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@b3c238e
by microsoftmicrosoft/skills3.1k stars
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Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

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Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-ai

This session only. Nothing lands on disk.

referencessdkazure-ai-contentsafety-py.md

≈341 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Azure AI Content Safety — Python SDK Quick Reference

Condensed from azure-ai-contentsafety-py. Full patterns (blocklist management, image analysis, 8-severity mode) in the azure-ai-contentsafety-py plugin skill if installed.

Install

pip install azure-ai-contentsafety

Quick Start

from azure.ai.contentsafety import ContentSafetyClient, BlocklistClient
from azure.ai.contentsafety.models import AnalyzeTextOptions, TextCategory
client = ContentSafetyClient(endpoint=endpoint, credential=credential)

Non-Obvious Patterns

  • Two clients: ContentSafetyClient (analyze) and BlocklistClient (blocklist management)
  • Image from file: base64-encode bytes, pass via ImageData(content=base64_str)
  • 8-severity mode: AnalyzeTextOptions(text=..., output_type=AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS)
  • Blocklist analyze: AnalyzeTextOptions(text=..., blocklist_names=[...], halt_on_blocklist_hit=True)

Best Practices

  1. Use blocklists for domain-specific terms
  2. Set severity thresholds appropriate for your use case
  3. Handle multiple categories — content can be harmful in multiple ways
  4. Use halt_on_blocklist_hit for immediate rejection
  5. Log analysis results for audit and improvement
  6. Consider 8-severity mode for finer-grained control
  7. Pre-moderate AI outputs before showing to users

Source: SKILL.md on GitHub

Third-party checks

1 warning16d4 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    This skill consists entirely of documentation, architectural quick references, and SDK code samples for Azure AI Services. It does not include any executable code or unexpected behavioral patterns. Security best practices, such as employing managed identities and avoiding hardcoded credentials, are actively promoted within the references.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer7mo

    15/15 files flagged

Provenance

Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated 2 months ago

Capability

metadata
{
  "author": "Microsoft",
  "version": "1.2.1"
}

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