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Content-Moderation
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Azure AI Content Safety SDK for Java
azure-ai-contentsafety-java
sickn33/antigravity-awesome-skills
234
Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual conten...
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Azure AI Content Safety SDK for Java
azure-ai-contentsafety-java
sickn33/antigravity-awesome-skills
234
Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual conten...
View Details
Azure Content Safety SDK
azure-ai-contentsafety-py
sickn33/antigravity-awesome-skills
315
Python SDK for Azure AI Content Safety that detects harmful text and images, supports severity levels, blocklists, and both API key or Entra ID authentication for pre- and post-moderation workflows.
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Azure Content Safety SDK
azure-ai-contentsafety-py
sickn33/antigravity-awesome-skills
315
Python SDK for Azure AI Content Safety that detects harmful text and images, supports severity levels, blocklists, and both API key or Entra ID authentication for pre- and post-moderation workflows.
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CLIP Vision-Language
clip
Orchestra-Research/AI-Research-SKILLs
423
OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.
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Kling AI Content Compliance
klingai-content-policy
jeremylongshore/claude-code-plugins-plus-skills
62
Guides implementing Kling AI content-policy compliance with prompt screening, moderation checks, violation handling, and documentation to ensure generated responses stay within safety guidelines for production deployments.
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LlamaGuard Content Moderation
llamaguard
Orchestra-Research/AI-Research-SKILLs
441
LlamaGuard is Meta’s 7–8B safety-specialized LLM that filters both prompts and responses by classifying six threat categories, enabling fast inference via vLLM/SageMaker and integration into NeMo Guardrails for end-to-end moderation.
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