Equipment Maintenance Log
Track calibration dates for pipettes, balances, centrifuges and send maintenance reminders.
Usage
CODEBLOCK0
Parameters
| Parameter | Type | Default | Required | Description |
|---|
| INLINECODE0 | string | - | | Equipment name to add |
| INLINECODE1 |
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
- 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
设备维护日志
追踪移液器、天平、离心机的校准日期并发送维护提醒。
使用方法
bash
python scripts/main.py --add Pipette P100 --calibration-date 2024-01-15 --interval 12
python scripts/main.py --check
参数
| 参数 | 类型 | 默认值 | 必填 | 描述 |
|---|
| --add | 字符串 | - | | 要添加的设备名称 |
| --calibration-date |
字符串 | - | | 上次校准日期(YYYY-MM-DD) |
| --interval | 整数 | - | * | 校准间隔(月) |
| --check | 标志 | - |
| 检查即将进行的维护 |
| --list | 标志 | - |
| 列出所有设备 |
\* 添加设备时必填
\ 替代 --add(互斥)
输出
- - 维护计划
- 逾期提醒
- 即将进行的提醒(30/60/90天)
风险评估
| 风险指标 | 评估 | 等级 |
|---|
| 代码执行 | 本地执行Python/R脚本 | 中 |
| 网络访问 |
无外部API调用 | 低 |
| 文件系统访问 | 读取输入文件,写入输出文件 | 中 |
| 指令篡改 | 标准提示词指南 | 低 |
| 数据泄露 | 输出文件保存到工作区 | 低 |
安全检查清单
- - [ ] 无硬编码凭据或API密钥
- [ ] 无未经授权的文件系统访问(../)
- [ ] 输出不泄露敏感信息
- [ ] 已实施提示注入保护
- [ ] 输入文件路径已验证(无../遍历)
- [ ] 输出目录限制在工作区内
- [ ] 在沙盒环境中执行脚本
- [ ] 错误消息已清理(不暴露堆栈跟踪)
- [ ] 依赖项已审计
前提条件
无需额外Python包。
评估标准
成功指标
- - [ ] 成功执行主要功能
- [ ] 输出符合质量标准
- [ ] 优雅处理边界情况
- [ ] 性能可接受
测试用例
- 1. 基本功能:标准输入 → 预期输出
- 边界情况:无效输入 → 优雅的错误处理
- 性能:大数据集 → 可接受的处理时间
生命周期状态
- - 当前阶段:草稿
- 下次审核日期:2026-03-06
- 已知问题:无
- 计划改进:
- 性能优化
- 额外功能支持