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  "item": {
    "slug": "ai-screener",
    "name": "stock screener",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/xanxustan/ai-screener",
    "canonicalUrl": "https://clawhub.ai/xanxustan/ai-screener",
    "targetPlatform": "OpenClaw"
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    "sourcePlatform": "tencent",
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    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
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      "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."
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          "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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      "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",
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      "primaryActionLabel": "Download for OpenClaw",
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        "Confirm the extracted package contains the expected setup assets."
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        "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."
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  "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": "Intellectia Stock Screener",
        "body": "Fetch and summarize Intellectia “Screener List” results for stock/crypto screening."
      },
      {
        "title": "When to use this skill",
        "body": "Use this skill when you want to:\n\nGet the latest bullish/bearish screener candidates for stocks or crypto\nUse the built-in preset pick-lists (below) as your “stock/crypto picking tools”\nConvert a preset into exact API query parameters (symbol_type, period_type, trend_type)\nSummarize/compare results using probability, profit, price, change_ratio, klines, and trend_list"
      },
      {
        "title": "Presets (UI list mapping)",
        "body": "Pick one preset name and run it (this is the easiest way to use the skill):\n\nPreset (UI name)symbol_typeperiod_typetrend_typeStocks Bullish Tomorrow000Stocks Bearish Tomorrow001Stocks Bullish for a Week010Stocks Bearish for a Week011Stocks Bullish for a Month020Stocks Bearish for a Month021Cryptos Bullish Tomorrow200Cryptos Bearish Tomorrow201Cryptos Bullish for a Week210Cryptos Bearish for a Week211Cryptos Bullish for a Month220Cryptos Bearish for a Month221"
      },
      {
        "title": "Preset descriptions (copy-ready)",
        "body": "Stocks Bullish Tomorrow: This list highlights stocks expected to rise, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue an uptrend, based on similarity to proven bullish patterns.\nStocks Bearish Tomorrow: This list highlights stocks expected to fall, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue a downtrend, based on similarity to proven bearish patterns."
      },
      {
        "title": "How to ask (high hit-rate)",
        "body": "If you want OpenClaw to automatically pick this skill, include:\n\nThe word Intellectia or screener (or “bullish/bearish”, “stock screener”, “crypto screener”)\nOne preset name from the table above (recommended)\nYour output requirements (top N, sort, fields)\n\nIf you want to force it, use:\n\n/skill intellectia-stock-screener <your request>\n\nCopy-ready prompts:\n\n“Intellectia screener: Stocks Bullish Tomorrow. Top 10 by probability desc. Output: symbol,name,price,change_ratio,probability,profit.”\n“Intellectia screener: Stocks Bearish for a Week. Explain what probability and profit mean, then return a table.”\n“Intellectia screener: Cryptos Bullish for a Month. Page 1 size 50. Filter probability >= 70.”\n“Call Intellectia /gateway/v1/stock/screener-list with symbol_type=0 period_type=0 trend_type=0 page=1 size=20 and return raw JSON.”"
      },
      {
        "title": "Tool configuration",
        "body": "ToolPurposeConfigurationcurlQuick one-off requestsUse the full URL + query stringpython3Repeatable scriptsUse requests and parse data.listrequestsHTTP client librarypip install requests"
      },
      {
        "title": "Using this skill in OpenClaw",
        "body": "Install into the current workspace:\n\nclawhub install intellectia-stock-screener\n\nStart a new OpenClaw session so the agent picks it up (skills are snapshotted at session start).\n\nVerify it is visible/eligible:\n\nopenclaw skills list\nopenclaw skills info intellectia-stock-screener\nopenclaw skills check"
      },
      {
        "title": "Endpoint",
        "body": "Base URL: https://api.intellectia.ai\nGET /gateway/v1/stock/screener-list"
      },
      {
        "title": "Query parameters",
