Monitor Config
CheckedContinuously tracks system configurations against defined baselines, alerting on deviations and potential security risks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
avinyc:monitor-config, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add aviflombaum/claude-code-in-avinyc --skill avinyc:monitor-config -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
aviflombaum
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 aviflombaum/claude-code-in-avinyc at c6d907694d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c6d907694d
- Scanned
- 3 files, 274 lines
About this skill
What it does
This skill allows an AI agent to monitor and configure system resources. It can track CPU usage, memory consumption, and disk space utilization in real time. Furthermore, the agent can adjust resource allocation based on predefined rules or user requests.
When to use it
- Troubleshooting performance issues: Identify bottlenecks by monitoring resource usage during periods of high load.
- Automating server maintenance: Schedule tasks to automatically optimize resource allocation based on predicted demand.
- Responding to alerts: Automatically adjust resources when system metrics exceed defined thresholds.
- Capacity planning: Analyze historical data to predict future resource needs and proactively scale infrastructure.
Key capabilities
- Real-time resource monitoring (CPU, memory, disk)
- Configurable alert thresholds
- Automated resource adjustment based on rules
- Historical data logging for analysis
Example prompts
- "Monitor CPU usage of the web server."
- "Increase memory allocation if memory usage exceeds 80%."
- "Show me a graph of disk space utilization over the last 24 hours."
- “What is the current RAM usage?”
Tips & gotchas
The skill requires appropriate permissions to access system metrics and modify configurations. Ensure the AI agent has the necessary privileges for accurate monitoring and effective resource management.