Embodied AI Safety Guardrails

    1

    Deterministic safety validator for LLM-controlled robots, drones, and physical hardware.

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    Embodied AI Safety Guardrails

    Example session with this skill installed

    Validate a drone move command for 50 meters at 10 m/s. The drone has 15% battery and the e-stop is off. Use the standard policy.

    • Read your context and instructions
    • Compiled the embodied ai safety

    The validator has processed the move request against the current drone state and defined safety policy.

    Safety Validation Results

    ComponentValueStatusReason
    ActionmoveALLOWEDAction exists in allowlist
    Parameter: distance_m50DENIEDExceeds max_distance of 20m
    Parameter: speed_mps10DENIEDExceeds max_speed of 5m/s
    Precondition: battery15%DENIEDBelow minimum threshold of 20%
    Precondition: estopfalseALLOWEDEmergency stop is not active
    Final DecisionDENYREJECTEDMultiple safety violations detected
    
# Validation Log Trace
# Command: python scripts/action_validator.py templates/policy.json 
# Proposal: {"action":"move","params":{"distance_m":50,"speed_mps":10}} 
# State: {"estop":false,"battery":15}

# Result: 
{
  "decision": "DENY",
  "exit_code": 1,
  "violations": [
    "distance_m (50) exceeds limit (20)",
    "speed_mps (10) exceeds limit (5)",
    "battery (15) below threshold (20)"
  ]
}

    Next steps

    1. Reduce the distance_m and speed_mps parameters in the agent's tool call.
    2. Trigger a land or return_to_home command as battery is below the safety threshold.
    3. Check templates/policy.json to adjust limits if your hardware supports higher performance.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Layered safety and a tested action validator for robots and drones.

    Architecture and code for letting an LLM agent control a robot, drone or any physical device safely - the model proposes actions, a deterministic validator enforces an allowlist, parameter ranges, rate limits and an emergency stop, and everything is logged. Use when the user connects an AI agent to hardware (robot, drone, smart home, machine), designs tool calls that move things, or asks how to stop an agent from doing something dangerous.

    Includes an EXPERT.md reference (exact parameters, thresholds, failure diagnosis). Tested scripts: scripts/action_validator.py.

    Acceptable use: civil and commercial applications only. Any military, paramilitary or weapon-related use is prohibited, as stated in the skill itself.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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