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realsense-d435i

作者 Yifeng Zhan · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install realsense-d435i
功能描述
Intel RealSense D435i 深度相机操作技能。适用:深度照片、3D点云、IMU数据、RGBD视频录制。自动按日期分目录存储。
安全使用建议
This skill appears to do what it says: capture RealSense D435i data to local folders. Before installing or running: ensure you have the RealSense D435i hardware and proper permissions to access /dev/video*; install the listed Python packages and ffmpeg yourself; choose or verify the output path so you don't overwrite important data; note the script calls local utilities (ffmpeg and optionally rs-pointcloud) and will create and then delete temporary frame files. Because it interacts with hardware and writes files, run it on a trusted machine and inspect the script if you want to be certain it meets any additional privacy or retention policies. If you need networked upload or remote control, those features are not present and would require additional, separate code (which would need further review).
功能分析
Type: OpenClaw Skill Name: realsense-d435i Version: 1.0.1 The skill provides legitimate functionality for capturing depth, RGB, IMU, and point cloud data from an Intel RealSense D435i camera. The script `scripts/realsense_capture.py` uses the official `pyrealsense2` SDK and standard libraries (OpenCV, NumPy) to interact with the hardware. It employs `subprocess.run` safely to invoke `ffmpeg` and `rs-pointcloud` for data processing. No indicators of data exfiltration, malicious persistence, or prompt injection were found.
能力评估
Purpose & Capability
Name/description match the included Python script and SKILL.md. Requested dependencies (pyrealsense2, OpenCV, numpy, ffmpeg) and optional utilities (rs-enumerate-devices, rs-pointcloud) are appropriate for interacting with an Intel RealSense D435i and producing photos, point clouds, IMU CSVs, and videos.
Instruction Scope
SKILL.md and the script are narrowly scoped to camera capture and local file output. The runtime instructions and code only access the camera via the RealSense SDK, write files under the chosen output directory, and call local utilities (ffmpeg, rs-pointcloud). There are no instructions to read unrelated system files, environment secrets, or send data to external network endpoints.
Install Mechanism
No automated install step is included (instruction-only install). That lowers risk; users are expected to install Python packages and ffmpeg themselves. Nothing is downloaded from arbitrary URLs or installed silently.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets and operates with local device access only (USB/device nodes).
Persistence & Privilege
Skill is not forced-always and does not attempt to modify other skills or system-wide agent settings. It runs as-invoked and writes only to the user-specified output directories.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install realsense-d435i
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /realsense-d435i 触发
  4. 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
v1.0.1
- Updated the data output directory structure: files are now organized by content type and date (photos, videos, pointcloud, imu) instead of a single date-based directory. - Adjusted the SKILL.md documentation to reflect these directory structure changes for improved data management and clarity. - No code changes; documentation only.
v1.0.0
适用于inter realsense D435i常见功能:RGB图片/视频、RGBD图像/视频、3D点云、imu数据。 (其他型号的realsense相机或许也可以用,但是我没有测试过)
元数据
Slug realsense-d435i
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 2
常见问题

realsense-d435i 是什么?

Intel RealSense D435i 深度相机操作技能。适用:深度照片、3D点云、IMU数据、RGBD视频录制。自动按日期分目录存储。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 123 次。

如何安装 realsense-d435i?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install realsense-d435i」即可一键安装,无需额外配置。

realsense-d435i 是免费的吗?

是的,realsense-d435i 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

realsense-d435i 支持哪些平台?

realsense-d435i 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 realsense-d435i?

由 Yifeng Zhan(@zh1fen)开发并维护,当前版本 v1.0.1。

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