Back to skills
extension
Category: Productivity & OfficeNo API key required

Equipment Maintenance Log

Track lab equipment calibration dates and send maintenance reminders

personAuthor: shanruoyuhubclawhub

Equipment Maintenance Log

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

Usage

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

Parameters

| Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | --add | string | - | * | Equipment name to add | | --calibration-date | string | - | * | Last calibration date (YYYY-MM-DD) | | --interval | int | - | * | Calibration interval in months | | --check | flag | - | ** | Check for upcoming maintenance | | --list | flag | - | ** | List all equipment |

* Required when adding equipment
** Alternative to --add (mutually exclusive)

Output

  • Maintenance schedule
  • Overdue alerts
  • Upcoming reminders (30/60/90 days)

Risk Assessment

| Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support