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Report Audit
Reconcile sales reports against raw source data to flag discrepancies and invented numbers without human bias.
$5
Report Audit
Example session with this skill installed
Reconcile the August sales report in reports/aug-sales.csv against the bank export in data/bank-aug.csv. The report claims an ending cash of 15200.50 for Product Alpha.
- Read your context and instructions
- Compiled the report audit
- Generated the data export
The August sales report for Product Alpha has been audited against the provided bank export. A discrepancy was identified in the ending cash balance.
Audit Report: Product Alpha (2023-08)
Status: ready
Note: Not tax, legal, or investment advice.
Scope
Audit of aug-sales.csv for the period 2023-08. Sources used: buyer cash export. Sales and fees exports were unset.
Recon
| Line Item | Report (USD) | Source (USD) |
|---|---|---|
| Beginning Cash | 10,000.00 | 10,000.00 |
| Gross Sales | 5,500.00 | unset |
| Refunds | (150.00) | unset |
| Net Sales | 5,350.00 | unset |
| Fees | (120.00) | unset |
| Opex | 0.00 | 0.00 |
| Other | 0.00 | 0.00 |
| Ending Cash | 15,200.50 | 15,230.50 |
Arithmetic:
- Expected Ending: 10,000.00 (Source Start) + 0.00 (Source Net) - 0.00 (Fees) = 10,000.00
- Cash Delta: 15,200.50 - 15,230.50 = -30.00
- Tie Delta: 15,200.50 - 10,000.00 = 5,200.50
Plugs
ending plug: -30.00 (Report ending does not match source bank export).
Exceptions
cash_delta nonzero: The report claims $30.00 less than the bank export.source missing: Sales and fees exports were not provided; source net isunset.
Next steps
- Review
reports/aug-sales.csvfor a missing $30 transaction. - Provide
sales_export_pathto resolve theunsetnet sales totals. - Verify if a $30 bank fee was omitted from the report.
aug-sales.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Financial reports often disagree with bank exports and processor data, leaving developers and ops teams to hunt for discrepancies. Manually reconciling these totals is prone to human error, especially when "plugs" are used to force accounts to tie.
What it does
- Reconciles a single sales or cash report against raw source exports (bank, processor, fees).
- Calculates expected ending cash using verified gross sales, refunds, fees, and opex.
- Identifies and flags "plugs"—invented numbers or balancing lines that don't exist in source data.
- Generates a structured audit document with visible, replayable arithmetic for every line item.
- Enforces data privacy by stripping bank account numbers, routing IDs, and processor payout identifiers.
Why this beats prompting it yourself
General LLMs tend to "fix" financial discrepancies by inventing numbers or absorbing deltas into opex to please the user. This skill is hardcoded to refuse balancing the books, ensuring you see the raw truth of the data without hallucinated adjustments.
Use cases
- Verifying a monthly sales report against Stripe or bank exports.
- Auditing a specific product's performance for a defined calendar period.
- Identifying phantom fees or unrecorded refunds that prevent a clean month-end close.
- Generating an objective audit trail for internal compliance or crew handoffs.
Known limitations
Does not handle tax filings, legal advice, or multi-entity accounting. Requires specific data paths and cannot pull data directly from live bank or processor APIs.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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