azure-ai-textanalytics-py
Analyze Text with Azure AI Language
Building reliable NLP workflows requires correct SDK setup and operation selection. This skill provides practical Python patterns for Azure AI Language text analysis.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "azure-ai-textanalytics-py" from https://skillstore.io/skills/sickn33-azure-ai-textanalytics-py.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-ai-textanalytics-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-textanalytics-py". Analyze two product reviews for sentiment and opinion targets.
Expected outcome:
- Review one: positive sentiment; battery life is positive.
- Review two: negative sentiment; delivery speed is negative.
Using "azure-ai-textanalytics-py". Extract entities and key phrases from an Azure product announcement.
Expected outcome:
- Organizations: Microsoft.
- Products: Azure AI.
- Key phrases: product announcement, language service, developer tools.
Using "azure-ai-textanalytics-py". Detect and redact personal information in a support message.
Expected outcome:
The result contains redacted text plus PII categories. Original sensitive values are omitted from the displayed output.
Security Audit
Medium RiskAll 40 static findings are false positives caused by Markdown syntax, Python imports, expected Azure configuration, or key-related property names. One semantic issue remains: the PII example prints raw detected values, which could expose personal data in terminals or logs.
Confirmed security concerns (1)
Risk Factors
โก Contains scripts (1)
โ๏ธ External commands (33)
๐ Network access (1)
๐ Env variables (3)
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APA citation
sickn33. (2026). azure-ai-textanalytics-py security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-ai-textanalytics-py/audits/5BibTeX citation
@techreport{sickn33-sickn33-azure-ai-textanalytics-py-2026,
author = {sickn33},
title = {azure-ai-textanalytics-py security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-azure-ai-textanalytics-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-textanalytics-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-textanalytics-py/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-azure-ai-textanalytics-py:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Review Customer Feedback
Classify sentiment and extract opinion targets from support messages or survey comments.
Enrich Document Pipelines
Add entity recognition, language detection, and key phrases to Python data processing workflows.
Prototype Clinical Text Analysis
Identify healthcare entities and normalized medical concepts in controlled, compliant test data.
Try These Prompts
Show me how to create an Azure TextAnalyticsClient in Python with DefaultAzureCredential and an endpoint environment variable.
Create a Python example that analyzes these feedback messages for sentiment and opinion targets: [messages]. Handle document errors safely.
Design a Python flow that detects PII in [documents]. Return redacted text and categories without printing original sensitive values.
Design an asynchronous Python pipeline for [document source]. Combine sentiment, entities, and key phrases with batching, retries, throttling, and per-document errors.
Best Practices
- Use DefaultAzureCredential when managed identity is available.
- Batch documents and handle errors for each result independently.
- Log redacted text and metadata instead of original PII or healthcare content.
Avoid
- Do not hardcode Azure keys or commit them to source control.
- Do not print raw PII, healthcare text, or authentication values.
- Do not assume every batch result succeeded or returned the same result type.
Frequently Asked Questions
Which Azure service does this skill use?
Can I authenticate without an API key?
Does the skill support asynchronous requests?
Can it detect and redact PII?
Does it provide medical advice?
What must I validate before production use?
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-textanalytics-pyRef
f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
Maintenance freshness
7/26/2026
Usage
5 downloads ยท 100 views
File structure
๐ SKILL.md