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Monitoring Dashboard

Listed
vanman2024·vlatest·devops

Visualize key infrastructure metrics & alerts in a customizable dashboard to proactively identify and resolve DevOps issues.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vanman2024/ai-dev-marketplace --skill monitoring-dashboard -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vanman2024

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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: docs.wandb.ai, wandb.ai.

    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

    wandb.aiundeclareddocs.wandb.aiundeclaredgithub.comsource host

    What it found (3 of 9)

    • plugins/ml-training/skills/monitoring-dashboard/scripts/launch-monitoring.sh:176contacts wandb.ai
      WANDB_URL="https://wandb.ai"
    • plugins/ml-training/skills/monitoring-dashboard/scripts/launch-monitoring.sh:178contacts wandb.ai
      WANDB_URL="https://wandb.ai/$ENTITY/$WANDB_PROJECT"
    • plugins/ml-training/skills/monitoring-dashboard/scripts/launch-monitoring.sh:180contacts wandb.ai
      WANDB_URL="https://wandb.ai/$ENTITY"

  • 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 vanman2024/ai-dev-marketplace at 35f1f5a5fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
35f1f5a5fb
Manifest
plugins/ml-training/skills/monitoring-dashboard/SKILL.md
Scanned
9 files, 3,461 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The monitoring-dashboard skill provides a visual interface for displaying real-time metrics and logs from various systems. It aggregates data from sources like Prometheus, Grafana, and Elasticsearch, presenting them in customizable charts and tables. This allows users to quickly identify anomalies, troubleshoot issues, and gain insights into system performance.

When to use it

  • Incident Response: Quickly assess the impact of an alert by visualizing related metrics on a dashboard.
  • Performance Optimization: Identify bottlenecks and areas for improvement in application or infrastructure performance.
  • Capacity Planning: Track resource utilization trends to anticipate future needs and avoid overloads.
  • Debugging: Correlate logs with system metrics to pinpoint the root cause of errors.

Key capabilities

  • Data aggregation from Prometheus, Grafana, and Elasticsearch.
  • Customizable dashboards with charts and tables.
  • Real-time metric visualization.
  • Log correlation with system metrics.

Example prompts

  • "Show me a dashboard of CPU usage for the last 5 minutes."
  • "Create a graph displaying memory utilization trends over the past hour, pulling data from Prometheus."
  • "Display recent error logs alongside their corresponding request latency."

Tips & gotchas

The skill requires access to your monitoring systems (Prometheus, Grafana, Elasticsearch). Ensure appropriate credentials and permissions are configured for the AI agent.