Lumper Receipt Load Identifier Check
Turn your receipts and load list into a review with clear source references.
Freight billing
See what changed in your carrier denial letters across facilities.
A downloadable skill for your AI agent.
Changing requested evidence grouped by facility.
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.
Carrier denial letters across facilities. 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 Facility Detention Evidence Requirement Drift skill. Review the attached records: carrier denial letters across facilities. Prepare this result: changing requested evidence grouped by facility. 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 compares the earlier and later records. It separates added, removed, and changed items and keeps a reference to each source.
Carrier denial letters across facilities.
For this task, keep one review row for each facility + evidence requirement. Record denial date, requested document, prior request, and effective scope. 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.
Extract each carrier denial's requested evidence by facility and effective date. Build the baseline and changed requirement sets from explicit text. Do not infer a new contractual rule from one denial. Report repeated requests and their source letters.
Use explicit time zones, free-time rules, weights, units, currencies, and charge rates. A carrier claim is not proof of service.
A change can be intentional. The engine does not determine approval, business impact, or which version should be used.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Starting record | denial date: source-A |
|---|---|
| Record to check | denial date: source-B |
A difference needs review
This result comes from the checking tool in your download.
These are synthetic records from the bundled example.
{"id": "e1", "key": "facility + evidence requirement / SYNTHETIC-001", "value": {"denial date": "source-A"}}{"id": "o1", "key": "facility + evidence requirement / SYNTHETIC-001", "value": {"denial date": "source-B"}}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 carrier denial letters across facilities. 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.
Compare the baseline with the later version using exact keys. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: changing requested evidence grouped by facility. 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.