Clawhub Pkg

Double-entry, full-cycle accounting suite built for AI agents. Converts bank CSVs, OFX, and QBO files into balanced, auditable books — balance sheet, income statement, general ledger, trial balance. All data stays in a single local SQLite file.

Cware@737999

Install

openclaw skills install @737999/gridtrx

Skill: GridTRX Accounting

What it does

Use this skill when the user explicitly asks for bookkeeping work — "do the books," "categorize expenses," "import bank transactions," "run a balance sheet." Do not activate on casual mentions of money or finances, and confirm with the user before creating books or writing to existing ones. GridTRX is a full-cycle double-entry accounting engine. You prompt in plain English, and the agent completes the books correctly.

Destructive operations — confirm first. Before deleting transactions, re-importing, changing the lock date, or rewriting report layouts, tell the user exactly what you are about to do and get their OK. The engine has its own guardrails — deletions respect the lock date, every import is tagged as one batch, and each book is snapshotted daily on first open — but the agent's habit is still: state the action, confirm, then act. Every transaction balances. Every amount is deterministic. All data is local — no cloud services, no external APIs.

GridTRX produces a full set of auditable books: balance sheet, income statement, general ledger, trial balance, adjusting journal entries, and a perpetual retained-earnings statement. Reports are exportable to CSV and PDF for any time period.

Architecture

GridTRX has three interfaces to the same engine (models.py → books.db):

MCP Server (preferred for agents) — Structured JSON tools. 57 tools wrapping models.py directly. No text parsing, typed parameters, deterministic output.
CLI (fallback for agents, power users) — One-shot shell commands via python cli.py. Zero dependencies beyond Python 3.7+ standard library. Any terminal-based agent can drive it via subprocess.
Browser UI (for humans) — Flask web interface at localhost:5000 via python run.py. Ledger browsing, report viewer with drill-down, comparative reports up to 13 columns, bank import with rule preview, reconciliation marking, dark mode.

All three hit the same models.py data layer. Nothing is out of sync. Use MCP when available. Fall back to CLI otherwise. The browser UI is for human review.

Prerequisites

Install dependencies before first use (one-time setup):

bash

pip install -r requirements.txt

Or install individually: pip install mcp (MCP server), pip install flask (browser UI). The CLI has no dependencies beyond the Python 3.7+ standard library.

No packages are installed at runtime. All dependencies must be pre-installed.

MCP Setup

Add to the agent's MCP config with GRIDTRX_WORKSPACE set to the user's client folder:

json

{
  "command": "python",
  "args": ["/path/to/mcp_server.py"],
  "env": {"GRIDTRX_WORKSPACE": "/path/to/clients"}
}

GRIDTRX_WORKSPACE is mandatory — the MCP server will refuse to start without it. Any db_path outside the workspace is rejected at runtime. Every MCP tool takes db_path as its first parameter, which must resolve to a books.db file inside the workspace.

CLI Usage

text

GRIDTRX_WORKSPACE=/path/to/clients python cli.py /path/to/clients/acme/books.db <command>

Runs one command, prints plain text to stdout, exits. When GRIDTRX_WORKSPACE is set, the CLI enforces the same workspace boundary as the MCP server — paths outside the workspace are rejected.

Inputs needed

The absolute path to the client's books (books.db file or its parent folder).
The absolute path to the bank file (.csv, .ofx, or .qbo).
The bank account name to post against (typically BANK.CHQ for chequing).

Core concepts

Double-entry: Every transaction is a balanced zero-sum entry. Debits = Credits. Always.
Sign convention: Positive = Debit. Parentheses (1,500.00) = Credit. — = Zero.
Amounts: Stored as integer cents internally. Displayed as dollars with two decimals.
Account names: Case-insensitive, UPPER by convention. Common prefixes: BANK. EX. REV. AR. AP. GST. RE. SHL. — When importing a trial balance or creating accounts, ALWAYS use GridTRX naming. Never use numeric account codes. If the source data has numeric codes (1010, 5800, etc.), ignore the codes and map by description to the nearest GridTRX account name. If no match exists, create the account using the EX. or REV. prefix convention. Always call list_accounts first before creating anything.
EX.SUSP (Suspense): Where unrecognized transactions land. This is the triage queue. Tell the AI what the suspense items are and it will clear them. Or clear them yourself through the GUI.
Import rules: Keyword → account mappings. Case-insensitive match, highest priority wins. Optional tax code splits the amount into net + tax automatically.
Lock date: Prevents changes to closed periods. Check before importing historical data.
Architecture: Each client is one SQLite file. Copy it, back it up. It is confidential financial data — do not transmit it without the user's explicit approval. One data layer (models.py) — CLI, MCP server, and browser UI all call the same functions.

