{
  "schemaVersion": "1.0",
  "item": {
    "slug": "health-auto-log",
    "name": "Health Auto Log",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/klcintw/health-auto-log",
    "canonicalUrl": "https://clawhub.ai/klcintw/health-auto-log",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/health-auto-log",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=health-auto-log",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/record_health_data.py"
    ],
    "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/health-auto-log"
    },
    "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/health-auto-log",
    "agentPageUrl": "https://openagent3.xyz/skills/health-auto-log/agent",
    "manifestUrl": "https://openagent3.xyz/skills/health-auto-log/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/health-auto-log/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": "Overview",
        "body": "Automatically detect health metrics from user messages and record them to AX3 Personal system. Supports weight, blood sugar, and exercise time tracking with flexible input formats."
      },
      {
        "title": "When to Use This Skill",
        "body": "Trigger this skill when user messages contain:\n\nWeight measurements (e.g., \"體重69.8公斤\", \"69.8kg\", \"69.8\")\nBlood sugar readings (e.g., \"血糖120\", \"120 mg/dL\")\nExercise time (e.g., \"跑步機30分\", \"跑步30\")"
      },
      {
        "title": "Quick Start",
        "body": "Use the record_health_data.py script to process any message:\n\npython3 scripts/record_health_data.py \"體重69.8公斤\"\n\nThe script will:\n\nExtract health metrics from the message\nValidate the values are within reasonable ranges\nRecord to AX3 using mcporter\nReturn confirmation with record IDs"
      },
      {
        "title": "1. Weight (體重)",
        "body": "Habit ID: 1\nUnit: kg\nRange: 40-200 kg\n\nSupported formats:\n\n體重69.8公斤\n69.8kg\n69.8 (plain number)"
      },
      {
        "title": "2. Blood Sugar (血糖)",
        "body": "Habit ID: 4\nUnit: mg/dL\nRange: 50-500 mg/dL\n\nSupported formats:\n\n血糖120\n120 mg/dL"
      },
      {
        "title": "3. Running Time (跑步機)",
        "body": "Habit ID: 2\nUnit: minutes\n\nSupported formats:\n\n跑步機30分\n跑步30"
      },
      {
        "title": "Automatic Detection Flow",
        "body": "Receive message from WhatsApp or other channel\nRun script with message text: python3 scripts/record_health_data.py \"<message>\"\nExtract metrics using regex patterns\nValidate values are in reasonable ranges\nRecord to AX3 via mcporter call to ax3-personal.record_habit\nConfirm with user showing what was recorded"
      },
      {
        "title": "Example Usage",
        "body": "# Single metric\npython3 scripts/record_health_data.py \"體重69.8公斤\"\n# Output: ✅ 體重 69.8 kg 已記錄\n\n# Multiple metrics in one message\npython3 scripts/record_health_data.py \"體重69.8公斤 血糖120\"\n# Output: \n# ✅ 體重 69.8 kg 已記錄\n# ✅ 血糖 120 mg/dL 已記錄"
      },
      {
        "title": "Integration Pattern",
        "body": "When a user sends a health-related message:\n\nCall the script with the message text\nParse the JSON output to check if data was detected\nIf detected, respond with confirmation (e.g., \"收到！69.8 kg 已記錄 📝\")\nIf not detected, reply normally without mentioning the skill"
      },
      {
        "title": "Error Handling",
        "body": "The script includes validation:\n\nOut of range values are ignored (e.g., weight of 500kg won't be recorded)\nInvalid formats are silently skipped\nmcporter failures are captured and returned in the JSON output"
      },
      {
        "title": "scripts/record_health_data.py",
        "body": "Python script that handles:\n\nPattern matching for various health data formats\nValue validation and range checking\nAX3 API calls via mcporter\nJSON output for programmatic integration\n\nThe script can be called directly or integrated into message handling workflows."
      }
    ],
    "body": "Health Auto Log\nOverview\n\nAutomatically detect health metrics from user messages and record them to AX3 Personal system. Supports weight, blood sugar, and exercise time tracking with flexible input formats.\n\nWhen to Use This Skill\n\nTrigger this skill when user messages contain:\n\nWeight measurements (e.g., \"體重69.8公斤\", \"69.8kg\", \"69.8\")\nBlood sugar readings (e.g., \"血糖120\", \"120 mg/dL\")\nExercise time (e.g., \"跑步機30分\", \"跑步30\")\nQuick Start\n\nUse the record_health_data.py script to process any message:\n\npython3 scripts/record_health_data.py \"體重69.8公斤\"\n\n\nThe script will:\n\nExtract health metrics from the message\nValidate the values are within reasonable ranges\nRecord to AX3 using mcporter\nReturn confirmation with record IDs\nSupported Metrics\n1. Weight (體重)\n\nHabit ID: 1\nUnit: kg\nRange: 40-200 kg\n\nSupported formats:\n\n體重69.8公斤\n69.8kg\n69.8 (plain number)\n2. Blood Sugar (血糖)\n\nHabit ID: 4\nUnit: mg/dL\nRange: 50-500 mg/dL\n\nSupported formats:\n\n血糖120\n120 mg/dL\n3. Running Time (跑步機)\n\nHabit ID: 2\nUnit: minutes\n\nSupported formats:\n\n跑步機30分\n跑步30\nWorkflow\nAutomatic Detection Flow\nReceive message from WhatsApp or other channel\nRun script with message text: python3 scripts/record_health_data.py \"<message>\"\nExtract metrics using regex patterns\nValidate values are in reasonable ranges\nRecord to AX3 via mcporter call to ax3-personal.record_habit\nConfirm with user showing what was recorded\nExample Usage\n# Single metric\npython3 scripts/record_health_data.py \"體重69.8公斤\"\n# Output: ✅ 體重 69.8 kg 已記錄\n\n# Multiple metrics in one message\npython3 scripts/record_health_data.py \"體重69.8公斤 血糖120\"\n# Output: \n# ✅ 體重 69.8 kg 已記錄\n# ✅ 血糖 120 mg/dL 已記錄\n\nIntegration Pattern\n\nWhen a user sends a health-related message:\n\nCall the script with the message text\nParse the JSON output to check if data was detected\nIf detected, respond with confirmation (e.g., \"收到！69.8 kg 已記錄 📝\")\nIf not detected, reply normally without mentioning the skill\nError Handling\n\nThe script includes validation:\n\nOut of range values are ignored (e.g., weight of 500kg won't be recorded)\nInvalid formats are silently skipped\nmcporter failures are captured and returned in the JSON output\nResources\nscripts/record_health_data.py\n\nPython script that handles:\n\nPattern matching for various health data formats\nValue validation and range checking\nAX3 API calls via mcporter\nJSON output for programmatic integration\n\nThe script can be called directly or integrated into message handling workflows."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/klcintw/health-auto-log",
    "publisherUrl": "https://clawhub.ai/klcintw/health-auto-log",
    "owner": "klcintw",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/health-auto-log",
    "downloadUrl": "https://openagent3.xyz/downloads/health-auto-log",
    "agentUrl": "https://openagent3.xyz/skills/health-auto-log/agent",
    "manifestUrl": "https://openagent3.xyz/skills/health-auto-log/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/health-auto-log/agent.md"
  }
}