Consumable Restock Receipt Checker
Check whether the amounts in your stock counts and purchase receipts agree.
Short-term rental operations
Trace the links between items in your cleaner messages and return receipts.
A downloadable skill for your AI agent.
Unconfirmed handover steps.
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.
Cleaner messages and return receipts. 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 Lost Property Chain-of-Custody Note skill. Review the attached records: cleaner messages and return receipts. Prepare this result: unconfirmed handover steps. 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 follows the links you supply between items. Missing links and circular chains stay visible, so you can see what needs another check.
Cleaner messages and return receipts.
For this task, keep one review row for each property item + custody step. Record finder, handover recipient, shipping receipt, and confirmation. Keep the source location beside each value.
Separate guest promises from completed service. Join booking dates to the correct property and turnover. Retain exact image hashes when checking reuse.
Account for local time zones, laundry turnaround, access windows, and same-day occupancy. Do not infer cleaning quality from file presence.
Graph consistency does not establish full traceability, custody, quantity conservation, or dependency completion. Check those facts separately in the source-linked report.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Sample record | node: node-A; parents: node-B |
|---|---|
| Sample record | node: node-B; parents: node-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": "property item + custody step / SYNTHETIC-001", "node": "node-A", "parents": ["node-B"]}{"id": "r2", "key": "property item + custody step / SYNTHETIC-001", "node": "node-B", "parents": ["node-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 cleaner messages and return receipts. Confirm the case, period, and source versions before the review.
Use property, stay, turnover, room or task to keep records distinct. The agent records the original value, an exact quote, and the source location.
Follow the supplied parent links and report missing parents or cycles. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: unconfirmed handover steps. 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.