DSAR Exemption Decision Evidence Link
Check your reviewer decisions and withheld records for missing supporting records.
Privacy request administration
Recheck the figures in your request dates and supplied applicable rule against the rules you supply.
A downloadable skill for your AI agent.
Cited deadline calculation.
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.
Request dates and supplied applicable rule. 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 DSAR Deadline Source Worksheet skill. Review the attached records: request dates and supplied applicable rule. Prepare this result: cited deadline calculation. 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 records the rule and the values used in each calculation. It works out the expected amount and compares it with the reported amount.
Request dates and supplied applicable rule.
For this task, keep one review row for each request + deadline rule. Record received date, supplied rule, extensions, and computed date. Keep the source location beside each value.
Maintain search scope, custodian responses, source provenance, redaction decisions, and release manifests. Preserve excluded and withheld records as reviewer decisions.
Use supplied applicable rules for timing and retention. Do not decide an exemption or release records on the basis of a partial check.
The helper validates arithmetic, not the legal or business rule. It does not infer a formula, evaluate spreadsheet functions, or round silently. Use a sourced tolerance for rounding comparisons.
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
Synthetic example records
| Sample record | expression: quantity * rate; variables: quantity: 4; rate: 25.00; observed: 101.00; unit: example units |
|---|
A difference needs review
This result comes from the checking tool in your download.
These are synthetic records from the bundled example.
Synthetic rule: amount = quantity * rate; no tolerance. Not customer evidence.{"expression": "quantity * rate", "id": "r1", "key": "request + deadline rule / SYNTHETIC-001", "observed": "101.00", "rule_source_id": "rule", "unit": "synthetic-unit", "variables": {"quantity": "4", "rate": "25.00"}}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 request dates and supplied applicable rule. Confirm the case, period, and source versions before the review.
Use request ID, verified subject ID, system, record, reviewer decision to keep records distinct. The agent records the original value, an exact quote, and the source location.
Apply the supplied formula and compare the calculated amount with the reported amount. Run the Python helper on the structured records. Check each finding against its source.
Prepare the task result: cited deadline calculation. 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.