        "body": "NameTypeMeaningsymbol_typeintAsset type: 0=stock 1=etf 2=cryptoperiod_typeintPeriod: 0=day 1=week 2=monthtrend_typeintTrend: 0=bullish 1=bearishprofit_ascboolSort by profit ascending (true = small → large)market_capintMarket cap filter: 0=any 1=micro(<300M) 2=small(300M-2B) 3=mid(2B-10B) 4=large(10B-200B) 5=mega(>200B)priceintPrice filter: 0=any 1=<5 2=<50 3=>5 4=>50 5=5-50pageintPage number (example: 1)sizeintPage size (example: 20)"
      },
      {
        "title": "Response (200)",
        "body": "Example response (shape):\n\n{\n  \"ret\": 0,\n  \"msg\": \"\",\n  \"data\": {\n    \"list\": [\n      {\n        \"code\": \"BKD.N\",\n        \"symbol\": \"BKD\",\n        \"symbol_type\": 0,\n        \"name\": \"Brookdale Senior Living Inc\",\n        \"logo\": \"https://intellectia-public-documents.s3.amazonaws.com/image/logo/BKD_logo.png\",\n        \"pre_close\": 14.5,\n        \"price\": 15,\n        \"change_ratio\": 3.45,\n        \"timestamp\": \"1769749200\",\n        \"simiar_num\": 10,\n        \"probability\": 80,\n        \"profit\": 5.27,\n        \"klines\": [{ \"close\": 15, \"timestamp\": \"1769749200\" }],\n        \"trend_list\": [\n          {\n            \"symbol\": \"BKD\",\n            \"symbol_type\": 0,\n            \"is_main\": true,\n            \"list\": [{ \"change_ratio\": 5.27, \"timestamp\": \"1730260800\", \"close\": 16 }]\n          }\n        ],\n        \"update_time\": \"1769806800\"\n      }\n    ],\n    \"total\": 3,\n    \"detail\": {\n      \"cover_url\": \"https://d159e3ysga2l0q.cloudfront.net/image/cover_image/stock-1.png\",\n      \"name\": \"Stocks Bullish Tomorrow\",\n      \"screener_type\": 1011,\n      \"params\": \"{}\",\n      \"desc\": \"...\"\n    }\n  }\n}"
      },
      {
        "title": "Field reference",
        "body": "Top-level:\n\nret (int): Status code (typically 0 means success)\nmsg (string): Message (empty string when OK)\ndata (object): Payload\n\ndata:\n\ndata.list (array): Result rows\ndata.total (int): Total number of rows\ndata.detail (object): Screener metadata\n\nEach item in data.list:\n\ncode (string): Full instrument code (may include exchange suffix, e.g. BKD.N)\nsymbol (string): Ticker symbol (e.g. BKD)\nsymbol_type (int): Asset type (0=stock 1=etf 2=crypto)\nname (string): Display name\nlogo (string): Logo URL\npre_close (number): Previous close price\nprice (number): Current price\nchange_ratio (number): Percent change vs previous close\ntimestamp (string): Quote timestamp (Unix seconds)\nsimiar_num (int): Similarity count (as returned by API; spelling kept as-is)\nprobability (int): Model confidence (0-100)\nprofit (number): Predicted/expected return (as returned by API)\nklines (array): Price series\n\nklines[].close (number): Close price\nklines[].timestamp (string): Unix seconds\n\n\ntrend_list (array): Trend comparison series\n\ntrend_list[].symbol (string): Symbol for the series (may be empty for non-main series)\ntrend_list[].symbol_type (int): Asset type\ntrend_list[].is_main (bool): Whether this is the main series\ntrend_list[].list (array): Time points\n\ntrend_list[].list[].change_ratio (number): Percent change at that point\ntrend_list[].list[].timestamp (string): Unix seconds\ntrend_list[].list[].close (number): Close price at that point\n\n\n\n\nupdate_time (string): Last update time (Unix seconds)\n\ndata.detail:\n\ncover_url (string): Cover image URL\nname (string): Screener title\nscreener_type (int): Screener type ID\nparams (string): Serialized params (often JSON string)\ndesc (string): Screener description\nnum (int, optional): As returned by API (may be absent)"
      },
      {
        "title": "cURL",
        "body": "curl -sS \"https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20\""
      },
      {
        "title": "Python (requests)",
        "body": "python3 - <<'PY'\nimport requests\n\nbase_url = \"https://api.intellectia.ai\"\nparams = {\n  \"symbol_type\": 0,\n  \"period_type\": 0,\n  \"trend_type\": 0,\n  \"profit_asc\": False,\n  \"market_cap\": 0,\n  \"price\": 0,\n  \"page\": 1,\n  \"size\": 20,\n}\n\nr = requests.get(f\"{base_url}/gateway/v1/stock/screener-list\", params=params, timeout=30)\nr.raise_for_status()\npayload = r.json()\n\nprint(\"ret:\", payload.get(\"ret\"))\nprint(\"msg:\", payload.get(\"msg\"))\ndata = payload.get(\"data\") or {}\nrows = data.get(\"list\") or []\nprint(\"total:\", data.get(\"total\"))\nfor row in rows[:10]:\n  print(row.get(\"symbol\"), row.get(\"price\"), row.get(\"change_ratio\"), row.get(\"probability\"), row.get(\"profit\"))\nPY"
      },
      {
        "title": "Notes",
        "body": "No authentication required.\nIf you see rate limits, reduce size and add backoff/retry in client code."
