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DeepRead Shipping Documents

作者 DeepRead.tech · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
1
版本数
在 OpenClaw 中安装
/install deepread-shipping-docs
功能描述
Extract structured data from bills of lading, packing lists, and shipping manifests — shipper, consignee, carrier, tracking, containers, line items, weights...
使用说明 (SKILL.md)

DeepRead Shipping Documents

Turn bills of lading, packing lists, and shipping manifests into clean, typed JSON — shipper, consignee, carrier, tracking/BOL numbers, containers, and itemized contents with weights — with a needs_review flag on every field. Logistics paperwork, finally machine-readable.

This skill instructs the agent to POST documents to https://api.deepread.tech and poll for results. No system files are modified.

What You Get Back

{
  "schema_version": "dp02",
  "status": "completed",
  "extraction": {
    "fields": [
      {"key": "bol_number", "value": "BOL-99213", "needs_review": false, "location": {"page": 1}},
      {"key": "carrier", "value": "Blue Ocean Freight", "needs_review": false, "location": {"page": 1}},
      {"key": "shipper", "value": "Globex Mfg, Shenzhen", "needs_review": false, "location": {"page": 1}},
      {"key": "consignee", "value": "Initech Inc, Austin TX", "needs_review": false, "location": {"page": 1}},
      {"key": "ship_date", "value": "2026-03-28", "needs_review": false, "location": {"page": 1}},
      {"key": "container_numbers", "value": ["MSKU7654321"], "needs_review": false, "location": {"page": 1}},
      {"key": "total_weight_kg", "value": 1840.5, "needs_review": false, "location": {"page": 1}},
      {"key": "items", "value": [
        {"description": "Widgets, palletized", "quantity": 40, "weight_kg": 1600.0},
        {"description": "Spare parts", "quantity": 6, "weight_kg": 240.5}
      ], "needs_review": false, "location": {"page": 1}}
    ]
  }
}

Setup

open "https://www.deepread.tech/dashboard/?utm_source=clawhub"
export DEEPREAD_API_KEY="sk_live_your_key_here"

Schema

{
  "type": "object",
  "properties": {
    "document_type":  {"type": "string", "description": "Bill of Lading, Packing List, or Manifest"},
    "bol_number":     {"type": ["string","null"], "description": "Bill of lading / tracking number"},
    "carrier":        {"type": ["string","null"], "description": "Carrier / freight company"},
    "shipper":        {"type": "string", "description": "Shipper name and origin"},
    "consignee":      {"type": "string", "description": "Consignee name and destination"},
    "ship_date":      {"type": ["string","null"], "description": "Ship date (YYYY-MM-DD)"},
    "container_numbers": {"type": "array", "items": {"type": "string"}, "description": "Container / seal numbers"},
    "total_weight_kg":{"type": ["number","null"], "description": "Total gross weight in kg"},
    "incoterms":      {"type": ["string","null"], "description": "Incoterms, e.g. FOB, CIF"},
    "items": {
      "type": "array",
      "description": "Itemized contents",
      "items": {"type": "object", "properties": {
        "description": {"type": "string", "description": "Item / commodity description"},
        "quantity":    {"type": ["number","null"], "description": "Quantity / packages"},
        "weight_kg":   {"type": ["number","null"], "description": "Weight in kg"}
      }, "required": ["description"]}
    }
  }
}

Extract (cURL)

curl -s -X POST https://api.deepread.tech/v1/process \
  -H "X-API-Key: $DEEPREAD_API_KEY" \
  -F "[email protected]" \
  -F 'schema={"type":"object","properties":{"bol_number":{"type":"string"},"carrier":{"type":"string"},"shipper":{"type":"string"},"consignee":{"type":"string"},"items":{"type":"array","items":{"type":"object","properties":{"description":{"type":"string"},"quantity":{"type":"number"}}}}}}'

Use Cases

  • Freight & logistics — capture BOLs and manifests into a TMS without rekeying
  • Customs & compliance — extract commodities, weights, and incoterms for filings
  • Warehouse receiving — reconcile packing lists against received goods
  • Supply-chain visibility — track containers and shipments across documents

Tips

  • container_numbers as an array handles multi-container shipments cleanly.
  • Recurring carrier format? Build a blueprint at https://www.deepread.tech/dashboard/optimizer.
  • Check needs_review — handwritten weights/quantities are the usual flags.

Related DeepRead Skills

  • deepread-invoice — commercial invoices for shipments — clawhub install uday390/deepread-invoice
  • deepread-purchase-orders — match shipments to POs — clawhub install uday390/deepread-purchase-orders
  • deepread-ocr — general extraction — clawhub install uday390/deepread-ocr

Support


Get started free: https://www.deepread.tech/dashboard/?utm_source=clawhub

安全使用建议
Install only in a trusted ClawHub maintainer environment. Review the autoreview helper before use, prefer --no-yolo unless full unsandboxed nested review is truly needed, and run staff moderation, email, package transfer, and production migration commands only with explicit user/operator approval and the documented dry-run, backup, and audit controls.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The artifacts are coherent for ClawHub maintenance, Convex development, migrations, auth setup, performance audits, and staff moderation. High-impact actions such as user bans, role changes, package transfers, staff email, and production migrations are explicitly tied to those purposes.
Instruction Scope
Most high-impact workflows include clear gates such as explicit targets, reasons, confirmations, dry runs, backups, and audit logging. The material exception is the autoreview helper, which defaults to running nested Codex with approval and sandbox bypass flags, an overbroad authority level for a review workflow even though it is disclosed and has a --no-yolo opt-out.
Install Mechanism
I found no hidden install-time persistence or obfuscated setup in the skill directories. Package install and npx commands are presented as user/workflow steps, not concealed execution.
Credentials
Use of ClawHub admin auth, GitHub CLI, Convex tools, provider credentials, and production deployment access is expected for the stated maintainer and Convex workflows, but these should be limited to trusted operators and repos.
Persistence & Privilege
The moderation and auth flows rely on local CLI auth tokens and privileged server APIs, and the autoreview script can launch a nested full-access agent process. I did not find evidence of stealth persistence, credential theft, or exfiltration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install deepread-shipping-docs
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /deepread-shipping-docs 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Extract shipper, consignee, carrier, BOL/tracking, containers, and itemized contents with weights from bills of lading and packing lists. Per-field confidence flags.
元数据
Slug deepread-shipping-docs
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

DeepRead Shipping Documents 是什么?

Extract structured data from bills of lading, packing lists, and shipping manifests — shipper, consignee, carrier, tracking, containers, line items, weights... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 35 次。

如何安装 DeepRead Shipping Documents?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepread-shipping-docs」即可一键安装,无需额外配置。

DeepRead Shipping Documents 是免费的吗?

是的,DeepRead Shipping Documents 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

DeepRead Shipping Documents 支持哪些平台?

DeepRead Shipping Documents 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 DeepRead Shipping Documents?

由 DeepRead.tech(@uday390)开发并维护,当前版本 v1.0.0。

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