Home Visit Cancellation Code Drift
Find where your cancellation records and code dictionary disagree.
Home care scheduling
Find possible duplicate entries in your visit IDs and invoice lines.
A downloadable skill for your AI agent.
Repeated billed visit candidates.
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.
Visit IDs and invoice lines. 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 Home Care Duplicate Visit Billing skill. Review the attached records: visit IDs and invoice lines. Prepare this result: repeated billed visit candidates. 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 groups records with matching values. You review the proposed groups before deciding whether they describe the same event.
Visit IDs and invoice lines.
For this task, keep one review row for each visit + billed service signature. Record invoice line, visit ID, payer, and repeated charge. Keep the source location beside each value.
Compare planned visits, verified visits, authorizations, time records, and notifications. Record coverage attempts independently from successful coverage.
Use supplied travel durations and credential scope. A scheduling check does not establish that required care was provided.
A repeated signature is a candidate duplicate. Legitimate repeat events can have the same content. Do not delete, merge, or accuse a party automatically.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Sample record | invoice line: signature-A |
|---|---|
| Sample record | invoice line: signature-A |
A difference needs review
This result comes from the checking tool in your download.
These are synthetic records from the bundled example.
{"id": "r1", "key": "visit + billed service signature / SYNTHETIC-001", "value": {"invoice line": "signature-A"}}{"id": "r2", "key": "visit + billed service signature / SYNTHETIC-001", "value": {"invoice line": "signature-A"}}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 visit IDs and invoice lines. Confirm the case, period, and source versions before the review.
Use client ID, caregiver ID, visit ID, branch, time zone to keep records distinct. The agent records the original value, an exact quote, and the source location.
Group exact matching values and report duplicate candidates. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: repeated billed visit candidates. 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.