Localized reading guide
azure-ai-contentsafety-pyPurpose, usage and source
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. Triggers: "azure-ai-contentsafety", "ContentSafetyClient", "content moderation", "harmful content", "text analysis", "image analysis".
Source retrieved:
- Source repository
- microsoft/skills
- SKILL.md
.github/plugins/azure-sdk-python/skills/azure-ai-contentsafety-py/SKILL.md- Repository stars
- 3,157
- Repository updated
- 2026-10-31
- Categories
- Cloud
- Last collected
License: MIT
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill does
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. Triggers: "azure-ai-contentsafety", "ContentSafetyClient", "content moderation", "harmful content", "text analysis", "image analysis".
How the upstream workflow works
Authentication & Lifecycle
> 🔑 Two rules apply to every code sample below: > > 1. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change.
Upstream passage · L31 ↗Legacy: API Key (existing keyed deployments)
New code should use DefaultAzureCredential above. Use AzureKeyCredential only if you have an existing keyed deployment that hasn't been migrated to Entra ID yet — for example, regulated environments still completing their Entra rollout. The BlocklistClient accepts the same AzureKeyCredential if you also need to manage blocklists with a key.
Severity Levels
Text analysis returns 4 severity levels (0, 2, 4, 6) by default. For 8 levels (0-7):
Upstream passage · L194 ↗Requirements and setup
pip install azure-ai-contentsafetyLimits and quality checks
Azure AI Content Safety SDK for Python
Detect harmful user-generated and AI-generated content in applications.
Upstream passage · L13 ↗Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
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- Source retrieved
- Source commit
00d66a64919edca5bca2c673373444e36a4b5461- Source SHA-256
a87b5c2b469ddb77776770d12b7a3a1a481c72af6300b6aac96887825df063fb