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System Supervisor

Checked
cleanexpo·vlatest·devops·MIT

This skill monitors and manages your bot’s performance, ensuring smooth operation & optimal results by tracking key metrics and triggering alerts.

Repository

Install on your platform

This skill no longer installs under the name system-supervisor. cleanexpo/nodejs-starter-v1 is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

cleanexpo

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 cleanexpo/nodejs-starter-v1 at 7b45925bd4.

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

Commit
7b45925bd4
Manifest
.skills/custom/system-supervisor/SKILL.md
Scanned
3 files, 617 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 system-supervisor skill provides capabilities for managing and monitoring a system's resources. It can monitor CPU usage, memory consumption, and disk space to ensure optimal performance. The skill allows users to define thresholds and receive alerts when these metrics exceed predefined limits.

When to use it

  • Resource Monitoring: Track server resource utilization in real-time to identify bottlenecks or potential issues.
  • Alerting on Thresholds: Configure the system to send notifications when CPU usage exceeds 80% or disk space falls below 10%.
  • Automated Scaling (potential): While not explicitly stated, this skill could be a foundation for automated scaling based on resource metrics.
  • Performance Troubleshooting: Quickly identify and diagnose performance problems by analyzing system metrics over time.

Key capabilities

  • CPU Usage Monitoring
  • Memory Consumption Tracking
  • Disk Space Monitoring
  • Threshold-based Alerting

Example prompts

  • "Monitor CPU usage every 5 minutes."
  • "Alert me if memory consumption exceeds 90%."
  • "Show me the disk space utilization for the last hour."

Tips & gotchas

The skill's effectiveness relies on accurate system metric data. Ensure that the underlying system provides reliable resource monitoring information for optimal results.