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.
npx skills add Ghosteken/agent-harness --skill azure-ai-contentsafety-tsgit clone --depth 1 https://github.com/Ghosteken/agent-harnessWrote 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.
[](https://agentmods.dev/skills/ghosteken/agent-harness/azure-ai-contentsafety-ts)<a href="https://agentmods.dev/skills/ghosteken/agent-harness/azure-ai-contentsafety-ts"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/azure-ai-contentsafety-ts/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.
<a href="https://agentmods.dev/skills/ghosteken/agent-harness/azure-ai-contentsafety-ts"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/azure-ai-contentsafety-ts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.01918 |
| Opus 5 | $0.00010 | $0.00959 |
| Sonnet 5 | $0.00004 | $0.00384 |
| Haiku 4.5 | $0.00002 | $0.00192 |
Grade A, and why
azure-ai-contentsafety-ts 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- azure-ai-contentsafety-ts — 100% identical, 0 lines differ
- azure-ai-contentsafety-ts — 100% identical, 0 lines differ
- azure-ai-contentsafety-ts — 100% identical, 0 lines differ
- azure-ai-contentsafety-ts — 94% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure 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}`);
}
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.
- 9d ago First seen · 311 lines · 19 tokens per session scan A d5eff753918c
azure-ai-contentsafety-ts is a skill published in the GitHub repository Ghosteken/agent-harness (2 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 1,918 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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