{
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  "item": {
    "slug": "glin-profanity",
    "name": "Glin Profanity",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/thegdsks/glin-profanity",
    "canonicalUrl": "https://clawhub.ai/thegdsks/glin-profanity",
    "targetPlatform": "OpenClaw"
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    "downloadUrl": "/downloads/glin-profanity",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=glin-profanity",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
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      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
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        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/glin-profanity"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/glin-profanity",
    "agentPageUrl": "https://openagent3.xyz/skills/glin-profanity/agent",
    "manifestUrl": "https://openagent3.xyz/skills/glin-profanity/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/glin-profanity/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Glin Profanity - Content Moderation Library",
        "body": "Profanity detection library that catches evasion attempts like leetspeak (f4ck, sh1t), Unicode tricks (Cyrillic lookalikes), and obfuscated text."
      },
      {
        "title": "Installation",
        "body": "# JavaScript/TypeScript\nnpm install glin-profanity\n\n# Python\npip install glin-profanity"
      },
      {
        "title": "JavaScript/TypeScript",
        "body": "import { checkProfanity, Filter } from 'glin-profanity';\n\n// Simple check\nconst result = checkProfanity(\"Your text here\", {\n  detectLeetspeak: true,\n  normalizeUnicode: true,\n  languages: ['english']\n});\n\nresult.containsProfanity  // boolean\nresult.profaneWords       // array of detected words\nresult.processedText      // censored version\n\n// With Filter instance\nconst filter = new Filter({\n  replaceWith: '***',\n  detectLeetspeak: true,\n  normalizeUnicode: true\n});\n\nfilter.isProfane(\"text\")           // boolean\nfilter.checkProfanity(\"text\")      // full result object"
      },
      {
        "title": "Python",
        "body": "from glin_profanity import Filter\n\nfilter = Filter({\n    \"languages\": [\"english\"],\n    \"replace_with\": \"***\",\n    \"detect_leetspeak\": True\n})\n\nfilter.is_profane(\"text\")           # True/False\nfilter.check_profanity(\"text\")      # Full result dict"
      },
      {
        "title": "React Hook",
        "body": "import { useProfanityChecker } from 'glin-profanity';\n\nfunction ChatInput() {\n  const { result, checkText } = useProfanityChecker({\n    detectLeetspeak: true\n  });\n\n  return (\n    <input onChange={(e) => checkText(e.target.value)} />\n  );\n}"
      },
      {
        "title": "Key Features",
        "body": "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"
      },
      {
        "title": "Configuration Options",
        "body": "const filter = new Filter({\n  languages: ['english', 'spanish'],     // Languages to check\n  detectLeetspeak: true,                 // Catch f4ck, sh1t\n  leetspeakLevel: 'moderate',            // basic | moderate | aggressive\n  normalizeUnicode: true,                // Catch Unicode tricks\n  replaceWith: '*',                      // Replacement character\n  preserveFirstLetter: false,            // f*** vs ****\n  customWords: ['badword'],              // Add custom words\n  ignoreWords: ['hell'],                 // Whitelist words\n  cacheSize: 1000                        // LRU cache entries\n});"
      },
      {
        "title": "Context-Aware Analysis",
        "body": "import { analyzeContext } from 'glin-profanity';\n\nconst result = analyzeContext(\"The patient has a breast tumor\", {\n  domain: 'medical',        // medical | gaming | technical | educational\n  contextWindow: 3,         // Words around match to consider\n  confidenceThreshold: 0.7  // Minimum confidence to flag\n});"
      },
      {
        "title": "Batch Processing",
        "body": "import { batchCheck } from 'glin-profanity';\n\nconst results = batchCheck([\n  \"Comment 1\",\n  \"Comment 2\",\n  \"Comment 3\"\n], { returnOnlyFlagged: true });"
      },
      {
        "title": "ML-Powered Detection (Optional)",
        "body": "import { loadToxicityModel, checkToxicity } from 'glin-profanity/ml';\n\nawait loadToxicityModel({ threshold: 0.9 });\n\nconst result = await checkToxicity(\"You're the worst\");\n// { toxic: true, categories: { toxicity: 0.92, insult: 0.87 } }"
      },
      {
        "title": "Chat/Comment Moderation",
        "body": "const filter = new Filter({\n  detectLeetspeak: true,\n  normalizeUnicode: true,\n  languages: ['english']\n});\n\nbot.on('message', (msg) => {\n  if (filter.isProfane(msg.text)) {\n    deleteMessage(msg);\n    warnUser(msg.author);\n  }\n});"
      },
      {
        "title": "Content Validation Before Publish",
