技能 azure-ai-contentsafety-java
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azure-ai-contentsafety-java

安全 🔑 環境變數🌐 網路存取

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.

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測試它

正在使用「azure-ai-contentsafety-java」。 Analyze user comment for hate speech and violence

預期結果:

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

正在使用「azure-ai-contentsafety-java」。 Check image for adult content

預期結果:

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

正在使用「azure-ai-contentsafety-java」。 Validate message against custom blocklist

預期結果:

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

安全審計

安全
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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審計總數

風險因素

🔑 環境變數 (1)
SKILL.md:34-35
🌐 網路存取 (2)
SKILL.md:148 SKILL.md:264-265
審計者: claude

品質評分

38
架構
100
可維護性
87
內容
50
社群
100
安全
91
規範符合性

你能建構什麼

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.

試試這些提示

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.

最佳實務

  • 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

避免

  • 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

常見問題

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.

開發者詳情

作者

sickn33

授權

MIT

儲存庫

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

引用

main

檔案結構

📄 SKILL.md