klingai-content-policy

name	klingai-content-policy
description	Implement content policy compliance for Kling AI prompts and outputs. Use when filtering user prompts or handling moderation. Trigger with phrases like 'klingai content policy', 'kling ai moderation', 'safe video generation', 'klingai content filter'.
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","kling-ai","content-policy","moderation"]
compatibility	Designed for Claude Code

Kling AI Content Policy

Overview

Kling AI enforces content policies server-side. Tasks with policy-violating prompts return task_status: "failed" with a content policy message. This skill covers pre-submission filtering to avoid wasted credits and API calls.

Restricted Content Categories

Kling AI prohibits prompts that generate:

Category	Examples
Violence/gore	Graphic injuries, torture, weapons used violently
Adult/sexual	Explicit nudity, sexual acts, suggestive content
Hate/discrimination	Slurs, targeted harassment, supremacist imagery
Illegal activity	Drug manufacturing, terrorism, fraud instructions
Real people	Deepfakes of identifiable individuals without consent
Copyrighted characters	Trademarked characters (Mickey Mouse, Spider-Man)
Misinformation	Fake news, fabricated events presented as real
Self-harm	Suicide, eating disorders, self-injury instructions

Pre-Submission Prompt Filter

import re

class PromptFilter:
    """Filter prompts before sending to Kling AI to save credits."""

    BLOCKED_PATTERNS = [
        r"\b(nude|naked|explicit|nsfw|porn)\b",
        r"\b(gore|dismember|torture|mutilat)\b",
        r"\b(bomb|terroris|weapon|firearm)\b",
        r"\b(suicide|self.harm|kill.yourself)\b",
        r"\b(deepfake|impersonat)\b",
    ]

    BLOCKED_TERMS = {
        "blood splatter", "graphic violence", "child abuse",
        "drug manufacturing", "hate speech",
    }

    def __init__(self):
        self._patterns = [re.compile(p, re.IGNORECASE)  p  .BLOCKED_PATTERNS]

     () -> [, ]:
        
        lower = prompt.lower()

         term  .BLOCKED_TERMS:
             term  lower:
                 , 

         pattern  ._patterns:
             = pattern.search(prompt)
             :
                 , 

         (prompt) > :
             , 

         (prompt.strip()) < :
             , 

         , 

     () -> :
        
         pattern  ._patterns:
            prompt = pattern.sub(, prompt)
         prompt.strip()