{
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  "item": {
    "slug": "tvscreener",
    "name": "Tvscreener",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/Subway-chenyan/tvscreener",
    "canonicalUrl": "https://clawhub.ai/Subway-chenyan/tvscreener",
    "targetPlatform": "OpenClaw"
  },
  "install": {
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    "downloadUrl": "/downloads/tvscreener",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=tvscreener",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "references/README_USAGE.md",
      "references/api/enums.md",
      "references/api/fields.md",
      "references/api/filters.md",
      "references/api/screeners.md"
    ],
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    "quickSetup": [
      "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."
      ],
      "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",
      "slug": "tvscreener",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T09:45:49.228Z",
      "expiresAt": "2026-05-07T09:45:49.228Z",
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        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "tvscreener"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/tvscreener"
    },
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        "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/tvscreener",
    "agentPageUrl": "https://openagent3.xyz/skills/tvscreener/agent",
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    "briefUrl": "https://openagent3.xyz/skills/tvscreener/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": "tvscreener",
        "body": "Use this skill for market queries with simple scripts first, then native Python when needed."
      },
      {
        "title": "Install",
        "body": "python3 -m pip install -U tvscreener\n\nPython must be >=3.10."
      },
      {
        "title": "Quick commands (run from skill root)",
        "body": "Use Python 3.10+ in your preferred environment (venv/pyenv/system Python).\n\n# Preset single-symbol output (recommended)\npython3 scripts/query_symbol.py --symbol HKEX:700 --market HONGKONG\n\n# Custom query (fields + filters)\nbash scripts/run_query.sh \\\n  --market CHINA \\\n  --symbol SHSE:600519 \\\n  --fields 'NAME,PRICE,CHANGE_PERCENT,VOLUME,RELATIVE_STRENGTH_INDEX_14,MACD_LEVEL_12_26,MACD_SIGNAL_12_26,MACD_HIST,SIMPLE_MOVING_AVERAGE_20,SIMPLE_MOVING_AVERAGE_50,SIMPLE_MOVING_AVERAGE_200,EXPONENTIAL_MOVING_AVERAGE_20,EXPONENTIAL_MOVING_AVERAGE_50,EXPONENTIAL_MOVING_AVERAGE_200,BOLLINGER_UPPER_BAND_20,BOLLINGER_LOWER_BAND_20,STOCHASTIC_PERCENTK_14_3_3,STOCHASTIC_PERCENTD_14_3_3,AVERAGE_TRUE_RANGE_14,MOVING_AVERAGES_RATING' \\\n  --filter 'NAME=600519'\n\n# Field discovery\npython3 scripts/discover_fields.py --keyword macd --limit 20"
      },
      {
        "title": "Shell quoting notes",
        "body": "Wrap --fields and --filter in single quotes.\nIf you use interval syntax like FIELD|60, quoting is mandatory to avoid shell pipe parsing."
      },
      {
        "title": "Query rules",
        "body": "Core technical set (recommended): PRICE, CHANGE_PERCENT, VOLUME, RELATIVE_STRENGTH_INDEX_14, MACD_LEVEL_12_26, MACD_SIGNAL_12_26, MACD_HIST, SIMPLE_MOVING_AVERAGE_20/50/200, EXPONENTIAL_MOVING_AVERAGE_20/50/200, BOLLINGER_UPPER_BAND_20, BOLLINGER_LOWER_BAND_20, STOCHASTIC_PERCENTK_14_3_3, STOCHASTIC_PERCENTD_14_3_3, AVERAGE_TRUE_RANGE_14, MOVING_AVERAGES_RATING\nInterval fields syntax: FIELD|60 / FIELD|240 (example: RELATIVE_STRENGTH_INDEX_14|60)\n\nCurrent caveat: interval fields may fail in scripts/custom_query.py with FieldWithInterval attribute errors in some tvscreener versions.\nWorkaround: run without interval fields, or use scripts/query_symbol.py for stable single-symbol technical snapshots.\n\n\nFilters: =, !=, >, <, >=, <="
      },
      {
        "title": "Troubleshooting",
        "body": "ImportError: cannot import name 'Market' from 'tvscreener'\n\nUsually caused by mismatched Python/site-packages or multiple Python environments.\nFix: ensure commands and installation use the same Python (3.10+), then reinstall:\n\npython3 -m pip install -U tvscreener\n\n\n\n\nzsh: command not found: 60,...\n\nCause: unquoted FIELD|60 interpreted as shell pipes.\nFix: single-quote the full --fields string."