        "body": "const result = filter.checkProfanity(userContent);\n\nif (result.containsProfanity) {\n  return {\n    valid: false,\n    issues: result.profaneWords,\n    suggestion: result.processedText  // Censored version\n  };\n}"
      },
      {
        "title": "Resources",
        "body": "Docs: https://www.typeweaver.com/docs/glin-profanity\nDemo: https://www.glincker.com/tools/glin-profanity\nGitHub: https://github.com/GLINCKER/glin-profanity\nnpm: https://www.npmjs.com/package/glin-profanity\nPyPI: https://pypi.org/project/glin-profanity/"
      }
    ],
    "body": "Glin Profanity - Content Moderation Library\n\nProfanity detection library that catches evasion attempts like leetspeak (f4ck, sh1t), Unicode tricks (Cyrillic lookalikes), and obfuscated text.\n\nInstallation\n# JavaScript/TypeScript\nnpm install glin-profanity\n\n# Python\npip install glin-profanity\n\nQuick Usage\nJavaScript/TypeScript\nimport { checkProfanity, Filter } from 'glin-profanity';\n\n// Simple check\nconst result = checkProfanity(\"Your text here\", {\n  detectLeetspeak: true,\n  normalizeUnicode: true,\n  languages: ['english']\n});\n\nresult.containsProfanity  // boolean\nresult.profaneWords       // array of detected words\nresult.processedText      // censored version\n\n// With Filter instance\nconst filter = new Filter({\n  replaceWith: '***',\n  detectLeetspeak: true,\n  normalizeUnicode: true\n});\n\nfilter.isProfane(\"text\")           // boolean\nfilter.checkProfanity(\"text\")      // full result object\n\nPython\nfrom glin_profanity import Filter\n\nfilter = Filter({\n    \"languages\": [\"english\"],\n    \"replace_with\": \"***\",\n    \"detect_leetspeak\": True\n})\n\nfilter.is_profane(\"text\")           # True/False\nfilter.check_profanity(\"text\")      # Full result dict\n\nReact Hook\nimport { useProfanityChecker } from 'glin-profanity';\n\nfunction ChatInput() {\n  const { result, checkText } = useProfanityChecker({\n    detectLeetspeak: true\n  });\n\n  return (\n    <input onChange={(e) => checkText(e.target.value)} />\n  );\n}\n\nKey Features\nFeature\tDescription\nLeetspeak detection\tf4ck, sh1t, @$$ patterns\nUnicode normalization\tCyrillic fսck → fuck\n24 languages\tIncluding Arabic, Chinese, Russian, Hindi\nContext whitelists\tMedical, gaming, technical domains\nML integration\tOptional TensorFlow.js toxicity detection\nResult caching\tLRU cache for performance\nConfiguration Options\nconst filter = new Filter({\n  languages: ['english', 'spanish'],     // Languages to check\n  detectLeetspeak: true,                 // Catch f4ck, sh1t\n  leetspeakLevel: 'moderate',            // basic | moderate | aggressive\n  normalizeUnicode: true,                // Catch Unicode tricks\n  replaceWith: '*',                      // Replacement character\n  preserveFirstLetter: false,            // f*** vs ****\n  customWords: ['badword'],              // Add custom words\n  ignoreWords: ['hell'],                 // Whitelist words\n  cacheSize: 1000                        // LRU cache entries\n});\n\nContext-Aware Analysis\nimport { analyzeContext } from 'glin-profanity';\n\nconst result = analyzeContext(\"The patient has a breast tumor\", {\n  domain: 'medical',        // medical | gaming | technical | educational\n  contextWindow: 3,         // Words around match to consider\n  confidenceThreshold: 0.7  // Minimum confidence to flag\n});\n\nBatch Processing\nimport { batchCheck } from 'glin-profanity';\n\nconst results = batchCheck([\n  \"Comment 1\",\n  \"Comment 2\",\n  \"Comment 3\"\n], { returnOnlyFlagged: true });\n\nML-Powered Detection (Optional)\nimport { loadToxicityModel, checkToxicity } from 'glin-profanity/ml';\n\nawait loadToxicityModel({ threshold: 0.9 });\n\nconst result = await checkToxicity(\"You're the worst\");\n// { toxic: true, categories: { toxicity: 0.92, insult: 0.87 } }\n\nCommon Patterns\nChat/Comment Moderation\nconst filter = new Filter({\n  detectLeetspeak: true,\n  normalizeUnicode: true,\n  languages: ['english']\n});\n\nbot.on('message', (msg) => {\n  if (filter.isProfane(msg.text)) {\n    deleteMessage(msg);\n    warnUser(msg.author);\n  }\n});\n\nContent Validation Before Publish\nconst result = filter.checkProfanity(userContent);\n\nif (result.containsProfanity) {\n  return {\n    valid: false,\n    issues: result.profaneWords,\n    suggestion: result.processedText  // Censored version\n  };\n}\n\nResources\nDocs: https://www.typeweaver.com/docs/glin-profanity\nDemo: https://www.glincker.com/tools/glin-profanity\nGitHub: https://github.com/GLINCKER/glin-profanity\nnpm: https://www.npmjs.com/package/glin-profanity\nPyPI: https://pypi.org/project/glin-profanity/"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/thegdsks/glin-profanity",
    "publisherUrl": "https://clawhub.ai/thegdsks/glin-profanity",
    "owner": "thegdsks",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "detailUrl": "https://openagent3.xyz/skills/glin-profanity",
    "downloadUrl": "https://openagent3.xyz/downloads/glin-profanity",
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}