Skills azure-ai-vision-imageanalysis-py
📦
azure-ai-vision-imageanalysis-py
Content revision r2 Safe ⚙️ External commands🌐 Network access🔑 Env variables
Analyze Images with Azure AI Vision
Manual image inspection limits scale. This skill guides Azure AI Vision workflows for captions, OCR, objects, people, and smart crops.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "azure-ai-vision-imageanalysis-py" from https://skillstore.io/skills/sickn33-azure-ai-vision-imageanalysis-py.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-ai-vision-imageanalysis-py/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "azure-ai-vision-imageanalysis-py". Caption a product image and include confidence.
Expected outcome:
Caption: A red travel mug on a white table. Confidence: 0.94.
Using "azure-ai-vision-imageanalysis-py". Summarize OCR results from a photographed receipt.
Expected outcome:
- Detected line: Northwind Market, confidence 0.98.
- Detected line: Total 24.60, confidence 0.96.
- Each line includes its image location for downstream processing.
Using "azure-ai-vision-imageanalysis-py". Recommend a widescreen thumbnail crop.
Expected outcome:
Suggested 1.78 crop: x 84, y 36, width 1120, height 629.
Security Audit
Safev5 • 7/23/2026 Open versioned report
All 42 static findings are false positives. They match Markdown formatting, Azure placeholders, or documented environment configuration. No malicious intent or prompt injection appears.
1
Files scanned
269
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚙️ External commands (36)
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🌐 Network access (2)
🔑 Env variables (3)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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<iframe src="https://skillstore.io/embed/skills/sickn33-azure-ai-vision-imageanalysis-py.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). azure-ai-vision-imageanalysis-py security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-ai-vision-imageanalysis-py/audits/5BibTeX citation
@techreport{sickn33-sickn33-azure-ai-vision-imageanalysis-py-2026,
author = {sickn33},
title = {azure-ai-vision-imageanalysis-py security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-azure-ai-vision-imageanalysis-py/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "azure-ai-vision-imageanalysis-py security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-azure-ai-vision-imageanalysis-py/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-azure-ai-vision-imageanalysis-py:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
68
Community
91
Spec Compliance
What You Can Build
Build Accessible Image Descriptions
Generate concise captions and confidence values for image accessibility workflows.
Extract Document Text
Read lines, words, confidence values, and polygons from photographed documents.
Prepare Media Thumbnails
Detect content and request crop regions for portrait, standard, and widescreen thumbnails.
Try These Prompts
Create a Basic Caption Example
Show a minimal Python example that captions an image URL with Azure AI Vision and prints the caption confidence.
Extract OCR from a File
Create a Python workflow that reads [IMAGE_PATH], extracts lines and words, and reports confidence values and bounding polygons.
Combine Visual Features
Design an Azure AI Vision request for [IMAGE_URL] using captions, tags, objects, people detection, and smart crops at [ASPECT_RATIOS].
Plan an Async Analysis Pipeline
Design an asynchronous Python pipeline for [VOLUME] images with Entra ID, bounded concurrency, retries, caching, and HttpResponseError handling.
Best Practices
- Request only required visual features to control latency and service cost.
- Prefer Entra ID and keep credentials outside source code.
- Validate inputs, handle HttpResponseError, and cache repeated analyses when appropriate.
Avoid
- Do not hardcode Azure credentials in source files or prompts.
- Do not request every visual feature when the workflow uses only one result type.
- Do not treat captions, detections, or OCR text as guaranteed facts without confidence checks.
Frequently Asked Questions
What authentication methods are covered?
The skill shows Azure API key authentication and Entra ID authentication with DefaultAzureCredential.
Can it analyze local images?
Yes. Read the image as bytes and pass the data to the client analyze method.
Which visual features are demonstrated?
The examples cover captions, dense captions, tags, objects, OCR, people detection, and smart crops.
Does it support asynchronous requests?
Yes. The skill includes the asynchronous ImageAnalysisClient and an awaited image URL request.
What image limits apply?
The documented limits are 20 MB and dimensions from 50 by 50 through 16000 by 16000 pixels.
Does the skill create Azure resources?
No. You must provide an existing Azure AI Vision endpoint, valid credentials, and network access.