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Install in OpenClaw
/install equipment-maintenance-log
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 small local tool for tracking calibration dates, but you should be aware of the mismatches before installing: (1) The README/description says it will "send maintenance reminders" and that outputs are saved to the workspace, but the shipped script only prints alerts and writes data to ~/.openclaw/equipment_log.json in your home directory. If you expect automated emails/notifications, this script does not implement them. (2) The script creates and persists a file in your home directory—if you care about data location, change the code to accept an explicit data-path option or run it in a sandboxed account. (3) Review the script (it's short) to ensure it meets your input-validation and privacy needs; consider restricting file permissions (chmod 600) on the data file. (4) If you need reminders to be sent, implement integrations with a trusted notification service and store credentials securely (and only if absolutely necessary). If these issues are acceptable or fixed (change data path to workspace, add explicit notification behavior), the skill is reasonably coherent; otherwise treat it with caution.
Capability Analysis
Type: OpenClaw Skill
Name: equipment-maintenance-log
Version: 0.1.0
The skill bundle is a straightforward utility for tracking equipment maintenance schedules. The Python script (scripts/main.py) manages records in a local JSON file (~/.openclaw/equipment_log.json) and contains no network calls, obfuscation, or suspicious execution patterns. The instructions in SKILL.md are consistent with the code's functionality and do not attempt to manipulate the agent into performing unauthorized actions.
Capability Assessment
Purpose & Capability
The name/description (track calibration dates and send maintenance reminders) aligns with the code's core functionality (add/check/list equipment). However, the SKILL.md and description imply "send maintenance reminders" and that outputs are saved to the workspace; the bundled script only prints alerts to stdout and persists data to ~/.openclaw/equipment_log.json. That discrepancy should be clarified.
Instruction Scope
Runtime instructions are simple (run python scripts) and the script does not call external networks or read unrelated system state. However the script creates and writes to a persistent file under the user's home (~/.openclaw/equipment_log.json) rather than a workspace-limited path as the SKILL.md checklist suggests—this is a scope/persistence mismatch. The code also performs JSON load/save without additional validation of file contents.
Install Mechanism
No install spec is provided (instruction-only with an included Python script). Nothing is downloaded or installed by the skill, which keeps install risk low.
Credentials
The skill requests no environment variables or credentials and the code does not access external secrets. This is proportionate to its stated purpose.
Persistence & Privilege
The skill does not request elevated privileges and always:false. It does, however, create a persistent directory and file in the user's home directory (~/.openclaw/equipment_log.json), which is durable state outside the agent workspace and could persist potentially sensitive inventory data.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install equipment-maintenance-log - After installation, invoke the skill by name or use
/equipment-maintenance-log - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of equipment-maintenance-log
- Track calibration dates and maintenance intervals for lab equipment.
- Send maintenance reminders and generate overdue alerts.
- Supports adding new equipment, checking upcoming maintenance, and listing all records.
- No external dependencies; runs with standard Python.
- 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 281 downloads so far.
How do I install Equipment Maintenance Log?
Run "/install equipment-maintenance-log" 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 shanruoyu (@shanruoyu); the current version is v0.1.0.
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