A production-ready DevOps toolkit for Docker management, process monitoring, and deep log analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentic-devops
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 agentic-devops 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 Agentic DevOps?
Agentic DevOps is a robust infrastructure management suite designed specifically for engineers and AI agents who manage production environments. As a featured utility in the Openclaw Skills ecosystem, it provides a unified interface for system diagnostics, container orchestration, and real-time monitoring. Built with a zero-dependency philosophy, it relies on the Python standard library and standard Unix utilities to deliver high-performance insights without bloating your system.
This skill empowers users to bridge the gap between manual troubleshooting and automated infrastructure management. By integrating Agentic DevOps into your Openclaw Skills workflow, you gain the ability to perform complex Site Reliability Engineering (SRE) tasks—such as detecting zombie processes, analyzing log frequency, and verifying endpoint health—through simple, agent-friendly commands.
Agentic DevOps Use Cases
- Running comprehensive system health reports and hardware diagnostics.
- Managing Docker container lifecycles and monitoring unhealthy states.
- Analyzing application log files for error patterns and recurring frequency.
- Identifying resource-hogging processes and mapping open network ports.
- Verifying the availability and response status of critical HTTP endpoints.
How Agentic DevOps Works
- The user or AI agent invokes the specific DevOps module via the command-line interface provided in the Openclaw Skills repository.
- The skill executes low-level system calls or queries the Docker daemon to gather real-time infrastructure data.
- Data is processed through specialized filters for resource usage, container status, or log patterns.
- For log analysis, the engine applies regex patterns to extract and highlight critical errors or frequency metrics.
- The final output is returned as a structured report or actionable status update for the operator.
Agentic DevOps Setup
To deploy this skill within your Openclaw Skills environment, ensure you have Python 3.8+ and standard Unix utilities installed. Docker CLI is recommended but optional for non-container monitoring.
# Verify your Python environment
python3 --version
# Run a full system diagnostic report
python3 skills/agentic-devops/devops.py diag
# Check Docker container health status
python3 skills/agentic-devops/devops.py docker health
Agentic DevOps Data Schema & Taxonomy
The Agentic DevOps skill organizes its outputs into several distinct data structures to ensure compatibility with various Openclaw Skills workflows:
| Data Category | Content Description |
|---|---|
| Diagnostics | Comprehensive overview of CPU, memory, disk, and top processes. |
| Docker Status | Status mapping for running, stopped, and unhealthy containers. |
| Log Metrics | Tables containing pattern match frequency and highlighted error strings. |
| Network Map | List of active ports, protocol types, and associated process IDs. |
Agentic DevOps Advanced Features
- Intelligent pattern highlighting for real-time log tailing and debugging.
- Multi-service monitoring via Docker Compose integration.
- Automated zombie process detection to maintain system stability.
- Frequency-based log analysis to identify systemic infrastructure issues before they escalate.
- Graceful degradation support for environments lacking Docker or specific Unix tools.
SKILL.md
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