Overview
- Skill Key
- aadipapp/fsd-secure-skill
- Author
- tempguest
- Source Repo
- openclaw/skills
- Version
- 0.1.0
- Source Path
- skills/aadipapp/fsd-secure-skill
- Latest Commit SHA
- b46f0e5578ca3f123045eb4a4879c9ed9af45551
Full Self-Driving agent with highest safety standards (Camera-Only, Redundant Checks).
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 fsd-secure 技能。 若已安装,则直接安装 fsd-secure 技能。
# FSD Secure Skill This skill implements a **Camera-Only Full Self-Driving** agent designed for maximum safety. It runs in a simulated environment and uses **Dual-Pass Analysis** to verify clear paths. ## Safety Features - **Dual-Pass Verification**: Two independent algorithms must agree the path is clear. - **Temporal Consistency**: Requires 3 consecutive safe frames before acceleration. - **Fail-Safe**: Any uncertainty triggers an immediate Emergency Stop. ## Commands - `drive`: Start the autonomous driving simulation.
# FSD Secure Skill (Camera-Only)
This skill simulates a "Highest Safety" autonomous driving agent that relies solely on visual data from cameras.
## Safety Architecture
1. **Dual-Pass Verification**: Every frame is analyzed by two independent systems:
- **Pass 1**: Deep Neural Network (simulated) for high-level object detection.
- **Pass 2**: Heuristic/Classical CV (simulated) for low-level edge/obstacle verification.
- **Requirement**: Both must verify a clear path.
2. **Temporal Consistency**: The agent will **never** accelerate unless the path has been verified clear for **3 consecutive frames**. This prevents "flickering" false positives.
3. **Strict Confidence**: Neural network confidence must exceed **99%**.
## Usage
Run the simulation:
```bash
python3 scripts/fsd_agent.py
```
The output will show the frame-by-frame analysis and the "Emergency Stop" triggers if any safety check fails.
## Publishing
```bash
clawhub publish
```
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