azure-ai-contentunderstanding-py

azure-ai-contentunderstanding-py is a skill for Claude Code, Codex from satnamrsm/https-github.com-sickn33-antigravity-awesome-skills. It costs 32 tokens per session (1,670 once invoked), scanned A, a copy of azure-ai-contentunderstanding-py, MIT.

A Python library for Azure Content Understanding, a service that extracts meaningful, structured information from documents, images, audio, and video. It can prepare document content for RAG, a method that lets an AI answer using supplied source material.

In plain words
What is it for?
Use it to analyse documents, images, recordings, and videos, extract semantic content, and prepare document text for retrieval-based AI applications.
Why use it?
It avoids building separate extraction pipelines for different media types. It provides analysed content that automated workflows and AI search applications can process.

Skill for Claude CodeCodex

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

Part of the antigravity-awesome-skills plugin — 198 skills shipped together

Good fit Use it to analyse documents, images, recordings, and videos, extract semantic content, and prepare document text for retrieval-based AI applications.

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Install with agentmods
npx agentmods add skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-contentunderstanding-py
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 satnamrsm/https-github.com-sickn33-antigravity-awesome-skills --skill azure-ai-contentunderstanding-py
Clone the repo
git clone --depth 1 https://github.com/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills

Made for: Claude Code, Codex.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 198 skills.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-contentunderstanding-py"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/azure-ai-contentunderstanding-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,670 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 $0.00032 $0.01670
Opus 5 $0.00016 $0.00835
Sonnet 5 $0.00006 $0.00334
Haiku 4.5 $0.00003 $0.00167

Measured 7d ago against content hash 57a9ed8febf1, 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-contentunderstanding-py 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

91% identical to azure-ai-contentunderstanding-py — 6 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-contentunderstanding-py/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure AI Content Understanding SDK for Python

Multimodal AI service that extracts semantic content from documents, video, audio, and image files for RAG and automated workflows.

Installation

pip install azure-ai-contentunderstanding

Environment Variables

CONTENTUNDERSTANDING_ENDPOINT=https://<resource>.cognitiveservices.azure.com/

Authentication

import os
from azure.ai.contentunderstanding import ContentUnderstandingClient
from azure.identity import DefaultAzureCredential

endpoint = os.environ["CONTENTUNDERSTANDING_ENDPOINT"]
credential = DefaultAzureCredential()
client = ContentUnderstandingClient(endpoint=endpoint, credential=credential)

Core Workflow

Content Understanding operations are asynchronous long-running operations:

  1. Begin Analysis — Start the analysis operation with begin_analyze() (returns a poller)
  2. Poll for Results — Poll until analysis completes (SDK handles this with .result())
  3. Process Results — Extract structured results from AnalyzeResult.contents

Prebuilt Analyzers

Analyzer Content Type Purpose
prebuilt-documentSearch Documents Extract markdown for RAG applications
prebuilt-imageSearch Images Extract content from images
prebuilt-audioSearch Audio Transcribe audio with timing
prebuilt-videoSearch Video Extract frames, transcripts, summaries
prebuilt-invoice Documents Extract invoice fields

Analyze Document

import os
from azure.ai.contentunderstanding import ContentUnderstandingClient
from azure.ai.contentunderstanding.models import AnalyzeInput
from azure.identity import DefaultAzureCredential

endpoint = os.environ["CONTENTUNDERSTANDING_ENDPOINT"]
client = ContentUnderstandingClient(
    endpoint=endpoint,
    credential=DefaultAzureCredential()
)

# Analyze document from URL
poller = client.begin_analyze(
    analyzer_id="prebuilt-documentSearch",
    inputs=[AnalyzeInput(url="https://example.com/document.pdf")]
)

result = poller.result()

# Access markdown content (contents is a list)
content = result.contents[0]
print(content.markdown)

Read the full file on GitHub · 277 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 · 277 lines · 32 tokens per session scan A 57a9ed8febf1

Subscribe to this mod's changes

azure-ai-contentunderstanding-py is a skill published in the GitHub repository satnamrsm/https-github.com-sickn33-antigravity-awesome-skills (5 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,670 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-contentunderstanding-py, differing in 6 lines, and is treated as a copy.

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