Short-Paid Freight Reason Decoder
Check whether the amounts in your remittance advice and invoice agree.
Freight billing
Recheck the figures in your supplied contract exclusions and time logs against the rules you supply.
A downloadable skill for your AI agent.
Calculation with explicitly excluded periods.
Source references, missing information, and questions to review stay with the findings.
Open your download and follow the start guide. Use an AI agent that can load skill files and run the included tools.
Supplied contract exclusions and time logs. Confirm the case and period you want to check.
Copy the request below into your agent. Add the files and any task details it needs.
Check the findings against the original records. Choose where to save the report and follow up on open questions.
Use the Detention Free-Time Exclusion Sheet skill. Review the attached records: supplied contract exclusions and time logs. Prepare this result: calculation with explicitly excluded periods. Include a source reference for each finding. List missing information and questions that need my review. Ask me to confirm the scope and where to save the report before you start.
It records the rule and the values used in each calculation. It works out the expected amount and compares it with the reported amount.
Supplied contract exclusions and time logs.
For this task, keep one review row for each load + detention calculation. Record arrival, release, free time, excluded duration, and rate. Keep the source location beside each value.
Preserve the rate confirmation, appointment, arrival, release, and delivery evidence. Identify which carrier agreement and revision governs each charge.
Use explicit time zones, free-time rules, weights, units, currencies, and charge rates. A carrier claim is not proof of service.
The helper validates arithmetic, not the legal or business rule. It does not infer a formula, evaluate spreadsheet functions, or round silently. Use a sourced tolerance for rounding comparisons.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Sample record | expression: quantity * rate; variables: quantity: 4; rate: 25.00; observed: 101.00; unit: example units |
|---|
A difference needs review
This result comes from the checking tool in your download.
These are synthetic records from the bundled example.
Synthetic rule: amount = quantity * rate; no tolerance. Not customer evidence.{"expression": "quantity * rate", "id": "r1", "key": "load + detention calculation / SYNTHETIC-001", "observed": "101.00", "rule_source_id": "rule", "unit": "synthetic-unit", "variables": {"quantity": "4", "rate": "25.00"}}After purchase, extract the ZIP. Run these commands from the skill folder. Use a new output folder.
python3 scripts/checks.py
python3 scripts/audit.py assets/example.json \
--files-root assets/sample-files --output-dir example-result
Expected exit code: 1. Code 0 means no helper finding. Code 1 means a finding or review item. Code 2 means incomplete or invalid input.
The check uses the records you supply. Review each finding against the original documents.
Ask your agent to save the completed task report in a folder you choose. The report template includes the result, source references, missing information, and next actions.
Tonotes does not receive your work documents through this website. Documents you share with an AI service follow that service's storage settings.
US$11 includes one skill in a ZIP with 18 files. You receive the instructions and tools to run the task with your own records.
Use an agent that supports SKILL.md instructions and Python 3.10 or later with SQLite. Your AI-agent service is separate.
Start with supplied contract exclusions and time logs. Confirm the case, period, and source versions before the review.
Use load, carrier, stop, charge type, invoice revision to keep records distinct. The agent records the original value, an exact quote, and the source location.
Apply the supplied formula and compare the calculated amount with the reported amount. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: calculation with explicitly excluded periods. Include missing evidence, unresolved questions, and the next action for each open item.
Eight synthetic cases check the tool locally. Live-agent accuracy on real documents has not been tested.