AA bank-reconciliation-agent
Automate bank statement reconciliation against general ledger records. Upload or paste bank statements (CSV, OFX, QFX, or plain text) alongside GL export data, and the agent matches transactions, flags discrepancies, identifies unrecorded items, and produces a reconciliation report ready for sign-off. Supports multi-bank, multi-account reconciliation with adjusting entry suggestions. Integrates with QBO exports and standard GL formats. Use when: monthly close reconciliation, bank statement upload matching, investigating GL/bank discrepancies, catching duplicate payments, finding missed deposits, or producing the reconciliation worksheet for audit. NOT for: real-time bank feed automation (use QBO bank rules), tax preparation, payroll reconciliation, intercompany eliminations, or investment account reconciliation (brokerage/crypto — use crypto-tax-agent).
As a process A 80/100 · Runs to the end — weak spots: running it twice, progress reporting
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 80/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 58 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2098 tokens
- low 13 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Description length 865: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 19 headings
- +3Step-by-step instructions: 58 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.