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S2 多模态融合与空间预测引擎
作者
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
104
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当前安装
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版本数
在 OpenClaw 中安装
/install s2-multimodal-fusion-predictor
功能描述
Instructs the Embodied AI on how to process incoming multimodal sensor data (LiDAR, Camera, Tactile), avoid visual illusions, and output 1s-60s physical caus...
安全使用建议
This skill appears internally consistent and self-contained. Before installing: (1) verify the execute_multimodal_fusion tool implementation and its permissions (ensure it does not forward sensor data off-device), (2) run the handler in a safe simulation with synthetic sensor inputs to confirm behavior, (3) confirm you are comfortable with the explicit exclusion of PIR sensors (ensure you are not removing required redundancy), and (4) if you need stronger isolation, restrict or audit the plugin's runtime environment to prevent unexpected file or network access even though none is present in the provided files.
功能分析
Type: OpenClaw Skill
Name: s2-multimodal-fusion-predictor
Version: 1.0.0
The skill bundle implements a multimodal sensor fusion engine for embodied AI, designed to resolve physical illusions (e.g., detecting glass or holograms) by cross-validating LiDAR, camera, and tactile data. The Python logic in handler.py is purely computational, and the instructions in SKILL.md are strictly aligned with the stated purpose of physical causal prediction. No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力评估
Purpose & Capability
Name/description match the code and whitepaper: the skill processes LiDAR/camera/tactile inputs, performs spatio-temporal alignment, cross-validates modalities, and emits 1–60s causal predictions. No unrelated services, credentials, or binaries are requested.
Instruction Scope
SKILL.md instructs the agent to call the execute_multimodal_fusion tool with raw sensor arrays and to report structured causal narratives. Instructions do not ask the agent to read arbitrary files, harvest environment variables, or send data to external endpoints.
Install Mechanism
No install spec is provided (instruction-only + an included native handler). The included handler.py is self-contained and does not download or execute external code. No archives or remote URLs are used.
Credentials
The skill requires no environment variables, credentials, or config paths. The declared plugin permissions limit network to localhost and expose only the execute_multimodal_fusion tool; these align with an on-device sensor fusion component.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request forced inclusion or system-wide configuration changes. Autonomous invocation (model invocation enabled) is the platform default but is not combined here with broad privileges or external network access.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install s2-multimodal-fusion-predictor - 安装完成后，直接呼叫该 Skill 的名称或使用
/s2-multimodal-fusion-predictor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
s2-multimodal-fusion-predictor 1.0.0
- Initial release enabling embodied AI to fuse LiDAR, camera, and tactile inputs for robust physical reasoning.
- Implements cross-validation to avoid visual illusions and bans reliance on single or pseudo-sensors (e.g., PIR).
- Provides explicit guidance for temporal causal prediction (1-60s) and requires structured, multimodal output.
- Introduces protocol for resolving sensor conflicts (e.g., vision vs. LiDAR on transparent objects).
- Exposes `execute_multimodal_fusion` tool for raw sensor array processing.
元数据
常见问题
S2 多模态融合与空间预测引擎 是什么？
Instructs the Embodied AI on how to process incoming multimodal sensor data (LiDAR, Camera, Tactile), avoid visual illusions, and output 1s-60s physical caus... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 104 次。
如何安装 S2 多模态融合与空间预测引擎？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install s2-multimodal-fusion-predictor」即可一键安装，无需额外配置。
S2 多模态融合与空间预测引擎 是免费的吗？
是的，S2 多模态融合与空间预测引擎 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
S2 多模态融合与空间预测引擎 支持哪些平台？
S2 多模态融合与空间预测引擎 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 S2 多模态融合与空间预测引擎？
由 MilesXiang（@spacesq）开发并维护，当前版本 v1.0.0。
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