Azure Ai Contentsafety Java
CheckedHelps with Azure, AI, Java as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudedjale/skillset --skill azure-ai-contentsafety-java -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudedjale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 3 files, 940 lines
About this skill
What it does
This skill integrates the Azure AI Content Safety Java SDK, enabling agents to detect and filter potentially harmful or inappropriate text. It analyzes text input for various categories like hate speech, profanity, sexual content, self-harm, and violence, providing scores indicating the likelihood of each category being present. This allows for proactive moderation and safer user experiences within applications.
When to use it
- Content Moderation: Automatically filter user-generated comments on a forum or social media platform.
- Chatbot Safety: Ensure chatbot responses remain appropriate and avoid generating offensive content.
- Code Generation Safeguards: Analyze generated code for potentially harmful commands or vulnerabilities.
- Review Workflow Integration: Flag documents or text requiring human review based on Content Safety scores.
Key capabilities
- Text analysis for hate speech, profanity, sexual content, self-harm, and violence.
- Provides category-specific safety scores.
- Integration with Azure AI Content Safety Java SDK.
Example prompts
- "Analyze this text: 'This is a test sentence.'"
- "What's the hate speech score for this comment: '...'?"
- "Filter out any content containing profanity from this user input."
Tips & gotchas
- Requires an Azure AI Content Safety resource and API key to function.
- Scores are probabilistic; consider setting appropriate thresholds based on your application's risk tolerance.