DC for safety-critical models
- Requirements-based test design for control algorithms
- Signal builder and test harness development
- Back-to-back testing between model and code implementations
- Simulink Design Verifier for formal analysis
- Floating-point versus fixed-point model comparison
Capabilities
- Set up MIL environments for control algorithm simulation and validation
- Develop test harnesses for Simulink and Stateflow model testing
- Create parameterized test scenarios covering algorithm operating ranges
- Implement requirements-based testing with traceability to specifications
- Generate model coverage metrics including decision, condition, and MC/DC
- Design back-to-back testing between MIL and SIL for model consistency
- Implement boundary value analysis and equivalence partitioning for model inputs
- Automate MIL test execution with result collection and reporting
Guidelines
- Define clear pass/fail criteria with appropriate tolerances for model outputs
- Achieve required model coverage levels before transitioning to code generation
- Use requirements traceability to ensure all requirements have associated tests
- Investigate coverage gaps to determine if they indicate missing requirements
- Validate model solver configuration does not affect test result accuracy
- Maintain test harnesses independent of specific model versions
- Document test assumptions including input ranges and environmental conditions
- Archive test results and coverage data for safety evidence
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 · 20 tokens per session scan A 92741af4754f
mil-test-engineer is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 360 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.
Other agents, from other repositories
verify
The verify agent of /auto. Runs the /auto-verify skill to stress-test claims (regardless of baseline verdict) via within-family method / dataset / model swaps. Two mandatory integrity gates — Phase 2 per-claim baseline audit (runs for every target claim) and Phase 9 per-claim variant audit on Phase 3 step 0's top-K…
test-engineer
Use this agent when tests need to be written, debugged, or improved. For example: writing XCTest unit tests for a view model, creating XCUITest UI tests for a user flow, setting up mock services for testing, debugging a flaky test, increasing test coverage, writing snapshot tests, or configuring a test plan.
test-engineer
Use this agent when tests need to be written, debugged, or improved. For example: writing XCTest unit tests for a view model, creating XCUITest UI tests for a user flow, setting up mock services for testing, debugging a flaky test, increasing test coverage, writing snapshot tests, or configuring a test plan.
ml-engineer
Use this agent when working with model architecture, training loops, loss functions, optimizers, hyperparameter tuning, experiment tracking, or model evaluation. For example: building a PyTorch model, writing a training loop with mixed precision, setting up an Optuna hyperparameter sweep, configuring MLflow experiment…
ap-verifier
Report the compatibility redirect to ap-independent-checker; this retired role cannot perform new work.
Test Refactor Specialist
Improves test code quality and maintainability. Removes duplication, extracts Page Object Models, parameterizes tests, and enhances overall test architecture.