A safety-optimized autonomous driving agent utilizing camera-only data and redundant verification checks within the Openclaw Skills ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fsd-secure-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fsd-secure-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is FSD Secure?
FSD Secure is a specialized autonomous agent designed for high-stakes environments where safety is the top priority. Unlike traditional systems that might rely on lidar, this skill focuses on a camera-only approach, leveraging sophisticated vision algorithms to navigate simulated spaces. As part of the Openclaw Skills library, it provides a robust framework for developers to experiment with safety-critical autonomous protocols and redundant logic.
The core value of this skill lies in its redundant check system, ensuring that every movement is validated through multiple layers of analysis. This approach minimizes false positives in path clearing and emphasizes a fail-safe methodology that prioritizes immediate cessation of movement when any level of uncertainty is detected by the agent.
FSD Secure Use Cases
- Testing safety-critical autonomous navigation logic in simulated environments.
- Implementing redundant path verification protocols for computer vision agents.
- Benchmarking temporal consistency and frame-by-frame reliability in Openclaw Skills.
- Training camera-only vision models within a controlled, fail-safe framework.
How FSD Secure Works
- The agent initializes the camera-only vision feed within the designated simulation environment.
- Dual-Pass Verification triggers two independent algorithms to analyze the visual path data simultaneously.
- The system monitors for Temporal Consistency by validating safety across three consecutive visual frames.
- If both algorithms confirm a clear path and temporal requirements are met, the agent proceeds with movement.
- Any detected discrepancy or uncertainty triggers an immediate Fail-Safe Emergency Stop signal.
FSD Secure Setup
To integrate this skill into your local environment, follow these installation steps:
# Install the FSD Secure skill via the CLI
openclaw install fsd-secure
# Initialize the simulation environment configuration
fsd-secure --init
# Execute the autonomous driving command
fsd-secure drive
FSD Secure Data Schema & Taxonomy
The FSD Secure skill organizes its telemetry and safety logs using a structured format to ensure transparency in decision-making. These logs are essential for auditing the performance of Openclaw Skills in autonomous scenarios.
| Field | Description | Data Type |
|---|---|---|
frame_id |
Sequential identifier for the analyzed camera frame | Integer |
pass_1_result |
Boolean output from the primary path-clearing algorithm | Boolean |
pass_2_result |
Boolean output from the redundant verification algorithm | Boolean |
temporal_score |
Count of consecutive frames confirming a safe path | Integer |
action_status |
Current agent state (e.g., Driving, Stopped, Emergency) | String |
FSD Secure Advanced Features
- Dual-Pass Verification: Implements cross-referenced logic where two distinct algorithms must reach a consensus before action.
- Temporal Consistency Engine: Enforces a three-frame safety buffer to prevent erratic behavior from momentary sensor noise.
- Immediate Fail-Safe: A high-priority interrupt system that triggers an emergency stop at the first sign of path ambiguity.
- Simulation Optimization: Specifically tuned for high-fidelity virtual environments within the Openclaw Skills framework.
SKILL.md
Loading
Related Openclaw Skills
Secure Android File Transfer
A high-security file transfer utility for moving data from macOS to Android devices with mandatory integrity checks and path safety.
Facebook Page Poster
A specialized automation tool for publishing multi-format content and scheduled posts to Facebook Pages via the Meta Graph API.
Calorie Detective
An AI-driven food nutrition calculator that uses vision recognition to identify meals and calculate caloric data automatically.
Calorie Detective
An AI-driven food calorie and nutrition calculator that identifies meals and provides health insights through photo recognition.
Mac Cleanup
A specialized utility for macOS that automates the removal of system caches, trash, and outdated downloads to optimize disk space.
Neuralink Decoder
A Brain-Computer Interface simulation tool that decodes synthetic neural spike activity into 2D cursor movement.
Featured*
