azure-ai-contentsafety-java

azure-ai-contentsafety-java is a skill for Claude Code, Codex from benjaminasterA/antigravity-awesome-skills. It costs 42 tokens per session (1,811 once invoked), scanned A, a copy of azure-ai-contentsafety-java, MIT.

A Java SDK for checking text and images for harmful material and managing lists of blocked terms.

In plain words
What is it for?
Use it to detect categories such as hate, violence, or sexual content and apply custom blocklists.
Why use it?
It helps applications review user content before displaying or processing it, without requiring a moderation system from scratch.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to detect categories such as hate, violence, or sexual content and apply custom blocklists.

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Install with agentmods
npx agentmods add skills/benjaminastera/antigravity-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 benjaminasterA/antigravity-awesome-skills --skill azure-ai-contentsafety-java
Clone the repo
git clone --depth 1 https://github.com/benjaminasterA/antigravity-awesome-skills

Made for: Claude Code, Codex.

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/benjaminastera/antigravity-awesome-skills/azure-ai-contentsafety-java/github.svg)](https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/azure-ai-contentsafety-java)
Your own site
<a href="https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/azure-ai-contentsafety-java"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-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/benjaminastera/antigravity-awesome-skills/azure-ai-contentsafety-java"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-ai-contentsafety-java.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,811 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 91% 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 $0.00042 $0.01811
Opus 5 $0.00021 $0.00905
Sonnet 5 $0.00008 $0.00362
Haiku 4.5 $0.00004 $0.00181

Measured 9d ago against content hash 00358d36ed11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d 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

91% identical to azure-ai-contentsafety-java — 30 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.

skills/azure-ai-contentsafety-java/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 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 · 288 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. 9d ago First seen · 288 lines · 42 tokens per session scan A 00358d36ed11

Subscribe to this mod's changes

azure-ai-contentsafety-java is a skill published in the GitHub repository benjaminasterA/antigravity-awesome-skills (271 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 1,811 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to azure-ai-contentsafety-java, differing in 30 lines, and is treated as a copy.

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