equipment-maintenance-log
v0.1.0Track lab equipment calibration dates and send maintenance reminders
Sourced from ClawHub,
Authored by shanruoyu
Installation
Please help me install the skill `equipment-maintenance-log` from SkillHub official store.
npx skills add shanruoyu/equipment-maintenance-log
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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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