Equipment Repair-versus-Replace History

Recheck the figures in your service costs and approved threshold against the rules you supply.

A downloadable skill for your AI agent.

Your result

Cost worksheet without decision automation.

Source references, missing information, and questions to review stay with the findings.

How to use it

  1. Add the skill to your AI

    Open your download and follow the start guide. Use an AI agent that can load skill files and run the included tools.

  2. Provide your records

    Service costs and approved threshold. Confirm the case and period you want to check.

  3. Ask for the report

    Copy the request below into your agent. Add the files and any task details it needs.

  4. Review and save

    Check the findings against the original records. Choose where to save the report and follow up on open questions.

Example request

Use the Equipment Repair-versus-Replace History skill. Review the attached records: service costs and approved threshold. Prepare this result: cost worksheet without decision automation. 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.

What it checks

It records the rule and the values used in each calculation. It works out the expected amount and compares it with the reported amount.

What you provide

Service costs and approved threshold.

Details it records

  • Accumulated service costs
  • Supplied threshold
  • Comparison amount
Read the full task logic

For this task, keep one review row for each asset + cost rule. Record accumulated service costs, supplied threshold, and comparison amount. Keep the source location beside each value.

Preserve symptoms, observed faults, work performed, parts, and unresolved questions separately. Track actual installation and return-to-service evidence.

A repeated part replacement does not establish root cause. Use supplied intervals and warranty terms, and retain uncertain meter readings.

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.

Example result

This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.

What you provide

Synthetic example records

Synthetic inputs for Equipment Repair-versus-Replace History
Sample recordexpression: quantity * rate; variables: quantity: 4; rate: 25.00; observed: 101.00; unit: example units

What comes back

A difference needs review

  • The reported amount differs from the amount calculated with the supplied rule.
Expected
100.00
Recorded
101.00
Difference
1.00

This result comes from the checking tool in your download.

Read the source records

These are synthetic records from the bundled example.

  • rule · fixture rule
    Synthetic rule: amount = quantity * rate; no tolerance. Not customer evidence.
  • source-r1 · records/r1
    {"expression": "quantity * rate", "id": "r1", "key": "asset + cost rule / SYNTHETIC-001", "observed": "101.00", "rule_source_id": "rule", "unit": "synthetic-unit", "variables": {"quantity": "4", "rate": "25.00"}}

Checked values

  • expected: 100.00; observed: 101.00; delta: 1.00; unit: synthetic-unit
Run this example

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.

What is saved

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.

A readable check report
The local checking tool can save its findings as report.md.
A data copy
The same check can be saved as report.json for use in other tools. A local audit database is optional.

Tonotes does not receive your work documents through this website. Documents you share with an AI service follow that service's storage settings.

Your download

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.

Setup and file details

Use an agent that supports SKILL.md instructions and Python 3.10 or later with SQLite. Your AI-agent service is separate.

Start guide: 1 file
START-HERE.md explains setup and the expected example result.
Agent instructions: 1 file
SKILL.md defines this task and its completion checks.
Task references: 4 files
The task guide, input contract, tools guide, and research notes.
Python tools: 4 files
Check records, convert CSV input, and run the local checks.
Examples and templates: 8 files
The input schema, synthetic cases, expected report, and report template.
  1. Collect the records

    Start with service costs and approved threshold. Confirm the case, period, and source versions before the review.

  2. Extract the task fields

    Use asset, meter reading, job, installed part, service date to keep records distinct. The agent records the original value, an exact quote, and the source location.

  3. Recheck the calculation

    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.

  4. Complete the report

    Prepare the task result: cost worksheet without decision automation. 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.