{ "schemaVersion": "1.0", "item": { "slug": "social-sentiment", "name": "Social Sentiment", "source": "tencent", "type": "skill", "category": "ę•°ę®åˆ†ęž", "sourceUrl": "https://clawhub.ai/atyachin/social-sentiment", "canonicalUrl": "https://clawhub.ai/atyachin/social-sentiment", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/social-sentiment", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=social-sentiment", "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." } ] }, "sourceHealth": { "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", "probeMethod": "head", "details": { "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/social-sentiment" }, "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/social-sentiment", "agentPageUrl": "https://openagent3.xyz/skills/social-sentiment/agent", "manifestUrl": "https://openagent3.xyz/skills/social-sentiment/agent.json", "briefUrl": "https://openagent3.xyz/skills/social-sentiment/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." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Social Sentiment", "body": "Analyze brand sentiment from live social conversations at scale.\n\nSurfaces themes, flags viral complaints, compares competitors. Analyzes 1K-70K posts via bulk CSV + Python." }, { "title": "Setup", "body": "Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus" }, { "title": "Step 1: Search Platforms", "body": "Queries: (1) \"Brand\" (2) \"Brand\" AND (slow OR buggy) (3) \"Brand\" AND (love OR amazing)\n\nmcporter call xpoz.getTwitterPostsByKeywords query='\"Notion\"' startDate=\"YYYY-MM-DD\"\nmcporter call xpoz.checkOperationStatus operationId=\"op_...\" # Poll 5s\n\nRepeat for Reddit/Instagram. Default: 30 days." }, { "title": "Step 2: Download CSVs", "body": "Use dataDumpExportOperationId, poll with checkOperationStatus for download URL (up to 64K rows)." }, { "title": "Step 3: Analyze", "body": "Python/pandas:\n\nimport pandas as pd\ndf = pd.read_csv('/tmp/twitter-sentiment.csv')\n\nPOSITIVE = ['love', 'amazing', 'best', 'recommend']\nNEGATIVE = ['hate', 'terrible', 'worst', 'broken']\n\ndef classify(text):\n t = str(text).lower()\n pos = sum(1 for k in POSITIVE if k in t)\n neg = sum(1 for k in NEGATIVE if k in t)\n return 'positive' if pos>neg else ('negative' if neg>pos else 'neutral')\n\ndf['sentiment'] = df['text'].apply(classify)\n\nExtract themes, find viral by engagement. Customize keywords." }, { "title": "Step 4: Report", "body": "Sentiment: 72/100 | Posts: 14,832\nšŸ˜Š 58% | šŸ˜  24% | šŸ˜ 18%\n\nThemes: Performance (2K, 81% neg), UX (1.8K, 72% pos)\nViral: [Top 10]\n\nScore: Engagement-weighted, 0-100. Include insights." }, { "title": "Tips", "body": "Download full CSVs | Reddit = honest | Store data/social-sentiment/ for trends" } ], "body": "Social Sentiment\n\nAnalyze brand sentiment from live social conversations at scale.\n\nSurfaces themes, flags viral complaints, compares competitors. Analyzes 1K-70K posts via bulk CSV + Python.\n\nSetup\n\nRun xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus\n\n4-Step Process\nStep 1: Search Platforms\n\nQueries: (1) \"Brand\" (2) \"Brand\" AND (slow OR buggy) (3) \"Brand\" AND (love OR amazing)\n\nmcporter call xpoz.getTwitterPostsByKeywords query='\"Notion\"' startDate=\"YYYY-MM-DD\"\nmcporter call xpoz.checkOperationStatus operationId=\"op_...\" # Poll 5s\n\n\nRepeat for Reddit/Instagram. Default: 30 days.\n\nStep 2: Download CSVs\n\nUse dataDumpExportOperationId, poll with checkOperationStatus for download URL (up to 64K rows).\n\nStep 3: Analyze\n\nPython/pandas:\n\nimport pandas as pd\ndf = pd.read_csv('/tmp/twitter-sentiment.csv')\n\nPOSITIVE = ['love', 'amazing', 'best', 'recommend']\nNEGATIVE = ['hate', 'terrible', 'worst', 'broken']\n\ndef classify(text):\n t = str(text).lower()\n pos = sum(1 for k in POSITIVE if k in t)\n neg = sum(1 for k in NEGATIVE if k in t)\n return 'positive' if pos>neg else ('negative' if neg>pos else 'neutral')\n\ndf['sentiment'] = df['text'].apply(classify)\n\n\nExtract themes, find viral by engagement. Customize keywords.\n\nStep 4: Report\nSentiment: 72/100 | Posts: 14,832\nšŸ˜Š 58% | šŸ˜  24% | šŸ˜ 18%\n\nThemes: Performance (2K, 81% neg), UX (1.8K, 72% pos)\nViral: [Top 10]\n\n\nScore: Engagement-weighted, 0-100. Include insights.\n\nTips\n\nDownload full CSVs | Reddit = honest | Store data/social-sentiment/ for trends" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/atyachin/social-sentiment", "publisherUrl": "https://clawhub.ai/atyachin/social-sentiment", "owner": "atyachin", "version": "1.4.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/social-sentiment", "downloadUrl": "https://openagent3.xyz/downloads/social-sentiment", "agentUrl": "https://openagent3.xyz/skills/social-sentiment/agent", "manifestUrl": "https://openagent3.xyz/skills/social-sentiment/agent.json", "briefUrl": "https://openagent3.xyz/skills/social-sentiment/agent.md" } }