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Agent Skill · 研究检索

bookkeeper(bookkeeper 邮件管理)

bookkeeper 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

bookkeeper 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,500。

总安装 25,724周安装 1,105GitHub Stars 公开资料未说明下载 9,017核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bookkeeper(bookkeeper 邮件管理)
来源仓库:https://github.com/h4gen/bookkeeper
安装命令:
openclaw skills install bookkeeper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bookkeeper

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

自动从 Gmail 接收发票,通过 OCR 提取数据,在 Stripe 中验证付款,并在 Xero 中创建可调节的会计条目。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install bookkeeper;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bookkeeper 怎么安装?

在终端执行 openclaw skills install bookkeeper。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bookkeeper 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

bookkeeper 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

bookkeeper 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bookkeeper 用的人多吗?

公开数据是累计安装 25,724 次,近一周安装 1,105 次,下载 9,017 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

bookkeeper 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
bookkeeper

bookkeeper 邮件管理 · 本页

25,724—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
autonomous-bookkeeper
description
Meta-skill for pre-accounting automation by orchestrating gmail, deepread-ocr, stripe-api, and xero. Use when users need invoice intake from email, structured field extraction, payment verification, and accounting entry creation with reconciliation-ready status.
homepage
https://clawhub.ai
user-invocable
true
disable-model-invocation
false
metadata
{"openclaw":{"emoji":"ledger","requires":{"bins":["python3","npx"],"env":["MATON_API_KEY","DEEPREAD_API_KEY"],"config":[]},"note":"Requires local installation of gmail, deepread-ocr, stripe-api, and xero."}}

Purpose

Automate preparatory bookkeeping from incoming email to accounting records.

Core objective:

  1. detect invoice email,
  2. extract structured invoice data,
  3. verify payment event,
  4. create accounting entry and reconciliation status.

This is orchestration logic across upstream tools; it is not a replacement for financial controls.

Required Installed Skills

  • gmail (inspected latest: 1.0.6)
  • deepread-ocr (inspected latest: 1.0.6)
  • stripe-api (inspected latest: 1.0.8)
  • xero (inspected latest: 1.0.4)

Install/update:

npx -y clawhub@latest install gmail
npx -y clawhub@latest install deepread-ocr
npx -y clawhub@latest install stripe-api
npx -y clawhub@latest install xero
npx -y clawhub@latest update --all

Required Credentials

  • MATON_API_KEY (for Gmail, Stripe, Xero through Maton gateway)
  • DEEPREAD_API_KEY (for OCR extraction)

Preflight:

echo "$MATON_API_KEY" | wc -c
echo "$DEEPREAD_API_KEY" | wc -c

If missing, stop before any bookkeeping action.

Inputs the LM Must Collect First

  • company_base_currency
  • invoice_keywords (default: invoice, rechnung, receipt, quittung)
  • vendor_rules (for example AWS -> Hosting expense account)
  • date_tolerance_days for matching (default: 3)
  • amount_tolerance (default: exact, or configurable small tolerance)
  • auto_post_policy (manual-review, auto-if-high-confidence)
  • attachment_policy (store-link, attach-binary-if-supported)

Do not auto-post financial records without explicit policy.

Tool Responsibilities

Gmail (gmail)

Use for intake and attachment discovery.

Relevant behavior:

  • query messages with Gmail operators (for example has:attachment, subject:invoice, sender filters)
  • fetch message metadata and full payload for parsing
  • label/update messages after processing (for traceability)

DeepRead OCR (deepread-ocr)

Use for extracting structured fields from invoice PDFs/images.

Relevant behavior:

  • async processing (queued -> completed/failed)
  • schema-driven extraction
  • field-level hil_flag and reason for uncertainty
  • webhook or polling modes

Stripe (stripe-api)

Use for payment-side verification.

Relevant behavior:

  • query charges/payment_intents/invoices/balance transactions
  • verify amount, currency, status, and date proximity

Xero (xero)

Use for accounting record creation and payment/reconciliation visibility.

Relevant behavior:

  • create contacts if missing
  • create invoices/bills (ACCPAY for payable bills)
  • list payments and bank transactions

Canonical Signal Chain

Stage 1: Inbox detection

Scan Gmail for candidate invoice emails.

