space-autonomy-quantum
// Autonomous space navigation agent using optical quantum kernels for terrain classification.
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namespace-autonomy-quantum
descriptionAutonomous space navigation agent using optical quantum kernels for terrain classification.
authortempguest
version0.1.0
licenseMIT
Space Autonomy Quantum Skill
This skill simulates an autonomous agent for space exploration that uses Optical Quantum Kernels to classify terrain. It emphasizes highest safety by implementing strict confidence thresholds. If the quantum classifier is uncertain, the agent triggers a failsafe "SAFE MODE".
Features
- Quantum Perception: Uses simulated optical quantum interference to recognize terrain features.
- Safety Failsafe: Automatically halts if classification confidence is below 0.8.
- Autonomous Decision Making: Decides to "Navigate" or "Avoid" based on quantum kernel results.
Commands
navigate: Process a sensor reading and decide on an action.