Compétences azure-ai-contentsafety-java
📩

azure-ai-contentsafety-java

SĂ»r 🔑 Variables d’environnement🌐 AccĂšs rĂ©seau

Build content moderation apps with Azure AI

Moderate harmful content automatically in your applications. Azure AI Content Safety SDK for Java detects hate speech, violence, sexual content, and self-harm with configurable severity thresholds.

Prend en charge: Claude Codex Code(CC)
đŸ„‰ 74 Bronze
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Tester

Utilisation de "azure-ai-contentsafety-java". Analyze user comment for hate speech and violence

RĂ©sultat attendu:

Hate: Severity 2 (low confidence), Violence: Severity 0 (not detected). Content passes moderation threshold.

Utilisation de "azure-ai-contentsafety-java". Check image for adult content

RĂ©sultat attendu:

Sexual category detected at Severity 6. Recommendation: Block content per policy threshold of 4.

Utilisation de "azure-ai-contentsafety-java". Validate message against custom blocklist

RĂ©sultat attendu:

Blocklist hit detected: Item ID abc123 matched term variant. Content blocked per haltOnBlocklistHit setting.

Audit de sécurité

Sûr
v1 ‱ 2/24/2026

Static analyzer produced false positives due to misinterpreting Markdown documentation. All 33 external_commands findings are Java code examples in Markdown fences, not shell execution. Network findings are example URLs for configuration. Environment variable access is standard Azure SDK pattern. No actual security issues detected.

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Fichiers analysés
288
Lignes analysées
2
résultats
1
Total des audits

Facteurs de risque

🔑 Variables d’environnement (1)
SKILL.md:34-35
🌐 AccĂšs rĂ©seau (2)
SKILL.md:148 SKILL.md:264-265
Audité par: claude

Score de qualité

38
Architecture
100
Maintenabilité
87
Contenu
50
Communauté
100
Sécurité
91
Conformité aux spécifications

Ce que vous pouvez construire

Social Platform Moderation

Automatically screen user-generated posts and comments for harmful content before publication. Configure severity thresholds to match community guidelines.

Customer Support Filtering

Detect abusive messages in support tickets and chat systems. Route flagged content to human reviewers while allowing legitimate messages through.

Marketplace Content Review

Scan product listings, reviews, and images for policy violations. Maintain custom blocklists for brand-specific prohibited terms.

Essayez ces prompts

Basic Text Analysis 
Analyze this text for harmful content using Azure AI Content Safety: [paste text]. Return severity scores for each category.
Configured Category Analysis 
Analyze [text] for hate and violence categories only. Use 8 severity levels output. Stop if blocklist hit occurs.
Image Moderation from URL 
Check the image at [URL] for harmful content. Report categories with severity >= 4. Format results as a moderation decision.
Blocklist Management Workflow 
Create a blocklist named [name] with description [desc]. Add these terms: [terms]. Then analyze [text] against this blocklist with halt on hit enabled.

Bonnes pratiques

  • Read Azure SDK documentation for authentication and client configuration before implementation
  • Set severity thresholds based on your risk tolerance - severity 4+ is typical for strict moderation
  • Allow 5 minutes for blocklist changes to propagate before testing new entries
  • Cache analysis results for repeated content to reduce API calls and latency

Éviter

  • Hardcoding credentials instead of using environment variables or DefaultAzureCredential
  • Requesting all harm categories when only specific ones are needed - increases latency and cost
  • Blocking severity 0 content - this creates false positives for borderline cases
  • Synchronous API calls in high-throughput scenarios - use async patterns for batch processing

Foire aux questions

What Azure subscription do I need for Content Safety?
You need an Azure subscription with a Content Safety resource provisioned. Free tier includes 5,000 transactions per month for testing.
How do I authenticate the SDK?
Use either API key authentication with KeyCredential or Azure AD authentication with DefaultAzureCredential for production environments.
Can I customize harm detection thresholds?
Yes, set outputType to 8 severity levels and apply your own threshold filtering. The SDK returns numeric severity scores you can evaluate.
How quickly do blocklist updates take effect?
Blocklist changes typically propagate within 5 minutes. Plan accordingly when adding newly discovered problematic terms.
Does the SDK support async operations?
Yes, the Azure SDK supports asynchronous patterns. Use async client methods for non-blocking operations in high-throughput applications.
What image formats are supported?
The API accepts common image formats including PNG, JPEG, and BMP. Images can be provided as binary data or accessible blob URLs.

Détails du développeur

Auteur

sickn33

Licence

MIT

DĂ©pĂŽt

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-contentsafety-java

RĂ©f

main

Structure de fichiers

📄 SKILL.md