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 benjaminasterA/antigravity-awesome-skills --skill azure-ai-document-intelligence-tsgit clone --depth 1 https://github.com/benjaminasterA/antigravity-awesome-skillsWrote 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/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts)<a href="https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-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/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.02122 |
| Opus 5 | $0.00023 | $0.01061 |
| Sonnet 5 | $0.00009 | $0.00424 |
| Haiku 4.5 | $0.00005 | $0.00212 |
Grade A, and why
azure-ai-document-intelligence-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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Document Intelligence REST SDK for TypeScript
Extract text, tables, and structured data from documents using prebuilt and custom models.
Installation
npm install @azure-rest/ai-document-intelligence @azure/identity
Environment Variables
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com
DOCUMENT_INTELLIGENCE_API_KEY=<api-key>
Authentication
Important: This is a REST client. DocumentIntelligence is a function, not a class.
DefaultAzureCredential
import DocumentIntelligence from "@azure-rest/ai-document-intelligence";
import { DefaultAzureCredential } from "@azure/identity";
const client = DocumentIntelligence(
process.env.DOCUMENT_INTELLIGENCE_ENDPOINT!,
new DefaultAzureCredential()
);
API Key
import DocumentIntelligence from "@azure-rest/ai-document-intelligence";
const client = DocumentIntelligence(
process.env.DOCUMENT_INTELLIGENCE_ENDPOINT!,
{ key: process.env.DOCUMENT_INTELLIGENCE_API_KEY! }
);
Analyze Document (URL)
import DocumentIntelligence, {
isUnexpected,
getLongRunningPoller,
AnalyzeOperationOutput
} from "@azure-rest/ai-document-intelligence";
const initialResponse = await client
.path("/documentModels/{modelId}:analyze", "prebuilt-layout")
.post({
contentType: "application/json",
body: {
urlSource: "https://example.com/document.pdf"
},
queryParameters: { locale: "en-US" }
});
if (isUnexpected(initialResponse)) {
throw initialResponse.body.error;
}
const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;
console.log("Pages:", result.analyzeResult?.pages?.length);
console.log("Tables:", result.analyzeResult?.tables?.length);
Analyze Document (Local File)
import { readFile } from "node:fs/promises";
const fileBuffer = await readFile("./document.pdf");
const base64Source = fileBuffer.toString("base64");
const initialResponse = await client
.path("/documentModels/{modelId}:analyze", "prebuilt-invoice")
.post({
contentType: "application/json",
body: { base64Source }
});
if (isUnexpected(initialResponse)) {
throw initialResponse.body.error;
}
const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;
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.
- 8d ago First seen · 329 lines · 45 tokens per session scan A 98af40ebb146
azure-ai-document-intelligence-ts is a skill published in the GitHub repository benjaminasterA/antigravity-awesome-skills (264 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 2,122 once invoked, about $0.0002 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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