Infrastructure Monitoring Setup
ListedHelps with monitoring, setup and configuration as part of automating DevOps pipelines and CI/CD workflows workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dawiddutoit/custom-claude --skill infrastructure-monitoring-setup -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
dawiddutoit
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.68.123, ntfy.sh.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
ntfy.shundeclared192.168.68.123undeclaredWhat it found (3 of 4)
- skills/infrastructure-monitoring-setup/SKILL.md:236contacts ntfy.sh
curl -d "Test from infrastructure monitoring" https://ntfy.sh/$TOPIC - skills/infrastructure-monitoring-setup/SKILL.md:279contacts 192.168.68.123
HA_BASE_URL=http://192.168.68.123:8123 - skills/infrastructure-monitoring-setup/SKILL.md:298contacts 192.168.68.123
http://192.168.68.123:8123/api/
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned dawiddutoit/custom-claude at 17b45a90a6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 17b45a90a6
- Scanned
- 1 file, 420 lines
About this skill
What it does
This skill automates the setup of infrastructure monitoring. It can configure Prometheus, Grafana, and related tools to collect metrics and visualize system performance. The agent is capable of deploying necessary components and configuring dashboards based on provided specifications or templates.
When to use it
- You need to quickly set up basic server monitoring without manual configuration.
- You want to create custom dashboards for specific application performance indicators.
- You are onboarding new infrastructure and require automated monitoring setup.
- You're looking to standardize your monitoring stack across multiple environments.
Key capabilities
- Prometheus deployment and configuration
- Grafana dashboard creation and management
- Metric collection from various sources
- Automated component installation
Example prompts
- "Set up Prometheus monitoring for my Kubernetes cluster."
- "Create a Grafana dashboard showing CPU usage for all web servers."
- "Deploy the standard infrastructure monitoring stack with default configurations."
Tips & gotchas
This skill requires appropriate permissions to deploy and configure tools on your target infrastructure. Ensure you have provided sufficient context about the environment where monitoring should be set up, including access credentials and desired metrics.