Equipment Maintenance Log

Track lab equipment calibration dates and send maintenance reminders for pipettes, balances, centrifuges, and other instruments. Validates date formats and supports update/delete operations.

Track calibration dates for pipettes, balances, centrifuges and send maintenance reminders.

Quick Check

bash

python -m py_compile scripts/main.py

Audit-Ready Commands

bash

python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py --add "Pipette P100" --calibration-date 2024-01-15 --interval 12

When to Use

• Track lab equipment calibration schedules
• Check for overdue or upcoming maintenance
• Generate maintenance reminder reports
• Maintain compliance records for audits

Workflow

1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Parameters

Parameter	Type	Required	Description
--add	string	*	Equipment name to add
--calibration-date	string	*	Last calibration date (YYYY-MM-DD format required)
--interval	int	*	Calibration interval in months
--location	string	No	Equipment location
--update	string	**	Equipment name to update calibration date
--delete	string	**	Equipment name to remove from log
--check	flag	**	Check for upcoming maintenance
--list	flag	**	List all equipment
--report	flag	**	Generate compliance report (JSON)

* Required when adding or updating equipment ** Alternative operations (mutually exclusive with --add)

Date validation: --calibration-date must be in YYYY-MM-DD format. Invalid dates (e.g., 2024-13-45) are rejected at input time with a clear error message. The script validates the date before storing it.

Usage

bash

# Add equipment
python scripts/main.py --add "Pipette P100" --calibration-date 2024-01-15 --interval 12

# Add with location
python scripts/main.py --add "Balance XS205" --calibration-date 2024-03-01 --interval 6 --location "Lab 3B"

# Check maintenance status
python scripts/main.py --check

# List all equipment
python scripts/main.py --list

# Update calibration date after servicing
python scripts/main.py --update "Pipette P100" --calibration-date 2025-01-15

# Remove decommissioned equipment
python scripts/main.py --delete "Balance XS205"

# Generate compliance report
python scripts/main.py --report

Output

• Maintenance schedule with next due dates
• Overdue alerts (past calibration date)
• Upcoming reminders (30/60/90 days)
• Compliance report (JSON) with equipment name, location, last calibration date, interval, next due date, and status

Compliance Report Format

json

{
  "generated": "2025-01-15",
  "equipment": [
    {
      "name": "Pipette P100",
      "location": "Lab 3B",
      "last_calibration": "2024-01-15",
      "interval_months": 12,
      "next_due": "2025-01-15",
      "status": "DUE"
    }
  ],
  "summary": {
    "total": 1,
    "overdue": 0,
    "due_30_days": 1,
    "compliant": 0
  }
}

Stress-Case Rules

For complex multi-constraint requests, always include these blocks:

1. Assumptions
2. Hard Constraints
3. Maintenance Check Path
4. Compliance Risks
5. Unresolved Items

Input Validation

This skill accepts requests involving lab equipment calibration tracking, maintenance scheduling, and reminder generation.

If the user's request does not involve equipment maintenance logging — for example, asking to order supplies, write SOPs, or manage personnel schedules — do not proceed with the workflow. Instead respond:

"equipment-maintenance-log is designed to track lab equipment calibration dates and maintenance schedules. Your request appears to be outside this scope. Please provide equipment name and calibration details, or use a more appropriate tool for your task."

Output Requirements

Every final response must include:

• Objective or requested deliverable
• Inputs used and assumptions introduced
• Workflow or decision path
• Core result, recommendation, or artifact
• Constraints, risks, caveats, or validation needs
• Unresolved items and next-step checks

Error Handling

• If --add is used without --calibration-date or --interval, report exactly which fields are missing before proceeding.
• If --calibration-date is not in YYYY-MM-DD format, reject with: "Invalid date format. Use YYYY-MM-DD (e.g., 2024-01-15)."
• If --update or --delete references an equipment name not in the log, report "Equipment not found" and list available names.
• If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
• If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
• Do not fabricate files, citations, data, search results, or execution outcomes.

Response Template

1. Objective
2. Inputs Received
3. Assumptions
4. Workflow
5. Deliverable
6. Risks and Limits
7. Next Checks