Workflow

Step 1: Initialize (if no books exist)

MCP: No direct tool — use exec to run CLI. CLI: python cli.py then new /path/to/folder "Company Name"

This creates books.db with a full chart of accounts (~60 posting accounts), four reports (BS, IS, AJE, TRX), sample import rules, and four tax codes. Always use starter books as the base — they include the critical perpetual retained earnings chain (IS → NI → RE on the BS, with RE.OB holding opening retained earnings; RE.OPEN/RE.CLOSE are computed Statement-of-RE display lines). Never build reports from scratch without this chain. The fiscal year end is set to the most recent one that has PASSED — the year-end being worked on — and posting stops there until you open the next (set_fiscal_settings(ceiling_mode='next')).

After setup, run validate to confirm the report chain is intact: CLI: python cli.py /path/to/books.db validate

Step 1b: Import Prior-Year Balances (Existing Business)

For existing businesses, you need the prior-year trial balance to set up opening balances AND prior-year comparatives. Source data (in priority order):

Formal prior-year trial balance (best — complete, balanced)
PY balance sheet + income statement (from financial statements)
Tax return schedules (CRA S100/S125, US Form 1120, etc.)
Accountant's working papers

IMPORTANT: Post both balance sheet AND income statement accounts. If you only post BS accounts, your PY comparative on the IS will be blank.

Process:

Create starter books (Step 1 above).
Post the whole conversion with one call — post_opening_balances. It creates TRX.OPEN on the TRX report, posts a 2-line entry per account against it (same date, reference OPEN), computes retained earnings as the residual and posts it to RE.OB, and leaves TRX.OPEN at 0.00. Atomic: a bad row posts nothing.
text
```
post_opening_balances(db_path, "2024-12-31", [
    {"account": "BANK.CHQ", "description": "Chequing", "amount": "33268.00"},
    {"account": "AP",       "description": "Payables", "amount": "(1000.00)"},
    {"account": "REV",      "description": "Sales",    "amount": "(84000.00)"},
], expected_retained_earnings="35065.00")
```
amount is a dollar string signed the way Grid displays: plain = debit, (1000.00) or -1000.00 = credit. One row per line of the PY trial balance.
Never pass retained earnings. It is computed and posted for you. RE, RE.OB, RE.OPEN, RE.CLOSE and EX.SUSP are refused, as is any account not in the chart (add it first). Never park a conversion in EX.SUSP and clear it down.
Pass expected_retained_earnings whenever the prior-year statements are to hand — the post then refuses unless the computed residual ties to it. That is the check that catches a transposed or missing figure.
Which RE figure comes out depends on what you posted:
- Balance sheet only → retained earnings brought forward (closing RE).
- Full TB including IS accounts → retained earnings at the start of that year (T2 line 3660, not 3600); PY net income reaches closing RE through the IS chain on its own. Post the full TB when you want a prior-year comparative on the IS, and post DIVPAID (line 3701) too if dividends were paid.
Check with opening_balances_status(db_path). Wrong? delete_opening_balances(db_path) and post it again — Grid does not adjust a bad conversion, it redoes it. TRX.OPEN lives on the TRX report; open it to see every opening balance that was loaded.
Proceed to Step 2 (import current-year bank data).

Humans do exactly the same thing through the browser: Grid notices a set of books with nothing posted and offers Enter opening balances, which opens a 25-line grid over the TRX ledger with the retained-earnings figure computed live at the bottom. Same model code, same guards, same atomic batch.

Step 2: Import data

Bulk import decision rule

Data source	Tool	Notes
Bank CSV (3-col: Date, Description, Amount)	`import_csv`	Rule-based categorization, unmatched → EX.SUSP
Bank OFX/QBO	`import_ofx`	Rule-based categorization, FITID dedup
GL export / system conversion (4-col: Date, Description, Amount, CrossAccount)	`import_gl`	Cross-account specified per row, no rules needed
CaseWare AJE (IIF or Venice)	`import_aje`	Routes through journal account
Single manual entry	`post_transaction`	One at a time only

Never call post_transaction in a loop to import bank data. Use the appropriate bulk tool.

