What are the requirements to run this skill?

Python 3.8+ (stdlib only, no external dependencies); Docker CLI is optional; standard Unix utilities (ps, ss/netstat) are expected.

Can I use this without Docker installed?

Yes. Docker-related commands degrade gracefully if Docker is not installed or available.

How do I get a quick system overview?

Run the diag command to generate a full health report, then use docker, proc, logs, and health subcommands as needed to investigate specific areas.

agentic-devops

npx machina-cli add skill cacheforge-ai/cacheforge-skills/agentic-devops --openclaw

Files (1)

SKILL.md

2.8 KB

When to use this skill

Use this skill when the user wants to:

Run system diagnostics or health checks
Manage Docker containers (status, logs, health, compose)
Inspect running processes, ports, or resource hogs
Analyze log files for errors, patterns, or frequency
Check HTTP endpoint availability or port status
Get a quick one-command system overview

Commands

Quick Diagnostics (start here)

# Full system health report — CPU, memory, disk, Docker, ports, errors, top processes
python3 skills/agentic-devops/devops.py diag

Docker Operations

# Container status overview
python3 skills/agentic-devops/devops.py docker status

# Tail container logs with pattern filtering
python3 skills/agentic-devops/devops.py docker logs <container> --tail 100 --grep "error|warn"

# Docker health summary (running, stopped, unhealthy)
python3 skills/agentic-devops/devops.py docker health

# Docker Compose service status
python3 skills/agentic-devops/devops.py docker compose-status --file docker-compose.yml

Process Management

# List processes sorted by resource usage
python3 skills/agentic-devops/devops.py proc list --sort cpu

# Show ports in use
python3 skills/agentic-devops/devops.py proc ports

# Detect zombie processes
python3 skills/agentic-devops/devops.py proc zombies

Log Analysis

# Analyze log file for error patterns
python3 skills/agentic-devops/devops.py logs analyze /var/log/syslog --pattern "error|fail|critical"

# Tail log file with highlighted patterns
python3 skills/agentic-devops/devops.py logs tail /var/log/app.log --highlight "ERROR|WARN"

# Frequency analysis of log patterns
python3 skills/agentic-devops/devops.py logs frequency /var/log/app.log --top 20

Health Checks

# Check HTTP endpoint health
python3 skills/agentic-devops/devops.py health check https://myapp.com/healthz

# Scan specific ports
python3 skills/agentic-devops/devops.py health ports 80,443,8080,5432

# System resource health (CPU, memory, disk)
python3 skills/agentic-devops/devops.py health system

Requirements

Python 3.8+ (stdlib only, no external dependencies)
Docker CLI (optional — Docker sections degrade gracefully if not installed)
Standard Unix utilities (ps, ss/netstat)

Source

git clone https://github.com/cacheforge-ai/cacheforge-skills/blob/main/skills/agentic-devops/SKILL.mdView on GitHub

Overview

This skill offers a production-ready set of commands for diagnostics, Docker management, process inspection, log analysis, and health monitoring. Built by engineers who run production, it helps you quickly understand system health and keep services reliable.

How This Skill Works

It runs with Python 3.8+ using only the standard library. Commands are executed via a single devops.py CLI that exposes diag, docker, proc, logs, and health subcommands to collect metrics, inspect containers, and fetch endpoint health.

When to Use It

Run system diagnostics or health checks
Manage Docker containers (status, logs, health, compose)
Inspect running processes, ports, or resource hogs
Analyze log files for errors, patterns, or frequency
Check HTTP endpoint availability or port status

Quick Start

Step 1: Run a full diagnostic: python3 skills/agentic-devops/devops.py diag
Step 2: Check Docker status: python3 skills/agentic-devops/devops.py docker status
Step 3: Run a health check on an endpoint: python3 skills/agentic-devops/devops.py health check https://myapp.com/healthz

Best Practices

Start with a full diag to capture a baseline before any change
Prefer Docker health and compose-status for container orchestration
When analyzing logs, use pattern filtering and frequency analysis to prioritize issues
Use proc commands to identify resource hogs and port usage
Regularly run health checks on critical endpoints to detect regressions

Example Use Cases

Run a full system health report to surface CPU, memory, disk, Docker, ports, errors, and top processes
Check the status of all Docker containers and identify unhealthy or stopped services
Tail application logs with pattern filtering to surface errors or warnings
Inspect open ports to verify service exposure and detect conflicts
Perform an HTTP health check on a critical endpoint to verify availability

Frequently Asked Questions

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