A specialized tracking system for logging, querying, and managing service deployments within the OpenClaw ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-deploy-tracker
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-deploy-tracker 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 Deploy Tracker?
The OpenClaw Deploy Tracker is a robust documentation and management tool designed to maintain a clear record of all services deployed in your environment. As a core component of the wider ecosystem of Openclaw Skills, it provides a standardized way to track containers, local processes, and remote cloud services. This skill ensures that your AI agents always have an up-to-date map of the infrastructure, preventing port conflicts and simplifying dependency management through a structured memory system.
By centralizing service metadata, the OpenClaw Deploy Tracker enables automated agents to understand the operational context of the system they are working in. Whether you are managing microservices or simple background tasks, this skill acts as the source of truth for service status, access points, and maintenance history within your Openclaw Skills setup.
OpenClaw Deploy Tracker Use Cases
- Registering a new Docker container or local service deployment for tracking.
- Checking for port conflicts before launching a new microservice.
- Updating the status of a service from running to paused or removed to maintain accuracy.
- Auditing dependencies between different Openclaw Skills and their underlying infrastructure.
- Retrieving health check commands or deployment scripts for rapid maintenance.
How OpenClaw Deploy Tracker Works
- When a new service is deployed, the agent creates a detailed markdown file in the services memory directory.
- The central registry index is updated to include the new service, its designated port, and its current operational status.
- Users or agents can query the deployment history using specific grep-based searches or by reading the registry for a quick overview.
- Any status changes or infrastructure updates are logged in the specific service file and immediately reflected in the registry.
- Historical records are preserved even when services are removed to provide full traceability and audit logs for all Openclaw Skills.
OpenClaw Deploy Tracker Setup
To set up the OpenClaw Deploy Tracker, ensure your workspace has the necessary memory directory structure. No external credentials or API keys are required, as it operates on local metadata for your Openclaw Skills.
# Create the required directory structure
mkdir -p memory/services/
# Initialize the registry index
touch memory/services/registry.md
OpenClaw Deploy Tracker Data Schema & Taxonomy
The skill organizes data using a hierarchical markdown structure to ensure compatibility and readability across various Openclaw Skills.
| File | Description |
|---|---|
memory/services/registry.md |
The master index containing tables of services categorized by type (Docker, Local, Remote) and current status. |
memory/services/{name}.md |
Individual service files containing access info, technical specs, deployment commands, and change logs. |
Service Metadata Fields:
- Service Type: Categorized as Container/Docker, Local Service, Remote Service, or Skill.
- Status: Current state including running, stopped, paused, or removed.
- Access Information: URL, Port, and Credential locations (without cleartext values).
- Technical Details: Dependency mapping, storage paths, and network configurations.
OpenClaw Deploy Tracker Advanced Features
- Multi-category indexing for managing complex Openclaw Skills environments across Docker and local hosts.
- Automated health check command storage to facilitate rapid system troubleshooting.
- Historical state tracking that retains service metadata even after service removal for audit trails.
- Standardized credential masking to ensure sensitive data locations are recorded without exposing actual secrets.
- Real-time synchronization between detailed service logs and the master registry index.
SKILL.md
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