New Hire Payroll Intake Completeness
Check your supplied onboarding checklist and packet for missing supporting records.
Employee onboarding
Find where your signed receipts and policy register disagree.
A downloadable skill for your AI agent.
Outdated acknowledgement versions.
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.
Signed receipts and policy register. 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 Employee Handbook Acknowledgement Version skill. Review the attached records: signed receipts and policy register. Prepare this result: outdated acknowledgement versions. 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 puts records for the same item side by side. It keeps both original values when they differ, so you can check the source.
Signed receipts and policy register.
For this task, keep one review row for each worker + handbook version. Record required version, acknowledged version, and effective date. Keep the source location beside each value.
Map each required task to an owner and completion evidence. Keep access requests, grants, revocations, asset shipment, and receipt separate.
Use role templates and approved exceptions. A checklist tick does not prove account removal or equipment return.
A changed value does not show which source is correct. Semantic equivalence and identity aliases need an explicit mapping and review.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Starting record | required version: source-A |
|---|---|
| Record to check | required version: 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": "worker + handbook version / SYNTHETIC-001", "value": {"required version": "source-A"}}{"id": "o1", "key": "worker + handbook version / SYNTHETIC-001", "value": {"required version": "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 signed receipts and policy register. Confirm the case, period, and source versions before the review.
Use employee or contractor ID, role, start/end date, system or asset to keep records distinct. The agent records the original value, an exact quote, and the source location.
Match each item, then compare its supplied values. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: outdated acknowledgement versions. 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.