A specialized skill for installing, managing, and productizing OA monitoring and automated self-healing workflows within OpenClaw environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-oa-operator
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 openclaw-oa-operator 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 OpenClaw OA Operator?
The OpenClaw OA Operator is a comprehensive technical skill designed to bridge the gap between raw data and actionable workspace health. It empowers developers to operate OA as a robust observability layer, focusing on stable workflows that include metric interpretation and automated remediation. By using this tool within the ecosystem of Openclaw Skills, users can transform standard monitoring into a proactive self-healing system.
This skill excels at maintaining clear boundaries between local machine configurations and shareable public packages. Whether you are troubleshooting G1-G5 metrics, refining complex dashboards for better data density, or preparing a workspace for a broader release, the OA Operator ensures that every change is verified through concrete API checks and smoke tests.
OpenClaw OA Operator Use Cases
- Setting up or repairing
oa-cliandoa-projectconfigurations in a fresh workspace. - Running and interpreting
oa collectandoa serveto monitor team health and cron reliability. - Implementing self-heal loops to detect, fix, and verify workspace issues automatically.
- Optimizing dashboard layouts for both desktop and mobile diagnostics.
- Preparing workspace capabilities for public release on ClawHub as a skill or plugin.
How OpenClaw OA Operator Works
- Workspace Inspection: Analyzes the environment for
config.yaml, self-healing rules, and existing automation scripts. - Runtime Verification: Confirms that data collection and server endpoints are functional before making UI or logic changes.
- Metric Interpretation: Evaluates G1-G5 metrics and custom goals to distinguish between signal noise and actual policy breaches.
- Policy-Driven Remediation: Executes non-destructive fixers based on defined
self_heal_rules.yamlto stabilize the workspace. - Validation: Performs end-to-end smoke tests and screenshot verification to ensure structural and data integrity.
OpenClaw OA Operator Setup
To initialize the OA Operator within your workspace, follow these steps:
# Inspect current OA surface and configuration
ls config.yaml self_heal_rules.yaml
# Verify the environment with a smoke test
bash scripts/oa_workspace_smoke_test.sh
# Check API health and metric endpoints
curl http://localhost:PORT/api/health
OpenClaw OA Operator Data Schema & Taxonomy
The skill organizes data around policy files and automation artifacts to ensure consistency across Openclaw Skills deployments:
| Component | File/Path | Description |
|---|---|---|
| Core Policy | config.yaml |
Defines thresholds, paths, and agent scope. |
| Automation | self_heal_rules.yaml |
Contains logic for automated detection and repair. |
| Logic | scripts/ |
Shell wrappers for server management and smoke tests. |
| UI Overrides | dashboard-zh/ |
Optional localized or custom dashboard templates. |
| Remediation | patches/ |
Pre-defined fixes for common workspace failures. |
OpenClaw OA Operator Advanced Features
- Automated Self-Heal Loops: Integrated detect-fix-verify cycles to maintain workspace uptime without manual intervention.
- ClawHub Productization: Specialized workflows to strip machine-specific data for clean skill or plugin publishing.
- Multi-Device Dashboard Optimization: Tools to verify and refine dashboard rendering for high-density diagnostic views.
- Signal Quality Diagnostics: Advanced filtering to separate pipeline failures from actual performance issues.
SKILL.md
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