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/install equipment-maintenance-log-2
Description
Track lab equipment calibration dates and send maintenance reminders
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install equipment-maintenance-log-2 - After installation, invoke the skill by name or use
/equipment-maintenance-log-2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Equipment Maintenance Log?
Track lab equipment calibration dates and send maintenance reminders. It is an AI Agent Skill for Claude Code / OpenClaw, with 150 downloads so far.
How do I install Equipment Maintenance Log?
Run "/install equipment-maintenance-log-2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Equipment Maintenance Log free?
Yes, Equipment Maintenance Log is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Equipment Maintenance Log support?
Equipment Maintenance Log is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Equipment Maintenance Log?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.0.
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