Bank CSV / OFX import

MCP (preferred):

CSV: import_csv(db_path, csv_path, "BANK.CHQ")
OFX/QBO: import_ofx(db_path, ofx_path, "BANK.CHQ")

CLI fallback:

CSV: python cli.py /path/to/books.db importcsv /path/to/file.csv BANK.CHQ
OFX: python cli.py /path/to/books.db importofx /path/to/file.qbo BANK.CHQ

CSV format required: 3 columns — Date, Description, Amount. Deposits positive, withdrawals negative. Header row optional. The import applies all rules automatically. Check the result summary: posted, skipped, to_suspense.

General ledger import (system conversion)

MCP: import_gl(db_path, csv_path, "BANK.CHQ")

CSV format required: 4 columns — Date, Description, Amount, CrossAccount. Positive = debit to the primary account, negative = credit. All cross-accounts must already exist in the chart of accounts. No import rules are applied — the cross-account column is used directly.

Use this when converting from another accounting system (QuickBooks GL, Sage, etc.) where every transaction already has its cross-account known. Prepare one CSV per primary account (bank, credit card, etc.) per fiscal year.

CaseWare AJE import

MCP: import_aje(db_path, file_path, "25AJE")
CLI: python cli.py /path/to/books.db importaje /path/to/aje_export.iif 25AJE
Supports QuickBooks IIF and Venice/MYOB text formats. Maps CsW account descriptions to Grid account codes.

Step 3: Audit suspense

MCP: get_ledger(db_path, "EX.SUSP") CLI: python cli.py /path/to/books.db ledger EX.SUSP

Every entry here is an unrecognized transaction. Note the description and transaction ID for each.

Step 4: Resolve suspense with the user

Present each suspense item to the user. Ask: "What category is this?"

Do NOT guess. If the description is ambiguous (e.g., "AMAZON", "BEST BUY", "TRANSFER"), ask the user for business context before categorizing.

Once the user answers, add a rule so future imports are automatic:

MCP: add_rule(db_path, "AMAZON", "EX.OFFICE", "G5", 0) CLI: python cli.py /path/to/books.db addrule AMAZON EX.OFFICE G5 0

Tax code is optional. Common codes: G5 (GST 5%), H13 (HST 13%), H15 (HST 15%), E (exempt).

Step 5: Clear the bad suspense entries and re-import

Show the user the list of suspense transactions you intend to replace and get their OK. Then delete them and re-import so the new rules apply:

MCP: delete_transaction(db_path, txn_id) for each, then import_csv(...) or import_ofx(...) again. CLI: python cli.py /path/to/books.db delete <txn_id> for each, then re-run the import command.

Repeat Steps 3-5 until suspense is empty.

Step 6: Verify and report

MCP:

trial_balance(db_path) — debits must equal credits
generate_report(db_path, "BS") — Balance Sheet
generate_report(db_path, "IS") — Income Statement

CLI:

python cli.py /path/to/books.db tb
python cli.py /path/to/books.db report BS
python cli.py /path/to/books.db report IS

Step 7: Moving into the next fiscal year

There is no year-end close and no rollforward — retained earnings is perpetual and the IS Opening/Closing RE lines (RE.OPEN/RE.CLOSE) are computed automatically as the perpetual RE balance at the period start/end. To move into the next year:

(Optional) Lock the finished year: set lock_date to the fiscal year-end so it can't be edited.
Move the working year-end forward: set_fiscal_settings(working_year_end=...) so post-YE dates can be posted.

Opening retained earnings for the new year is simply the perpetual RE as of the prior year-end, re-derived on every report — no journal entry. Then repeat from Step 2 for the next fiscal year. Prior-period adjustments are ordinary dated postings; they re-derive opening and closing RE on their own.

Multi-year backfill protocol

When importing multiple fiscal years of historical data (perpetual RE — no rollforward between years):

Check the ceiling: get_info(db_path) — note fy_ceiling. It must be ≥ your LATEST row date. Set working_year_end to the newest year-end you are loading (set_fiscal_settings, CLI fye, or Options → Global Options) so no rows get blocked. Older years all fall below it.
Prepare per-FY CSVs: One CSV per primary account per fiscal year, each containing only that FY's date range.
Import oldest → newest: Use import_gl (4-col) or import_csv/import_ofx for each account, earliest fiscal year first. Every date is ≤ the ceiling, so nothing is skipped. RE accumulates perpetually as you go — opening/closing RE for each year are re-derived automatically.
(Optional) Lock finalized years: set_lock_date(db_path, "YYYY-MM-DD") on each completed prior year so it can't be edited.

Example (3-year backfill, Dec 31 FY, working year-end already 2024-12-31):