Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Glin Profanity MCP
MCP server providing profanity detection tools for AI assistants. Use when reviewing batches of user content, auditing comments for moderation reports, analyzing text for profanity before publishing, or when AI needs content moderation capabilities during workflows.
skill openclawclawhub Free
MCP server providing profanity detection tools for AI assistants. Use when reviewing batches of user content, auditing comments for moderation reports, analyzing text for profanity before publishing, or when AI needs content moderation capabilities during workflows.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
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
Glin Profanity MCP Server
MCP (Model Context Protocol) server that provides profanity detection as tools for AI assistants like Claude Desktop, Cursor, and Windsurf. Best for: AI-assisted content review workflows, batch moderation, audit reports, and content validation before publishing.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json: { "mcpServers": { "glin-profanity": { "command": "npx", "args": ["-y", "glin-profanity-mcp"] } } }
Cursor
Add to .cursor/mcp.json: { "mcpServers": { "glin-profanity": { "command": "npx", "args": ["-y", "glin-profanity-mcp"] } } }
Core Detection
ToolDescriptioncheck_profanityCheck text for profanity with detailed resultscensor_textCensor profanity with configurable replacementbatch_checkCheck multiple texts at once (up to 100)validate_contentGet safety score (0-100) with action recommendation
Analysis
ToolDescriptionanalyze_contextContext-aware analysis (medical, gaming, etc.)detect_obfuscationDetect leetspeak and Unicode tricksexplain_matchExplain why text was flaggedcompare_strictnessCompare detection across strictness levels
Utilities
ToolDescriptionsuggest_alternativesSuggest clean replacementsanalyze_corpusAnalyze up to 500 texts for statscreate_regex_patternGenerate regex for custom detectionget_supported_languagesList all 24 supported languages
User Tracking
ToolDescriptiontrack_user_messageTrack messages for repeat offendersget_user_profileGet user's moderation historyget_high_risk_usersList users with high violation rates
Content Review
"Check these 50 user comments and tell me which ones need moderation" "Validate this blog post before publishing - use high strictness" "Analyze this medical article with medical domain context"
Batch Operations
"Batch check all messages in this array and return only flagged ones" "Generate a moderation audit report for these comments"
Understanding Flags
"Explain why 'f4ck' was detected as profanity" "Compare strictness levels for this gaming chat message"
Content Cleanup
"Suggest professional alternatives for this flagged text" "Censor the profanity but preserve first letters"
When to Use
Use MCP server when: AI assists with content review workflows Batch checking user submissions Generating moderation reports Content validation before publishing Human-in-the-loop moderation Use core library instead when: Automated real-time filtering (hooks/middleware) Every message needs checking without AI involvement Performance-critical applications (< 1ms response)
Resources
npm: https://www.npmjs.com/package/glin-profanity-mcp GitHub: https://github.com/GLINCKER/glin-profanity/tree/release/packages/mcp Core library: https://www.npmjs.com/package/glin-profanity
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
1 Docs
- SKILL.md