Dental Staff Handoff Open-Loop Brief
Turn your front-desk notes and task log into a review with clear source references.
Dental office administration
Put the events in your account credits and invoices into date order.
A downloadable skill for your AI agent.
Aged credits needing review.
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.
Account credits and invoices. 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 Dental Unapplied Credit Aging Sheet skill. Review the attached records: account credits and invoices. Prepare this result: aged credits needing review. 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 checks the supplied dates and time zones before ordering events. Unclear dates remain marked for review.
Account credits and invoices.
For this task, keep one review row for each account + credit event. Record credit date, subsequent invoice, elapsed age, and unresolved balance. Keep the source location beside each value.
Use administrative fields and staff-supplied payer requirements. Track the exact claim version, EOB, authorization, referral, lab case, and required attachment.
Do not infer clinical necessity, treatment codes, or consent. Preserve uncertain identifiers and missing staff approvals.
The helper does not infer causation, missing events, elapsed business days, or clock offsets. Equal timestamps do not establish event order.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Sample record | at: 2026-10-31T09:00:00; event: credit date recorded |
|---|---|
| Sample record | at: 2026-10-31T10:00:00+02:00; event: Earlier UTC event |
More information is needed
This result comes from the checking tool in your download.
These are synthetic records from the bundled example.
{"at": "2026-10-31T09:00:00", "event": "credit date recorded", "id": "r1", "key": "account + credit event / SYNTHETIC-001"}{"at": "2026-10-31T10:00:00+02:00", "event": "Earlier UTC event", "id": "r2", "key": "account + credit event / SYNTHETIC-001"}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: 2. 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 account credits and invoices. Confirm the case, period, and source versions before the review.
Use patient record ID, claim, visit, payer, attachment to keep records distinct. The agent records the original value, an exact quote, and the source location.
Check date precision and time zones, then order valid events. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: aged credits needing review. 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.