D455相机数据采集工具
v1.0.0Intel RealSense D455 箱体点云数据采集工具。用于采集箱体的 RGB 彩色图和深度图数据集，支持手动/自动采集模式。触发场景：(1) 采集箱体/物体点云数据 (2) 创建深度学习训练数据集 (3) Bin Picking 项目数据准备 (4) 相机标定数据采集。支持 Intel RealSens...
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byRobot_Qu@qujingyang28
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the provided scripts and docs: collect_v2.py captures RGB and depth frames from an Intel RealSense D455, saves raw files and metadata, and process_data.py demonstrates simple processing. No unrelated capabilities (cloud, remote APIs, or extra service credentials) are requested.
Instruction Scope
SKILL.md instructs running the included scripts and installing pyrealsense2/opencv-python/numpy — that aligns with the purpose. The instructions and code only read/write local files and the camera device. Note: the scripts use a hardcoded Windows path (C:\Users\Administrator\.openclaw\workspace\box_dataset) and call os.startfile(), so they assume a Windows environment and will create files under an Administrator-profile path unless you edit the BASE_DIR.
Install Mechanism
No install spec; dependency installation is via pip (recommended in SKILL.md). No downloaded archives, no external installers, and no execution of remote code beyond installing standard Python packages.
Credentials
The skill requests no environment variables or credentials, which is proportionate. The only notable environmental assumption is the hardcoded BASE_DIR under an Administrator Windows home; this is not a secret access request but may be inappropriate for non-Administrator or non-Windows systems and could cause permission or path issues.
Persistence & Privilege
always is false and the skill does not request elevated or persistent platform privileges. It writes data only to its own dataset directory and does not modify other skill configs or global system settings.
Assessment
This skill appears coherent and local-only: it captures RGB/D frames from a RealSense D455 and saves them for processing. Before running, verify you are on Windows with a connected D455 and have installed pyrealsense2, opencv-python, and numpy. Review and (preferably) change the BASE_DIR constant in scripts/collect_v2.py to a directory appropriate for your user (it currently targets C:\Users\Administrator\.openclaw\workspace\box_dataset). Expect files to be written there and the folder to be opened automatically (os.startfile). There are no network calls or credential requests in the code, so the primary risks are accidental overwriting of files, permission errors on non-Administrator accounts, and the usual safety considerations when running third-party scripts locally.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.