Tencent SkillHub · Communication & Collaboration

Glin Profanity

Profanity detection and content moderation library with leetspeak, Unicode homoglyph, and ML-powered detection. Use when filtering user-generated content, moderating comments, checking text for profanity, censoring messages, or building content moderation into applications. Supports 24 languages.

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Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

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Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: thegdsks
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Glin Profanity - Content Moderation Library

Profanity detection library that catches evasion attempts like leetspeak (f4ck, sh1t), Unicode tricks (Cyrillic lookalikes), and obfuscated text.

Installation

# JavaScript/TypeScript npm install glin-profanity # Python pip install glin-profanity

JavaScript/TypeScript

import { checkProfanity, Filter } from 'glin-profanity'; // Simple check const result = checkProfanity("Your text here", { detectLeetspeak: true, normalizeUnicode: true, languages: ['english'] }); result.containsProfanity // boolean result.profaneWords // array of detected words result.processedText // censored version // With Filter instance const filter = new Filter({ replaceWith: '***', detectLeetspeak: true, normalizeUnicode: true }); filter.isProfane("text") // boolean filter.checkProfanity("text") // full result object

Python

from glin_profanity import Filter filter = Filter({ "languages": ["english"], "replace_with": "***", "detect_leetspeak": True }) filter.is_profane("text") # True/False filter.check_profanity("text") # Full result dict

React Hook

import { useProfanityChecker } from 'glin-profanity'; function ChatInput() { const { result, checkText } = useProfanityChecker({ detectLeetspeak: true }); return ( <input onChange={(e) => checkText(e.target.value)} /> ); }

Key Features

FeatureDescriptionLeetspeak detectionf4ck, sh1t, @$$ patternsUnicode normalizationCyrillic fսck → fuck24 languagesIncluding Arabic, Chinese, Russian, HindiContext whitelistsMedical, gaming, technical domainsML integrationOptional TensorFlow.js toxicity detectionResult cachingLRU cache for performance

Configuration Options

const filter = new Filter({ languages: ['english', 'spanish'], // Languages to check detectLeetspeak: true, // Catch f4ck, sh1t leetspeakLevel: 'moderate', // basic | moderate | aggressive normalizeUnicode: true, // Catch Unicode tricks replaceWith: '*', // Replacement character preserveFirstLetter: false, // f*** vs **** customWords: ['badword'], // Add custom words ignoreWords: ['hell'], // Whitelist words cacheSize: 1000 // LRU cache entries });

Context-Aware Analysis

import { analyzeContext } from 'glin-profanity'; const result = analyzeContext("The patient has a breast tumor", { domain: 'medical', // medical | gaming | technical | educational contextWindow: 3, // Words around match to consider confidenceThreshold: 0.7 // Minimum confidence to flag });

Batch Processing

import { batchCheck } from 'glin-profanity'; const results = batchCheck([ "Comment 1", "Comment 2", "Comment 3" ], { returnOnlyFlagged: true });

ML-Powered Detection (Optional)

import { loadToxicityModel, checkToxicity } from 'glin-profanity/ml'; await loadToxicityModel({ threshold: 0.9 }); const result = await checkToxicity("You're the worst"); // { toxic: true, categories: { toxicity: 0.92, insult: 0.87 } }

Chat/Comment Moderation

Content Validation Before Publish

const result = filter.checkProfanity(userContent); if (result.containsProfanity) { return { valid: false, issues: result.profaneWords, suggestion: result.processedText // Censored version }; }

Resources

Docs: https://www.typeweaver.com/docs/glin-profanity Demo: https://www.glincker.com/tools/glin-profanity GitHub: https://github.com/GLINCKER/glin-profanity npm: https://www.npmjs.com/package/glin-profanity PyPI: https://pypi.org/project/glin-profanity/

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs

SKILL.md Primary doc