A specialized operational monitoring tool for gathering disk usage, Git status, and system resource signals in one snapshot.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ops-dashboard
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ops-dashboard using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ops Dashboard?
Ops Dashboard is a powerful utility designed for developers and DevOps engineers to gain immediate visibility into their workspace health. By aggregating critical data points like storage availability, Git commit history, and system load averages, it eliminates the need for manual health checks across multiple tools. This tool is a key part of the Openclaw Skills ecosystem, providing a centralized way to ensure infrastructure stability before deployments or major updates. It simplifies the process of answering how infrastructure is performing without context switching.
Whether you are managing a local environment or a remote server, Ops Dashboard provides the telemetry needed to maintain peak performance. By integrating this into your Openclaw Skills collection, you gain a robust diagnostic layer that monitors everything from storage tiers to repository cleanliness, ensuring your development environment remains healthy and predictable.
Ops Dashboard Use Cases
- Performing pre-deployment health checks to ensure disk space and Git status readiness.
- Troubleshooting workspace performance issues or unexpected slowdowns during heavy tasks.
- Monitoring directory growth vectors within large repositories to spot data accumulation.
- Automating infrastructure reporting for CI/CD pipelines or shared workspace environments.
- Validating branch status and recent commit history before pushing critical updates.
How Ops Dashboard Works
- The user executes the CLI script, optionally pointing to a specific workspace directory via flags.
- The skill queries system-level metrics such as disk usage across all mounted tiers using standard system utilities.
- It interfaces with the local Git environment to retrieve current branch status and recent commit metadata.
- The tool calculates directory sizes within the root to identify specific storage bottlenecks.
- It captures system load averages (1/5/15 minute intervals) to correlate performance with resource usage.
- Finally, it outputs a formatted summary or a JSON object for programmatic consumption by other scripts.
Ops Dashboard Setup
To get started with this addition to your Openclaw Skills, ensure you have Python 3 installed and follow these steps:
# Navigate to your skill directory
cd skills/ops-dashboard
# Run a basic summary check on your current workspace
python3 scripts/ops_dashboard.py --show summary
# Run a full resource check including load averages
python3 scripts/ops_dashboard.py --show resources
Ops Dashboard Data Schema & Taxonomy
The Ops Dashboard organizes its operational telemetry into a structured format that can be viewed via CLI or exported. When using Openclaw Skills like this one, data is categorized as follows:
| Data Category | Metrics Captured | Purpose |
|---|---|---|
| Storage | Total vs Free space, mount points (/, /mnt/ramdisk) | Prevent disk-full errors |
| Git Metadata | Staged files, unstaged changes, branch name | Ensure repo cleanliness |
| Commit History | Last 3 commits (SHA, Author, Summary) | Track recent workspace changes |
| Performance | 1, 5, and 15-minute system load averages | Diagnose CPU/IO bottlenecks |
| Space Usage | Top 3 largest directory sizes | Identify growth vectors |
Ops Dashboard Advanced Features
- JSON output support using the --output json flag for integration with external monitoring pipelines.
- Multi-workspace monitoring capabilities via the --workspace flag to target remote or secondary clones.
- Detailed resource breakdown including load averages and specific Git author attribution.
- Extensible operational signals that allow developers to build more complex automation on top of Openclaw Skills.
SKILL.md
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