azure-ai-translation-document-py
Translate Azure Documents with Python
Batch document translation requires correct Azure Blob Storage URLs, credentials, formats, and job tracking. This skill provides Python SDK patterns for jobs, single documents, status checks, glossaries, and async clients.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "azure-ai-translation-document-py" from https://skillstore.io/skills/sickn33-azure-ai-translation-document-py.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-ai-translation-document-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
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Test it
Using "azure-ai-translation-document-py". Translate a folder of contracts from English to Spanish and French.
Expected outcome:
A Python workflow outline that defines source and target containers, starts a batch job, and monitors completion.
Using "azure-ai-translation-document-py". Check why a translated document failed.
Expected outcome:
A troubleshooting checklist covering operation status, document status, Azure errors, permissions, formats, and SAS token scope.
Using "azure-ai-translation-document-py". Use a glossary for product terms during translation.
Expected outcome:
Guidance for storing a CSV glossary in Blob Storage and attaching it to the translation target.
Security Audit
SafeThe static findings are false positives caused by Markdown code fences, Azure placeholder URLs, and standard SDK configuration examples. No prompt injection, covert exfiltration, or unauthorized command execution was found in SKILL.md.
Risk Factors
⚙️ External commands (28)
🌐 Network access (4)
📁 Filesystem access (1)
🔑 Env variables (5)
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APA citation
sickn33. (2026). azure-ai-translation-document-py security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-ai-translation-document-py/audits/4BibTeX citation
@techreport{sickn33-sickn33-azure-ai-translation-document-py-2026,
author = {sickn33},
title = {azure-ai-translation-document-py security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/sickn33-azure-ai-translation-document-py/audits/4},
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-translation-document-py security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/sickn33-azure-ai-translation-document-py/audits/4"
identifiers:
- type: other
value: "skillstore:sickn33-azure-ai-translation-document-py:audit:4"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Localize Policy Documents
Translate Word, PDF, and PowerPoint files while keeping document formatting intact.
Build Translation Workflows
Add Azure batch translation jobs, status checks, and error handling to Python services.
Prepare Multilingual Data Sets
Translate structured files and apply glossary terms for consistent terminology.
Try These Prompts
Use this skill to draft a Python plan for translating documents from one Azure Blob container into Spanish.
Use this skill to compare API key and Entra ID authentication for an Azure document translation script.
Use this skill to design status checks for a batch translation job and document-level failures.
Use this skill to plan an async Python workflow that translates documents with a glossary and separate target containers.
Best Practices
- Use least-privilege SAS tokens for source and target containers.
- Check supported formats and languages before submitting large jobs.
- Track operation and document status for every production translation job.
Avoid
- Do not hardcode API keys, SAS tokens, or storage URLs in source files.
- Do not reuse one target container for unrelated languages or workflows.
- Do not assume batch jobs succeeded without checking document-level failures.