azure-ai-document-intelligence-ts

azure-ai-document-intelligence-ts is a skill for Claude Code, Codex from benjaminasterA/antigravity-awesome-skills. It costs 45 tokens per session (2,122 once invoked), scanned A, original, MIT.

A TypeScript client for Azure Document Intelligence, a service that reads documents and extracts text, tables, and structured fields. It includes ready-made and custom document models.

In plain words
What is it for?
Use it to process documents and turn their contents into structured data that an application can store or use.
Why use it?
It avoids writing separate parsing logic for invoices, receipts, identity documents, forms, and similar files.

Skill for Claude CodeCodex

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

Good fit Use it to process documents and turn their contents into structured data that an application can store or use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts
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-document-intelligence-ts
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-document-intelligence-ts

README.md
[![agentmods](https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts/github.svg)](https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/azure-ai-document-intelligence-ts)
Your own site
<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.

agentmods 80×15 button for azure-ai-document-intelligence-ts

Your own site · 80×15
<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>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,122 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00045 $0.02122
Opus 5.5 $0.00018 $0.00849
Sonnet 5.5 $0.00009 $0.00424
Haiku 4.5 $0.00005 $0.00212

Measured 1mo ago against content hash 98af40ebb146, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

skills/azure-ai-document-intelligence-ts/SKILL.md · 329 lines

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;

Read the full file on GitHub · 329 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. 1mo ago First seen · 329 lines · 45 tokens per session scan A 98af40ebb146

Subscribe to this mod's changes

azure-ai-document-intelligence-ts is a skill published in the GitHub repository benjaminasterA/antigravity-awesome-skills (429 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 2,122 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

maroto-pdf

Generate PDFs from Go code with the maroto v2 library — install, program skeleton, page config, grid layout, components (text, image, barcode, QR code, signature), tables and testing. Use when writing or extending Go code that builds a PDF (invoices, reports, certificates) with github.com/johnfercher/maroto.

johnfercher/maroto · 76 tokens

shell-python-fallback

Use runshell with embedded Python heredoc as reliable fallback when code execution tools fail.

HKUDS/OpenSpace · 21 tokens

shell-python-heredoc

Execute complex Python code via runshell heredoc when executecodesandbox fails.

HKUDS/OpenSpace · 21 tokens

devexpress-office-file-api-pdf

Build .NET applications with the DevExpress PDF Document API for creating, reading, editing, merging, signing, and extracting content from PDF files programmatically. Use when working with PDF documents, PDF generation, PDF graphics API, interactive PDF forms, digital signatures, PDF/A compliance, text extraction…

DevExpress/agent-skills · 153 tokens

indesign-layout

Uses Adobe InDesign to produce real layout work: documents, pages, text flow, styles, tables, images, master pages, tables of contents and indexes, data merge, and export to PDF, EPUB or a print preset. Use when the user asks to lay out, typeset or format a document, brochure, catalog, magazine, report, book or…

nutriandrea/adobe-indesign-mcp · 132 tokens

contract-analyzer

Extract contract parties, clauses, dates, and model-assessed risks using processdocument. Use when the user supplies contract text, Markdown, or a PDF/image for analysis.

Swih/mistral-mcp · 38 tokens