Health Monitor
CheckedContinuously tracks system health metrics, proactively alerting users to potential issues and optimizing performance.
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 winsorllc/upgraded-carnival --skill health-monitor -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
winsorllc
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 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 winsorllc/upgraded-carnival at 8fd52c772f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8fd52c772f
- Scanned
- 2 files, 266 lines
About this skill
What it does
The health-monitor skill provides AI agents with the ability to monitor and report on their own operational status. It can track resource usage, identify potential performance bottlenecks, and provide alerts when thresholds are exceeded. This allows agents to proactively manage their resources and ensure consistent performance.
When to use it
- Long-running tasks: Monitor agent resource consumption during extended processes like data analysis or content generation.
- Resource constrained environments: Optimize agent behavior in situations with limited CPU, memory, or network bandwidth.
- Debugging performance issues: Identify the root cause of slowdowns or errors by tracking system metrics.
- Automated maintenance: Trigger automated actions (e.g., restarting a process) when health checks fail.
Key capabilities
- Resource usage tracking (CPU, memory, network)
- Threshold-based alerting
- Performance bottleneck identification
- Self-monitoring and reporting
Example prompts
- "Monitor my CPU usage for the next 5 minutes."
- "Alert me if my memory exceeds 80%."
- "Report on any performance bottlenecks you detect."
Tips & gotchas
The skill requires appropriate permissions to access system metrics. Ensure the agent has sufficient privileges to gather the necessary data for accurate monitoring.