← 返回 Skills 市场
150
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install equipment-maintenance-log-2
功能描述
Track lab equipment calibration dates and send maintenance reminders
使用说明 (SKILL.md)
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
安全使用建议
This skill appears to be a simple local Python tool for tracking calibration dates and reminders. Before installing: ensure you have Python available (python3), inspect and trust the included scripts, and be aware the script will create and write ~/.openclaw/equipment_log.json in your home directory (persistent local storage). There are minor metadata mismatches (the registry didn't declare Python or the config path); if you need stricter isolation, run the script in a sandbox/virtualenv or container. Also validate inputs (date format) and back up any important data before use.
功能分析
Type: OpenClaw Skill
Name: equipment-maintenance-log-2
Version: 0.1.0
The skill bundle is a straightforward utility for tracking equipment maintenance. The Python script (scripts/main.py) manages a local JSON database in the user's home directory (~/.openclaw/equipment_log.json) and contains no network calls, obfuscation, or suspicious execution patterns. The documentation in SKILL.md accurately reflects the code's functionality without any prompt-injection attempts.
能力评估
Purpose & Capability
Name/description match the code: the script stores equipment records and checks upcoming/overdue maintenance. Minor mismatch: the registry metadata lists no required binaries, but SKILL.md usage and scripts/main.py expect Python to be available (python3).
Instruction Scope
SKILL.md instructs running the included Python script and describes local behavior only. The runtime code reads/writes a file in the user's home directory (~/.openclaw/equipment_log.json); the registry declared no config paths, so the skill will create and persist data in the user's home without that being called out in metadata.
Install Mechanism
No install spec (instruction-only plus an included Python script). This is low-risk from an install perspective — nothing is downloaded at runtime — but the bundled script will be executed locally by the agent and writes files to disk.
Credentials
The skill requests no environment variables or credentials; the operations performed (local read/write of a JSON file) are proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated privileges or modify other skills. It does persist data under ~/.openclaw, which is reasonable for a local tool but is persistent storage in the user's home directory and should be considered by the user.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install equipment-maintenance-log-2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/equipment-maintenance-log-2触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
- Initial release of equipment maintenance log skill.
- Tracks calibration dates for lab equipment.
- Sends maintenance and calibration reminders.
- Supports adding equipment, setting calibration intervals, and listing schedules.
- Includes security and risk assessment guidelines.
元数据
常见问题
Equipment Maintenance Log 是什么？
Track lab equipment calibration dates and send maintenance reminders. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 150 次。
如何安装 Equipment Maintenance Log？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install equipment-maintenance-log-2」即可一键安装，无需额外配置。
Equipment Maintenance Log 是免费的吗？
是的，Equipment Maintenance Log 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Equipment Maintenance Log 支持哪些平台？
Equipment Maintenance Log 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Equipment Maintenance Log？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v0.1.0。
推荐 Skills