Annotation Visualizer
v1.0.0Visualize bounding boxes and class labels on images with support for COCO, YOLO, VOC, and LabelMe annotation formats.
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byMingo_318@mingo-318
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 (annotation visualization) matches the files and declared behavior. The included script implements YOLO/COCO/VOC/LabelMe parsing and image drawing, which is appropriate for the stated purpose.
Instruction Scope
SKILL.md instructs running the included script with local image/annotation paths and options. The runtime instructions and the script only read specified image/annotation directories and write output images; they do not request unrelated files, environment variables, or network endpoints.
Install Mechanism
No install spec; SKILL.md suggests installing pillow via pip which is proportional to drawing images. There are no downloads from external URLs or archive extraction steps.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not read environment variables or secret files; requested resources are local image/annotation files as expected.
Persistence & Privilege
The skill is not always-enabled and does not request persistent platform privileges. It does not modify other skills or system-wide configurations.
Assessment
This skill appears coherent and limited to local image/annotation visualization. Before installing or running: 1) review the included script if you want to confirm behavior (it only reads files you point it at and writes output images); 2) run it in a sandbox or with non-sensitive images if you have policy concerns; 3) ensure pillow is installed (pip install pillow) and that input paths are correct. Minor notes: the script swallows some exceptions silently and defaults class names/IDs in simple ways, so check output for correctness on your datasets.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.