      },
      {
        "title": "References",
        "body": "Workflow + patterns: references/README_USAGE.md\nAPI details:\n\nreferences/api/screeners.md\nreferences/api/fields.md\nreferences/api/filters.md\nreferences/api/enums.md\n\nIf scripts are insufficient, read references and write direct Python using tvscreener native API."
      },
      {
        "title": "Regression test",
        "body": "bash scripts/test_markets.sh\n\nCovers Tencent (HK), Moutai (A), A-share ETF (510300), and BIDU (US)."
      }
    ],
    "body": "tvscreener\n\nUse this skill for market queries with simple scripts first, then native Python when needed.\n\nInstall\npython3 -m pip install -U tvscreener\n\n\nPython must be >=3.10.\n\nQuick commands (run from skill root)\n\nUse Python 3.10+ in your preferred environment (venv/pyenv/system Python).\n\n# Preset single-symbol output (recommended)\npython3 scripts/query_symbol.py --symbol HKEX:700 --market HONGKONG\n\n# Custom query (fields + filters)\nbash scripts/run_query.sh \\\n  --market CHINA \\\n  --symbol SHSE:600519 \\\n  --fields 'NAME,PRICE,CHANGE_PERCENT,VOLUME,RELATIVE_STRENGTH_INDEX_14,MACD_LEVEL_12_26,MACD_SIGNAL_12_26,MACD_HIST,SIMPLE_MOVING_AVERAGE_20,SIMPLE_MOVING_AVERAGE_50,SIMPLE_MOVING_AVERAGE_200,EXPONENTIAL_MOVING_AVERAGE_20,EXPONENTIAL_MOVING_AVERAGE_50,EXPONENTIAL_MOVING_AVERAGE_200,BOLLINGER_UPPER_BAND_20,BOLLINGER_LOWER_BAND_20,STOCHASTIC_PERCENTK_14_3_3,STOCHASTIC_PERCENTD_14_3_3,AVERAGE_TRUE_RANGE_14,MOVING_AVERAGES_RATING' \\\n  --filter 'NAME=600519'\n\n# Field discovery\npython3 scripts/discover_fields.py --keyword macd --limit 20\n\nShell quoting notes\nWrap --fields and --filter in single quotes.\nIf you use interval syntax like FIELD|60, quoting is mandatory to avoid shell pipe parsing.\nQuery rules\nCore technical set (recommended): PRICE, CHANGE_PERCENT, VOLUME, RELATIVE_STRENGTH_INDEX_14, MACD_LEVEL_12_26, MACD_SIGNAL_12_26, MACD_HIST, SIMPLE_MOVING_AVERAGE_20/50/200, EXPONENTIAL_MOVING_AVERAGE_20/50/200, BOLLINGER_UPPER_BAND_20, BOLLINGER_LOWER_BAND_20, STOCHASTIC_PERCENTK_14_3_3, STOCHASTIC_PERCENTD_14_3_3, AVERAGE_TRUE_RANGE_14, MOVING_AVERAGES_RATING\nInterval fields syntax: FIELD|60 / FIELD|240 (example: RELATIVE_STRENGTH_INDEX_14|60)\nCurrent caveat: interval fields may fail in scripts/custom_query.py with FieldWithInterval attribute errors in some tvscreener versions.\nWorkaround: run without interval fields, or use scripts/query_symbol.py for stable single-symbol technical snapshots.\nFilters: =, !=, >, <, >=, <=\nTroubleshooting\nImportError: cannot import name 'Market' from 'tvscreener'\nUsually caused by mismatched Python/site-packages or multiple Python environments.\nFix: ensure commands and installation use the same Python (3.10+), then reinstall:\npython3 -m pip install -U tvscreener\nzsh: command not found: 60,...\nCause: unquoted FIELD|60 interpreted as shell pipes.\nFix: single-quote the full --fields string.\nReferences\nWorkflow + patterns: references/README_USAGE.md\nAPI details:\nreferences/api/screeners.md\nreferences/api/fields.md\nreferences/api/filters.md\nreferences/api/enums.md\n\nIf scripts are insufficient, read references and write direct Python using tvscreener native API.\n\nRegression test\nbash scripts/test_markets.sh\n\n\nCovers Tencent (HK), Moutai (A), A-share ETF (510300), and BIDU (US)."
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Subway-chenyan/tvscreener",
    "publisherUrl": "https://clawhub.ai/Subway-chenyan/tvscreener",
    "owner": "Subway-chenyan",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "detailUrl": "https://openagent3.xyz/skills/tvscreener",
    "downloadUrl": "https://openagent3.xyz/downloads/tvscreener",
    "agentUrl": "https://openagent3.xyz/skills/tvscreener/agent",
    "manifestUrl": "https://openagent3.xyz/skills/tvscreener/agent.json",
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}