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Monitoring

Listed
sgcarstrends·vlatest·devops·MIT

Proactively monitors Singapore car sales trends data, alerting DevOps teams to anomalies impacting forecasting models.

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 motormetrics/motormetrics --skill monitoring -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

sgcarstrends

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: motormetrics.app, sgcarstrends.com.

    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

    sgcarstrends.comundeclaredmotormetrics.appundeclared

    What it found (3 of 4)

    • .agents/skills/monitoring/SKILL.md:106contacts sgcarstrends.com
      curl -f https://sgcarstrends.com/api/health || echo "Web unhealthy"
    • .agents/skills/monitoring/SKILL.md:153contacts sgcarstrends.com
      curl -v https://sgcarstrends.com/api/health
    • .claude/skills/monitoring/SKILL.md:106contacts motormetrics.app
      curl -f https://motormetrics.app/api/health || echo "Web unhealthy"

  • 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 sgcarstrends/sgcarstrends at d852d8c519.

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

Commit
d852d8c519
Manifest
.agents/skills/monitoring/SKILL.md
Scanned
2 files, 392 lines
Copies in repo
2 — all of them scanned
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

This skill enables AI agents to monitor Singapore car sales trends data and related Vercel deployments, providing insights into application health and performance. It allows for viewing logs from various sources (Vercel Dashboard, CLI), tracking web vitals like LCP, FID, CLS, and TTFB using Vercel Analytics and Speed Insights, and checking the application's health via a dedicated endpoint. The skill also provides information on logging patterns used within the codebase.

When to use it

  • Troubleshooting errors or performance issues in Vercel deployments related to Singapore car sales trends data.
  • Proactively monitoring key web vitals (LCP, FID, CLS, TTFB) for optimization purposes.
  • Verifying application health and availability by checking the /api/health endpoint.
  • Analyzing workflow execution events or identifying errors in COE (Center of Excellence) data processing.

Key capabilities

  • Log Viewing: Access and filter logs from Vercel Dashboard and CLI.
  • Web Vital Tracking: Monitor LCP, FID, CLS, and TTFB using Vercel Analytics and Speed Insights.
  • Health Check Endpoint: Verify application health via the /api/health endpoint.
  • Logging Pattern Recognition: Understand log prefixes ([WORKFLOW], [COE], [CARS]) to quickly identify event types.

Example prompts

  • "Show me the recent error logs for the Vercel deployment."
  • "What is the current LCP score?"
  • "Check the application's health status."
  • "Find all log entries with the prefix '[WORKFLOW]'."

Tips & gotchas

  • The skill relies on standard console.log/error/warn for logging within the codebase, so understanding these patterns is crucial for effective analysis.
  • To monitor web vitals, ensure Speed Insights is properly integrated into the application (as shown in the source code).
  • The health check endpoint /api/health provides a simple status and timestamp; it doesn't offer detailed diagnostics.