技能详情（站内镜像，无评论）
作者：AIpoch @AIPOCH-AI
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 0 · 18 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal：Pending · OpenClaw ：良性
Package：aipoch-ai/equipment-maintenance-log-2
安全扫描（ClawHub）
- VirusTotal：Pending
- OpenClaw ：良性
OpenClaw 评估
The skill's code and instructions are consistent with a simple local equipment maintenance tracker; it does not request credentials or network access, but there are minor metadata/instruction mismatches (Python execution and a home-directory data file) you should be aware of before installing.
目的
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).
说明范围
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.
安装机制
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.
证书
The skill requests no environment variables or credentials; the operations performed (local read/write of a JSON file) are proportionate to the stated purpose.
持久
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.
综合结论
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 isol…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Equipment Maintenance Log」。简介：Track lab equipment calibration dates and send maintenance reminders。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aipoch-ai/equipment-maintenance-log-2/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: equipment-maintenance-log
description: Track lab equipment calibration dates and send maintenance reminders
version: 1.0.0
category: Operations
tags: []
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# Equipment Maintenance Log
Track calibration dates for pipettes, balances, centrifuges and send maintenance reminders.
## Usage
```bash
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