      }
    ],
    "body": "Intellectia Stock Screener\n\nFetch and summarize Intellectia “Screener List” results for stock/crypto screening.\n\nWhen to use this skill\n\nUse this skill when you want to:\n\nGet the latest bullish/bearish screener candidates for stocks or crypto\nUse the built-in preset pick-lists (below) as your “stock/crypto picking tools”\nConvert a preset into exact API query parameters (symbol_type, period_type, trend_type)\nSummarize/compare results using probability, profit, price, change_ratio, klines, and trend_list\nPresets (UI list mapping)\n\nPick one preset name and run it (this is the easiest way to use the skill):\n\nPreset (UI name)\tsymbol_type\tperiod_type\ttrend_type\nStocks Bullish Tomorrow\t0\t0\t0\nStocks Bearish Tomorrow\t0\t0\t1\nStocks Bullish for a Week\t0\t1\t0\nStocks Bearish for a Week\t0\t1\t1\nStocks Bullish for a Month\t0\t2\t0\nStocks Bearish for a Month\t0\t2\t1\nCryptos Bullish Tomorrow\t2\t0\t0\nCryptos Bearish Tomorrow\t2\t0\t1\nCryptos Bullish for a Week\t2\t1\t0\nCryptos Bearish for a Week\t2\t1\t1\nCryptos Bullish for a Month\t2\t2\t0\nCryptos Bearish for a Month\t2\t2\t1\nPreset descriptions (copy-ready)\nStocks Bullish Tomorrow: This list highlights stocks expected to rise, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue an uptrend, based on similarity to proven bullish patterns.\nStocks Bearish Tomorrow: This list highlights stocks expected to fall, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue a downtrend, based on similarity to proven bearish patterns.\nHow to ask (high hit-rate)\n\nIf you want OpenClaw to automatically pick this skill, include:\n\nThe word Intellectia or screener (or “bullish/bearish”, “stock screener”, “crypto screener”)\nOne preset name from the table above (recommended)\nYour output requirements (top N, sort, fields)\n\nIf you want to force it, use:\n\n/skill intellectia-stock-screener <your request>\n\nCopy-ready prompts:\n\n“Intellectia screener: Stocks Bullish Tomorrow. Top 10 by probability desc. Output: symbol,name,price,change_ratio,probability,profit.”\n“Intellectia screener: Stocks Bearish for a Week. Explain what probability and profit mean, then return a table.”\n“Intellectia screener: Cryptos Bullish for a Month. Page 1 size 50. Filter probability >= 70.”\n“Call Intellectia /gateway/v1/stock/screener-list with symbol_type=0 period_type=0 trend_type=0 page=1 size=20 and return raw JSON.”\nTool configuration\nTool\tPurpose\tConfiguration\ncurl\tQuick one-off requests\tUse the full URL + query string\npython3\tRepeatable scripts\tUse requests and parse data.list\nrequests\tHTTP client library\tpip install requests\nUsing this skill in OpenClaw\n\nInstall into the current workspace:\n\nclawhub install intellectia-stock-screener\n\n\nStart a new OpenClaw session so the agent picks it up (skills are snapshotted at session start).\n\nVerify it is visible/eligible:\n\nopenclaw skills list\nopenclaw skills info intellectia-stock-screener\nopenclaw skills check\n\nEndpoint\nBase URL: https://api.intellectia.ai\nGET /gateway/v1/stock/screener-list\nQuery parameters\nName\tType\tMeaning\nsymbol_type\tint\tAsset type: 0=stock 1=etf 2=crypto\nperiod_type\tint\tPeriod: 0=day 1=week 2=month\ntrend_type\tint\tTrend: 0=bullish 1=bearish\nprofit_asc\tbool\tSort by profit ascending (true = small → large)\nmarket_cap\tint\tMarket cap filter: 0=any 1=micro(<300M) 2=small(300M-2B) 3=mid(2B-10B) 4=large(10B-200B) 5=mega(>200B)\nprice\tint\tPrice filter: 0=any 1=<5 2=<50 3=>5 4=>50 5=5-50\npage\tint\tPage number (example: 1)\nsize\tint\tPage size (example: 20)\nResponse (200)\n\nExample response (shape):\n\n{\n  \"ret\": 0,\n  \"msg\": \"\",\n  \"data\": {\n    \"list\": [\n      {\n        \"code\": \"BKD.N\",\n        \"symbol\": \"BKD\",\n        \"symbol_type\": 0,\n        \"name\": \"Brookdale Senior Living Inc\",\n        \"logo\": \"https://intellectia-public-documents.s3.amazonaws.com/image/logo/BKD_logo.png\",\n        \"pre_close\": 14.5,\n        \"price\": 15,\n        \"change_ratio\": 3.45,\n        \"timestamp\": \"1769749200\",\n        \"simiar_num\": 10,\n        \"probability\": 80,\n        \"profit\": 5.27,\n        \"klines\": [{ \"close\": 15, \"timestamp\": \"1769749200\" }],\n        \"trend_list\": [\n          {\n            \"symbol\": \"BKD\",\n            \"symbol_type\": 0,\n            \"is_main\": true,\n            \"list\": [{ \"change_ratio\": 5.27, \"timestamp\": \"1730260800\", \"close\": 16 }]\n          }\n        ],\n        \"update_time\": \"1769806800\"\n      }\n    ],\n    \"total\": 3,\n    \"detail\": {\n      \"cover_url\": \"https://d159e3ysga2l0q.cloudfront.net/image/cover_image/stock-1.png\",\n      \"name\": \"Stocks Bullish Tomorrow\",\n      \"screener_type\": 1011,\n      \"params\": \"{}\",\n      \"desc\": \"...\"\n    }\n  }\n}\n\nField reference\n\nTop-level:\n\nret (int): Status code (typically 0 means success)\nmsg (string): Message (empty string when OK)\ndata (object): Payload\n\ndata:\n\ndata.list (array): Result rows\ndata.total (int): Total number of rows\ndata.detail (object): Screener metadata\n\nEach item in data.list:\n\ncode (string): Full instrument code (may include exchange suffix, e.g. BKD.N)\nsymbol (string): Ticker symbol (e.g. BKD)\nsymbol_type (int): Asset type (0=stock 1=etf 2=crypto)\nname (string): Display name\nlogo (string): Logo URL\npre_close (number): Previous close price\nprice (number): Current price\nchange_ratio (number): Percent change vs previous close\ntimestamp (string): Quote timestamp (Unix seconds)\nsimiar_num (int): Similarity count (as returned by API; spelling kept as-is)\nprobability (int): Model confidence (0-100)\nprofit (number): Predicted/expected return (as returned by API)\nklines (array): Price series\nklines[].close (number): Close price\nklines[].timestamp (string): Unix seconds\ntrend_list (array): Trend comparison series\ntrend_list[].symbol (string): Symbol for the series (may be empty for non-main series)\ntrend_list[].symbol_type (int): Asset type\ntrend_list[].is_main (bool): Whether this is the main series\ntrend_list[].list (array): Time points\ntrend_list[].list[].change_ratio (number): Percent change at that point\ntrend_list[].list[].timestamp (string): Unix seconds\ntrend_list[].list[].close (number): Close price at that point\nupdate_time (string): Last update time (Unix seconds)\n\ndata.detail:\n\ncover_url (string): Cover image URL\nname (string): Screener title\nscreener_type (int): Screener type ID\nparams (string): Serialized params (often JSON string)\ndesc (string): Screener description\nnum (int, optional): As returned by API (may be absent)\nExamples\ncURL\ncurl -sS \"https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20\"\n\nPython (requests)\npython3 - <<'PY'\nimport requests\n\nbase_url = \"https://api.intellectia.ai\"\nparams = {\n  \"symbol_type\": 0,\n  \"period_type\": 0,\n  \"trend_type\": 0,\n  \"profit_asc\": False,\n  \"market_cap\": 0,\n  \"price\": 0,\n  \"page\": 1,\n  \"size\": 20,\n}\n\nr = requests.get(f\"{base_url}/gateway/v1/stock/screener-list\", params=params, timeout=30)\nr.raise_for_status()\npayload = r.json()\n\nprint(\"ret:\", payload.get(\"ret\"))\nprint(\"msg:\", payload.get(\"msg\"))\ndata = payload.get(\"data\") or {}\nrows = data.get(\"list\") or []\nprint(\"total:\", data.get(\"total\"))\nfor row in rows[:10]:\n  print(row.get(\"symbol\"), row.get(\"price\"), row.get(\"change_ratio\"), row.get(\"probability\"), row.get(\"profit\"))\nPY\n\nNotes\nNo authentication required.\nIf you see rate limits, reduce size and add backoff/retry in client code."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/xanxustan/ai-screener",
    "publisherUrl": "https://clawhub.ai/xanxustan/ai-screener",
    "owner": "xanxustan",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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