{
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  "item": {
    "slug": "amazon-orders",
    "name": "Amazon Orders",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/pfernandez98/amazon-orders",
    "canonicalUrl": "https://clawhub.ai/pfernandez98/amazon-orders",
    "targetPlatform": "OpenClaw"
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    "downloadUrl": "/downloads/amazon-orders",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=amazon-orders",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
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    "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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      "summary": "Source download looks usable.",
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      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/amazon-orders"
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        "Review SKILL.md after the package is downloaded.",
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        "Validate the skill or prompts are available in your target agent workspace.",
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    "downloadPageUrl": "https://openagent3.xyz/downloads/amazon-orders",
    "agentPageUrl": "https://openagent3.xyz/skills/amazon-orders/agent",
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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": "amazon-orders Skill",
        "body": "Interact with your Amazon.com order history using the unofficial amazon-orders Python package and CLI.\n\nNote: amazon-orders works by scraping/parsing Amazon's consumer website, so it can break if Amazon changes their pages. Only the English Amazon .com site is officially supported."
      },
      {
        "title": "Install / upgrade",
        "body": "python3 -m pip install --upgrade amazon-orders\n\n(Install details and version pinning guidance are in the project README.)"
      },
      {
        "title": "Authentication options",
        "body": "amazon-orders can get credentials from (highest precedence first): environment variables, parameters passed to AmazonSession, or a local config.\n\nEnvironment variables:\n\nexport AMAZON_USERNAME=\"you@example.com\"\nexport AMAZON_PASSWORD=\"your-password\"\n# Optional: for accounts with OTP/TOTP enabled\nexport AMAZON_OTP_SECRET_KEY=\"BASE32_TOTP_SECRET\"\n\n(OTP secret key usage is documented by the project.)"
      },
      {
        "title": "Usage",
        "body": "You can use amazon-orders either as a Python library or from the command line."
      },
      {
        "title": "Python: basic usage",
        "body": "from amazonorders.session import AmazonSession\nfrom amazonorders.orders import AmazonOrders\n\namazon_session = AmazonSession(\"<AMAZON_EMAIL>\", \"<AMAZON_PASSWORD>\")\namazon_session.login()\n\namazon_orders = AmazonOrders(amazon_session)\n\n# Orders from a specific year\norders = amazon_orders.get_order_history(year=2023)\n\n# Or use a time filter for recent orders\norders = amazon_orders.get_order_history(time_filter=\"last30\")     # Last 30 days\norders = amazon_orders.get_order_history(time_filter=\"months-3\")   # Past 3 months\n\nfor order in orders:\n    print(f\"{order.order_number} - {order.grand_total}\")\n\nFull details (slower, more fields)\n\nSome order fields only populate when you request full details; enable it when you need richer order data:\n\nPython: full_details=True\nCLI: --full-details on history"
      },
      {
        "title": "CLI: common commands",
        "body": "# Authenticate (interactive / uses env vars if set)\namazon-orders login\n\n# Order history\namazon-orders history --year 2023\namazon-orders history --last-30-days\namazon-orders history --last-3-months"
      },
      {
        "title": "Tips",
        "body": "If your account has MFA enabled, prefer setting AMAZON_OTP_SECRET_KEY for automated runs.\nWhen automating, keep credentials out of shell history: use environment variables and a secret manager (1Password, Vault, GitHub Actions secrets, etc.)."
      },
      {
        "title": "Export yearly history to JSON",
        "body": "amazon-orders history --year 2023 --full-details > orders_2023.json"
      },
      {
        "title": "Quick totals check (requires jq)",
        "body": "amazon-orders history --last-30-days --full-details   | jq -r '.[] | [.order_number, .grand_total] | @tsv'"
      },
      {
        "title": "Notes",
        "body": "This is an unofficial scraper-based tool (no official Amazon API).\nOfficial docs are hosted on Read the Docs for advanced usage and APIs (Orders, Transactions, etc.)."
      }
    ],
    "body": "amazon-orders Skill\n\nInteract with your Amazon.com order history using the unofficial amazon-orders Python package and CLI.\n\nNote: amazon-orders works by scraping/parsing Amazon's consumer website, so it can break if Amazon changes their pages. Only the English Amazon .com site is officially supported.\n\nSetup\nInstall / upgrade\npython3 -m pip install --upgrade amazon-orders\n\n\n(Install details and version pinning guidance are in the project README.)\n\nAuthentication options\n\namazon-orders can get credentials from (highest precedence first): environment variables, parameters passed to AmazonSession, or a local config.\n\nEnvironment variables:\n\nexport AMAZON_USERNAME=\"you@example.com\"\nexport AMAZON_PASSWORD=\"your-password\"\n# Optional: for accounts with OTP/TOTP enabled\nexport AMAZON_OTP_SECRET_KEY=\"BASE32_TOTP_SECRET\"\n\n\n(OTP secret key usage is documented by the project.)\n\nUsage\n\nYou can use amazon-orders either as a Python library or from the command line.\n\nPython: basic usage\nfrom amazonorders.session import AmazonSession\nfrom amazonorders.orders import AmazonOrders\n\namazon_session = AmazonSession(\"<AMAZON_EMAIL>\", \"<AMAZON_PASSWORD>\")\namazon_session.login()\n\namazon_orders = AmazonOrders(amazon_session)\n\n# Orders from a specific year\norders = amazon_orders.get_order_history(year=2023)\n\n# Or use a time filter for recent orders\norders = amazon_orders.get_order_history(time_filter=\"last30\")     # Last 30 days\norders = amazon_orders.get_order_history(time_filter=\"months-3\")   # Past 3 months\n\nfor order in orders:\n    print(f\"{order.order_number} - {order.grand_total}\")\n\nFull details (slower, more fields)\n\nSome order fields only populate when you request full details; enable it when you need richer order data:\n\nPython: full_details=True\nCLI: --full-details on history\nCLI: common commands\n# Authenticate (interactive / uses env vars if set)\namazon-orders login\n\n# Order history\namazon-orders history --year 2023\namazon-orders history --last-30-days\namazon-orders history --last-3-months\n\nTips\nIf your account has MFA enabled, prefer setting AMAZON_OTP_SECRET_KEY for automated runs.\nWhen automating, keep credentials out of shell history: use environment variables and a secret manager (1Password, Vault, GitHub Actions secrets, etc.).\nExamples\nExport yearly history to JSON\namazon-orders history --year 2023 --full-details > orders_2023.json\n\nQuick totals check (requires jq)\namazon-orders history --last-30-days --full-details   | jq -r '.[] | [.order_number, .grand_total] | @tsv'\n\nNotes\nThis is an unofficial scraper-based tool (no official Amazon API).\nOfficial docs are hosted on Read the Docs for advanced usage and APIs (Orders, Transactions, etc.)."
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/pfernandez98/amazon-orders",
    "publisherUrl": "https://clawhub.ai/pfernandez98/amazon-orders",
    "owner": "pfernandez98",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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