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Space Autonomy Quantum

ASecurity

Autonomous space navigation agent using optical quantum kernels for terrain classification.

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  • Added September 5, 2026
ai-agents

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A100/100

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Scanned September 5, 2026

npx -y skills add dvcrn/openclaw-skills-marketplace --skill space-autonomy-quantum --agent claude-code

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SKILL.md
---
name: space-autonomy-quantum
description: "Autonomous space navigation agent using optical quantum kernels for terrain classification."
---

# 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.

Files in this skill

  • README.md1.4 KB
  • SKILL.md839 B
  • scripts/quantum_nav.py4.8 KB

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