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Tencent SkillHub ยท Productivity

Bookkeeper

Automates invoice intake from Gmail, extracts data via OCR, verifies payment in Stripe, and creates reconciliation-ready accounting entries in Xero.

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High Signal

Automates invoice intake from Gmail, extracts data via OCR, verifies payment in Stripe, and creates reconciliation-ready accounting entries in Xero.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/inspected-skills.md

Validation

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  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

Purpose

Automate preparatory bookkeeping from incoming email to accounting records. Core objective: detect invoice email, extract structured invoice data, verify payment event, 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.

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

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: send file to DeepRead OCR with invoice schema wait for async completion (webhook preferred; polling fallback) 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: ensure vendor contact exists (create if needed) create bill entry (Type: ACCPAY) with line item category (for example Hosting) mark as paid/reconciled state only when Stripe verification is confident 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": Gmail finds AWS email with PDF attachment. DeepRead OCR extracts structured fields (vendor/date/total/tax/invoice number). Stripe check confirms payment event around invoice date and amount. Xero creates payable entry (ACCPAY) under Hosting category. 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.

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • references/inspected-skills.md Docs