Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
$ npx skills add open-compass/VLMEvalKitAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
$ npx skills add open-compass/VLMEvalKitAI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
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$ npx skills add microsoft/AI-For-Beginners🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralyticsDatasets, Transforms and Models specific to Computer Vision
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$ npx skills add autogluon/autogluonHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep MSDNet if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.