
Azure AI Content Safety
FreeAnalyze text and images for harmful content.
Free · Opens the source repo
What Azure AI Content Safety does
The Azure AI Content Safety skill provides developers with a robust REST SDK for analyzing both text and images for potentially harmful content. Utilizing customizable blocklists, this skill allows for tailored content moderation that can adapt to specific needs. By integrating this SDK into applications, developers can ensure that user-generated content aligns with safety and community standards, reducing the risk of harmful interactions.
The skill supports a variety of harmful content categories, including hate speech, sexual content, violence, and self-harm. It offers different severity levels for each category, allowing developers to determine the appropriate response based on the severity of the content detected. The API is designed to be straightforward, requiring minimal setup with just a few environment variables and authentication steps, making it accessible for developers of varying skill levels.
In addition to content analysis, the skill features blocklist management capabilities, enabling users to create, update, and delete blocklists as needed. This flexibility allows organizations to maintain control over the terms and phrases that are deemed unacceptable within their specific context. The ability to analyze content against these blocklists ensures that any flagged content can be appropriately handled, whether that means blocking it outright or flagging it for further review.
Overall, this skill is ideal for developers looking to implement content moderation in applications that allow user-generated content. Its easy integration and comprehensive analysis features make it a valuable tool for enhancing user safety and maintaining community standards.
When to use it
Use this skill when building applications that require content moderation, such as social media platforms, forums, or any service that allows user submissions.
When not to use it
This skill may not be suitable for applications that do not require content moderation or where real-time analysis is not critical.
What you can build with it
Moderating User Comments
Implement the skill to analyze comments on a blog or forum, ensuring that harmful language is flagged or blocked.
Image Upload Moderation
Use the skill to analyze images uploaded by users, automatically detecting and handling inappropriate content before it is displayed.
Custom Blocklist for Community Standards
Create a custom blocklist tailored to your community's guidelines, allowing for specific terms to be flagged during content analysis.
How to install Azure AI Content Safety
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/azure-ai-contentsafety-ts --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33Azure AI Content Safety REST SDK for TypeScript
Analyze text and images for harmful content with customizable blocklists.
Installation
npm install @azure-rest/ai-content-safety @azure/identity @azure/core-auth
Environment Variables
CONTENT_SAFETY_ENDPOINT=https://<resource>.cognitiveservices.azure.com
CONTENT_SAFETY_KEY=<api-key>
Authentication
Important: This is a REST client. ContentSafetyClient is a function, not a class.
API Key
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { AzureKeyCredential } from "@azure/core-auth";
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
new AzureKeyCredential(process.env.CONTENT_SAFETY_KEY!)
);
DefaultAzureCredential
import ContentSafetyClient from "@azure-rest/ai-content-safety";
import { DefaultAzureCredential } from "@azure/identity";
const client = ContentSafetyClient(
process.env.CONTENT_SAFETY_ENDPOINT!,
new DefaultAzureCredential()
);
Analyze Text
import ContentSafetyClient, { isUnexpected } from "@azure-rest/ai-content-safety";
const result = await client.path("/text:analyze").post({
body: {
text: "Text content to analyze",
categories: ["Hate", "Sexual", "Violence", "SelfHarm"],
outputType: "FourSeverityLevels" // or "EightSeverityLevels"
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severity ${analysis.severity}`);
}
Analyze Image
Base64 Content
import { readFileSync } from "node:fs";
const imageBuffer = readFileSync("./image.png");
const base64Image = imageBuffer.toString("base64");
const result = await client.path("/image:analyze").post({
body: {
image: { content: base64Image }
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const analysis of result.body.categoriesAnalysis) {
console.log(`${analysis.category}: severity ${analysis.severity}`);
}
Blob URL
const result = await client.path("/image:analyze").post({
body: {
image: { blobUrl: "https://storage.blob.core.windows.net/container/image.png" }
