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autonomous-bookkeeper

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.

作者: admin | 来源: ClawHub
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V 1.0.0
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autonomous-bookkeeper

# 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: ```bash 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: ```bash 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: ```json { "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.

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skill ai

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⬇ 下载 autonomous-bookkeeper v1.0.0

文件大小: 4.64 KB | 发布时间: 2026-4-17 19:13

v1.0.0 最新 2026-4-17 19:13
autonomous-bookkeeper v1.0.0

- Initial release of the autonomous-bookkeeper meta-skill.
- Orchestrates Gmail, DeepRead OCR, Stripe, and Xero for automated invoice intake, field extraction, payment verification, accounting entry, and traceability.
- Implements quality gates, manual review safeguards, and audit trail preservation before any posting.
- Requires configuration of input policies (currency, vendor rules, matching tolerances, posting policies, attachment handling).
- Provides output summaries for intake, extraction, payment verification, accounting actions, and review queue results.

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