Recommended query pattern:

  • has:attachment (subject:invoice OR subject:rechnung OR subject:receipt OR subject:quittung)
  • optional sender constraint for known vendors (for example from:aws)

Output:

  • message ID
  • sender
  • received date
  • attachment candidates

Stage 2: Attachment extraction

For each invoice candidate attachment:

  1. send file to DeepRead OCR with invoice schema
  2. wait for async completion (webhook preferred; polling fallback)
  3. parse structured result

Minimum extracted fields:

  • vendor
  • invoice_date
  • invoice_number
  • total_amount
  • tax_amount
  • currency

Quality gate:

  • if critical fields have hil_flag=true, route to review queue before posting.

Stage 3: Payment verification

Use Stripe to check whether corresponding payment occurred.

Matching policy:

  • amount equals invoice total (within tolerance)
  • currency matches
  • date within tolerance window
  • status is successful/paid

If multiple candidates match, mark as ambiguous_match and require review.

Stage 4: Accounting write

Use Xero for booking.

Default payable flow:

  1. ensure vendor contact exists (create if needed)
  2. create bill entry (Type: ACCPAY) with line item category (for example Hosting)
  3. mark as paid/reconciled state only when Stripe verification is confident
  4. include reference fields: invoice number, source message ID, payment reference

Attachment handling:

  • if binary attachment endpoint/path is available in the active integration, attach file
  • otherwise store durable file reference and include link/reference in description/metadata

Stage 5: Traceability updates

After successful processing:

  • apply Gmail processed label
  • store processing log (source email, extraction confidence, matching evidence, xero IDs)
  • keep idempotency key to avoid duplicate posting

Scenario Mapping (AWS Invoice)

For the scenario "AWS invoice by email -> Xero + card match":

  1. Gmail finds AWS email with PDF attachment.
  2. DeepRead OCR extracts structured fields (vendor/date/total/tax/invoice number).
  3. Stripe check confirms payment event around invoice date and amount.
  4. Xero creates payable entry (ACCPAY) under Hosting category.
  5. Record is marked paid only after confident match; source PDF linked/attached per policy.

Data Contract

Normalize to one transaction record before posting:

{
  "source": {
    "gmail_message_id": "...",
    "sender": "billing@aws.amazon.com",
    "attachment_name": "invoice.pdf"
  },
  "invoice": {
    "vendor": "AWS",
    "invoice_number": "INV-123",
    "invoice_date": "2024-05-01",
    "total": 53.20,
    "tax": 0.00,
    "currency": "USD",
    "ocr_confidence_ok": true
  },
  "payment_match": {
    "provider": "stripe",
    "matched": true,
    "transaction_id": "ch_...",
    "amount": 53.20,
    "date": "2024-05-01"
  },
  "accounting": {
    "system": "xero",
    "entry_type": "ACCPAY",
    "category": "Hosting",
    "status": "Paid"
  }
}

Output Contract

Always return:

  • IntakeSummary

- emails scanned, invoice candidates found

  • ExtractionSummary

- extracted fields and hil_flag status

  • PaymentVerification

- matched/not matched + evidence

  • AccountingAction

- created/updated records and IDs

  • ReviewQueue

- any records requiring manual validation

Quality Gates

Before auto-posting:

  • vendor identified
  • invoice number/date/total present
  • no critical hil_flag unresolved
  • payment match confidence above policy threshold
  • duplicate check passed (same vendor + invoice number + total)

If any gate fails, return Needs Review and do not auto-post.

Guardrails

  • Never mark invoice as paid without payment evidence.
  • Never silently overwrite existing accounting records.
  • Never drop uncertain OCR fields; surface them explicitly.
  • Prefer manual review when amount/date ambiguity exists.
  • Preserve source audit trail for every booking action.

Failure Handling

  • Gmail unavailable: stop intake and report connection issue.
  • OCR job failed/timeout: keep email queued for retry.
  • Stripe no match: post as unpaid bill or route to review per policy.
  • Xero write failed: keep normalized record and retry safely with idempotency key.

Known Limits from Inspected Upstream Skills

  • DeepRead OCR is asynchronous and may require webhook/polling orchestration.
  • The inspected Xero skill docs emphasize core accounting endpoints but do not fully document attachment upload flow; attachment behavior depends on supported endpoint path in active integration.
  • Stripe/Xero matching is orchestration logic here, not a single native "auto-reconcile" endpoint in these inspected skill docs.
  • QuickBooks is not part of this researched stack; this meta-skill is Xero-first.

Treat these limits as mandatory operator disclosures.

平台分布

OpenClaw

70.6%
按下载量换算6,366

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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