Skills Artificial Intelligence Kling AI Content Compliance

Kling AI Content Compliance

v20260311
klingai-content-policy
Guides implementing Kling AI content-policy compliance with prompt screening, moderation checks, violation handling, and documentation to ensure generated responses stay within safety guidelines for production deployments.
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Overview

Klingai Content Policy

Overview

This skill teaches how to implement content policy compliance including prompt filtering, output moderation, age-appropriate content controls, and handling policy violations for Kling AI.

Prerequisites

  • Kling AI API key configured
  • Understanding of content policies
  • Python 3.8+

Instructions

Follow these steps for content compliance:

  1. Review Policies: Understand Kling AI content rules
  2. Implement Filters: Add prompt screening
  3. Handle Violations: Manage rejected content
  4. Add Moderation: Post-generation review
  5. Document Policies: Create user guidelines

Output

Successful execution produces:

  • Filtered and approved prompts
  • Blocked policy-violating content
  • Sanitized alternative prompts
  • Violation audit trail

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

Info
Name klingai-content-policy
Version v20260311
Size 5.98KB
Updated At 2026-03-12
Language