azure-ai-contentsafety-java

azure-ai-contentsafety-java is a skill for Claude Code from STELIORD/agentic-awesome-skills. It costs 21 tokens per session (1,850 once invoked), scanned A, a copy of azure-ai-contentsafety-java, MIT.

A Java SDK for Azure AI Content Safety, a service that checks text or other content for material that may need moderation. It also provides a client for managing custom blocklists.

In plain words
What is it for?
Use it to add content moderation to Java applications and to work with custom lists of blocked terms.
Why use it?
It avoids building the service connection and moderation integration from scratch. It gives Java applications a way to send content to Azure for safety checks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills plugin — 196 skills shipped together

Good fit Use it to add content moderation to Java applications and to work with custom lists of blocked terms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add STELIORD/agentic-awesome-skills --skill azure-ai-contentsafety-java
Clone the repo
git clone --depth 1 https://github.com/STELIORD/agentic-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for azure-ai-contentsafety-java

README.md
[![agentmods](https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java/github.svg)](https://agentmods.dev/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java)
Your own site
<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for azure-ai-contentsafety-java

Your own site · 80×15
<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/azure-ai-contentsafety-java.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,850 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.01850
Opus 5 $0.00010 $0.00925
Sonnet 5 $0.00004 $0.00370
Haiku 4.5 $0.00002 $0.00185

Measured 7d ago against content hash e41fa2e439d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

azure-ai-contentsafety-java scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to azure-ai-contentsafety-java — 35 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentic-awesome-skills-claude/skills/azure-ai-contentsafety-java/SKILL.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure AI Content Safety SDK for Java

Build content moderation applications using the Azure AI Content Safety SDK for Java.

Installation

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-contentsafety</artifactId>
    <version>1.1.0-beta.1</version>
</dependency>

Client Creation

With API Key

import com.azure.ai.contentsafety.ContentSafetyClient;
import com.azure.ai.contentsafety.ContentSafetyClientBuilder;
import com.azure.ai.contentsafety.BlocklistClient;
import com.azure.ai.contentsafety.BlocklistClientBuilder;
import com.azure.core.credential.KeyCredential;

String endpoint = System.getenv("CONTENT_SAFETY_ENDPOINT");
String key = System.getenv("CONTENT_SAFETY_KEY");

ContentSafetyClient contentSafetyClient = new ContentSafetyClientBuilder()
    .credential(new KeyCredential(key))
    .endpoint(endpoint)
    .buildClient();

BlocklistClient blocklistClient = new BlocklistClientBuilder()
    .credential(new KeyCredential(key))
    .endpoint(endpoint)
    .buildClient();

With DefaultAzureCredential

import com.azure.identity.DefaultAzureCredentialBuilder;

ContentSafetyClient client = new ContentSafetyClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .endpoint(endpoint)
    .buildClient();

Key Concepts

Harm Categories

Category Description
Hate Discriminatory language based on identity groups
Sexual Sexual content, relationships, acts
Violence Physical harm, weapons, injury
Self-harm Self-injury, suicide-related content

Severity Levels

  • Text: 0-7 scale (default outputs 0, 2, 4, 6)
  • Image: 0, 2, 4, 6 (trimmed scale)

Core Patterns

Analyze Text

import com.azure.ai.contentsafety.models.*;

AnalyzeTextResult result = contentSafetyClient.analyzeText(
    new AnalyzeTextOptions("This is text to analyze"));

for (TextCategoriesAnalysis category : result.getCategoriesAnalysis()) {
    System.out.printf("Category: %s, Severity: %d%n",
        category.getCategory(),
        category.getSeverity());
}

Read the full file on GitHub · 293 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 293 lines · 21 tokens per session scan A e41fa2e439d7

Subscribe to this mod's changes

azure-ai-contentsafety-java is a skill published in the GitHub repository STELIORD/agentic-awesome-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 1,850 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to azure-ai-contentsafety-java, differing in 35 lines, and is treated as a copy.

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