Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install hiyenwong-ai-collection-collection-skills-autonomous-systems-testing-loopgit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-autonomous-systems-testing-loop/SKILL.md--- name: autonomous-systems-testing-loop description: "Autonomous Systems Testing Loop - Self-evolving simulation-based testing framework with adaptive scenario generation, automated test orchestration, and structured telemetry analysis... Activation: autonomous systems testing, simulation-based testing, cyber-physical systems." version: v1.0.0 last_updated: 2026-04-14 source: arXiv:2604.11672v1 --- # Autonomous Systems Testing Loop ## Overview **Source Paper:** [AutonomyLens: A Self-Evolving Simulation-Based Testing Loop for Autonomous Systems](https://arxiv.org/abs/2604.11672v1) **Authors:** Ankit Agrawal, Jithin Garapati, Bohan Zhang **Published:** 2026-04-13 | **Category:** cs.SE ## Description Self-evolving simulation-based testing framework with adaptive scenario generation, automated test orchestration, and structured telemetry analysis ## Core Concepts - adaptive scenario generation - automated test orchestration - telemetry analysis - requirements traceability - failure signature extraction ## Activation Keywords - autonomous systems testing - simulation-based testing - cyber-physical systems - UAV testing - self-evolving test loops - telemetry analysis - 自适应系统测试 ## Methodology ### Problem Statement Software engineering practices for validating autonomous cyber-physical systems (e.g., Uncrewed Aerial Vehicles) remain fragmented across scenario design, simulation execution, and telemetry analysis, limiting traceability between requirements, tests, and evidence. ### Key Contributions 1. **Adaptive Scenario Generation**: Implements adaptive scenario generation to achieve systematic optimization 2. **Automated Test Orchestration**: Leverages automated test orchestration for efficient execution 3. **Telemetry Analysis**: Utilizes telemetry analysis for enhanced performance ## Implementation Workflow ### Step 1: Problem Formulation - Define the system objectives and constraints - Identify key performance indicators - Establish evaluation metrics ### Step 2: Framework Setup - Configure the adaptive scenario generation components - Initialize automated test orchestration parameters - Set up monitoring and telemetry ### Step 3: Execution - Run the optimization loop - Collect performance data - Iterate based on feedback ### Step 4: Validation - Verify solution quality - Compare against baselines - Document lessons learned ## Applications - Systems engineering projects - Distributed system optimization - Autonomous system validation - Multi-agent coordination ## References - **Paper:** https://arxiv.org/abs/2604.11672v1 - **PDF:** https://arxiv.org/pdf/2604.11672v1 - **Authors:** Ankit Agrawal, Jithin Garapati, Bohan Zhang ## Tags systems engineering, cs.SE, adaptive scenario generation, automated test orchestration, telemetry analysis, requirements traceability, failure signature extraction