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- text moderation tool
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text moderation tool
Moderate toxic language, detect personal data leaks, and audit domain security configurations via MCP.
Free
text moderation tool
Example session with this skill installed
Audit the following text for toxic language and personal info: 'Contact me at 555-0199, you idiot.'
- Read your context and instructions
- Compiled the text moderation tool
The text contains toxic language (insult) and sensitive personal data (phone number). Moderation check failed. Please remove the offensive term and private contact information.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
User-generated content often contains toxic language, hate speech, or sensitive personal data that violates safety policies. Manually auditing text or misconfiguring moderation tools leads to security risks and inconsistent filtering.
What it does
- Identifies toxic language and hate speech within provided text strings.
- Detects personal data leaks to ensure privacy compliance.
- Manages session state and caching to optimize repeated moderation requests.
- Provides structured error handling for missing parameters or API rate limits.
- Audits domain and SSL configurations when triggered by specific infrastructure queries.
Frameworks & tools
Google Cloud NLP API, MCP (Model Context Protocol).
Why this beats prompting it yourself
Standard LLM prompting for moderation is prone to hallucinations and inconsistent safety thresholding. This skill connects to a specialized NLP moderation engine, manages stateful sessions, and handles infrastructure-specific audits like DNS and SSL verification that base models cannot perform reliably alone.
Use cases
- Audit domain configurations and SSL certificates for security compliance.
- Moderate user-generated comments or messages for toxicity.
- Scan text for accidental personal data exposure before storage.
- Verify SPF and DMARC records during website configuration audits.
Known limitations
Requires a valid GOOGLE_CLOUD_NLP_API_KEY configured in your environment variables. The tool relies on session IDs for state management between calls.
Requires GOOGLE_CLOUD_NLP_API_KEY environment variable. Specific infrastructure checks (SSL/DNS) are dependent on the underlying MCP server capabilities.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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