Setup & Installation
openclaw skills install @aadipapp/space-autonomy-skill
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install space-autonomy-skill
What This Skill Does
Autonomous space navigation agent that classifies terrain using simulated optical quantum interference. Applies a confidence threshold to determine whether to navigate or avoid a given area. Triggers SAFE MODE automatically when classification confidence falls below 0.8.
Confidence gating is built into the classification loop, so unsafe decisions are blocked automatically without requiring external safety wrappers.
When to use it
- Simulating rover terrain classification on Mars-like surfaces
- Prototyping confidence-gated decision logic for robotic agents
- Testing failsafe mechanisms in autonomous navigation pipelines
- Demonstrating quantum kernel classification in research or education
- Evaluating navigate-or-avoid decision making under uncertainty
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: navigate with sensor data from rocky terrain
AGENT
- 1Receives sensor reading describing terrain features
- 2Runs optical quantum kernel to classify the terrain
- 3Checks classification confidence against the 0.8 threshold
- 4Returns Navigate if confidence is sufficient, Avoid if terrain is risky
- 5Triggers SAFE MODE and halts if confidence falls below 0.8
OUTPUT
Decision: Navigate or Avoid, or SAFE MODE halt with confidence score