}
});
Blocklist Management
Create Blocklist
const result = await client
.path("/text/blocklists/{blocklistName}", "my-blocklist")
.patch({
contentType: "application/merge-patch+json",
body: {
description: "Custom blocklist for prohibited terms"
}
});
if (isUnexpected(result)) {
throw result.body;
}
console.log(`Created: ${result.body.blocklistName}`);
Add Items to Blocklist
const result = await client
.path("/text/blocklists/{blocklistName}:addOrUpdateBlocklistItems", "my-blocklist")
.post({
body: {
blocklistItems: [
{ text: "prohibited-term-1", description: "First blocked term" },
{ text: "prohibited-term-2", description: "Second blocked term" }
]
}
});
if (isUnexpected(result)) {
throw result.body;
}
for (const item of result.body.blocklistItems ?? []) {
console.log(`Added: ${item.blocklistItemId}`);
}
Analyze with Blocklist
const result = await client.path("/text:analyze").post({
body: {
text: "Text that might contain blocked terms",
blocklistNames: ["my-blocklist"],
haltOnBlocklistHit: false
}
});
if (isUnexpected(result)) {
throw result.body;
}
// Check blocklist matches
if (result.body.blocklistsMatch) {
for (const match of result.body.blocklistsMatch) {
console.log(`Blocked: "${match.blocklistItemText}" from ${match.blocklistName}`);
}
}
List Blocklists
const result = await client.path("/text/blocklists").get();
if (isUnexpected(result)) {
throw result.body;
}
for (const blocklist of result.body.value ?? []) {
console.log(`${blocklist.blocklistName}: ${blocklist.description}`);
}
Delete Blocklist
await client.path("/text/blocklists/{blocklistName}", "my-blocklist").delete();
Harm Categories
| Category | API Term | Description |
|---|---|---|
| Hate and Fairness | Hate | Discriminatory language targeting identity groups |
| Sexual | Sexual | Sexual content, nudity, pornography |
| Violence | Violence | Physical harm, weapons, terrorism |
| Self-Harm | SelfHarm | Self-injury, suicide, eating disorders |
Severity Levels
| Level | Risk | Recommended Action |
|---|---|---|
| 0 | Safe | Allow |
| 2 | Low | Review or allow with warning |
| 4 | Medium | Block or require human review |
| 6 | High | Block immediately |
Output Types:
FourSeverityLevels(default): Returns 0, 2, 4, 6EightSeverityLevels: Returns 0-7
Content Moderation Helper
import ContentSafetyClient, {
isUnexpected,
TextCategoriesAnalysisOutput
} from "@azure-rest/ai-content-safety";
interface ModerationResult {
isAllowed: boolean;
flaggedCategories: string[];
maxSeverity: number;
blocklistMatches: string[];
}
async function moderateContent(
client: ReturnType<typeof ContentSafetyClient>,
text: string,
maxAllowedSeverity = 2,
blocklistNames: string[] = []
): Promise<ModerationResult> {
const result = await client.path("/text:analyze").post({
body: { text, blocklistNames, haltOnBlocklistHit: false }
});
if (isUnexpected(result)) {
throw result.body;
}
const flaggedCategories = result.body.categoriesAnalysis
.filter(c => (c.severity ?? 0) > maxAllowedSeverity)
.map(c => c.category!);
const maxSeverity = Math.max(
...result.body.categoriesAnalysis.map(c => c.severity ?? 0)
);
const blocklistMatches = (result.body.blocklistsMatch ?? [])
.map(m => m.blocklistItemText!);
return {
isAllowed: flaggedCategories.length === 0 && blocklistMatches.length === 0,
flaggedCategories,
maxSeverity,
blocklistMatches
};
}
API Endpoints
| Operation | Method | Path |
|---|---|---|
| Analyze Text | POST | /text:analyze |
| Analyze Image | POST | /image:analyze |
| Create/Update Blocklist | PATCH | /text/blocklists/{blocklistName} |
| List Blocklists | GET | /text/blocklists |
| Delete Blocklist | DELETE | /text/blocklists/{blocklistName} |
| Add Blocklist Items | POST | /text/blocklists/{blocklistName}:addOrUpdateBlocklistItems |
| List Blocklist Items | GET | /text/blocklists/{blocklistName}/blocklistItems |
| Remove Blocklist Items | POST | /text/blocklists/{blocklistName}:removeBlocklistItems |
Key Types
import ContentSafetyClient, {
isUnexpected,
AnalyzeTextParameters,
AnalyzeImageParameters,
TextCategoriesAnalysisOutput,
ImageCategoriesAnalysisOutput,
TextBlocklist,
TextBlocklistItem
} from "@azure-rest/ai-content-safety";
Best Practices
- Always use isUnexpected() - Type guard for error handling
- Set appropriate thresholds - Different categories may need different severity thresholds
- Use blocklists for domain-specific terms - Supplement AI detection with custom rules
- Log moderation decisions - Keep audit trail for compliance
- Handle edge cases - Empty text, very long text, unsupported image formats
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Frequently asked questions about Azure AI Content Safety
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