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Equipment Maintenance Log

Track lab equipment calibration dates and send maintenance reminders
跟踪实验室设备校准日期并发送维护提醒
shanruoyu
效率工具 clawhub v0.1.0 1 版本 99813.8 Key: 无需
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概述

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

ParameterTypeDefaultRequiredDescription
-------------------------------------------------
--addstring-*Equipment name to add
--calibration-datestring-*Last calibration date (YYYY-MM-DD)
--intervalint-*Calibration interval in months
--checkflag-**Check for upcoming maintenance
--listflag-**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 IndicatorAssessmentLevel
-----------------------------------
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-03-19 15:33 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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