How does this skill help my AI agent diagnose system performance issues?

This skill provides real-time telemetry—such as CPU load, VRAM usage, and disk health—allowing your AI agent to identify the specific root cause of a slowdown instead of offering generic troubleshooting advice.

Can I use this skill on different operating systems?

Yes, it is fully compatible with Windows, Linux, and macOS, though certain advanced features like startup program management are currently focused on Windows and Linux environments.

Which AI agents or platforms are compatible with this system stats skill?

The skill requires an environment that supports the Model Context Protocol (MCP) via stdio, such as Claude Desktop or other MCP-compatible agent hosts.

Does this skill monitor GPU performance for local AI model execution?

Absolutely—the skill includes specialized GPU monitoring tools to track VRAM utilization and compute processes, which is essential for managing local LLM workloads.

Can I use this to monitor remote servers or cloud instances?

No, this skill is designed for local machine diagnostics only and does not support monitoring remote servers or cloud infrastructure.

What exactly is included in the purchase of this skill?

You receive the standardized MCP tool definitions and instructions required to connect your agent to the mcp-system-stats server (v2.0.1+), enabling immediate hardware data access.

System Stats — Local Performance Diagnostics

Example session with this skill installed

My computer feels slow. Use System Stats to compare CPU and RAM across several samples, identify resource-heavy applications, and explain your findings and any measurement limitations. Do not change system settings or close applications.

Read your context and instructions
Compiled the system stats

Illustrative example

The following measurements are fictional and demonstrate the report format.

Finding

RAM usage remained above 90% throughout the short sampling window. This may contribute to the slowdown, but the measurements do not establish the complete cause.

Evidence

Measurement	Result
Sampling window	Three samples over 2.6 seconds
CPU utilization	18%, 25%, 20% — average 21%
RAM utilization	92%, 93%, 92% — average 92.3%
Largest observed memory consumer	Browser processes, approximately 5.8 GiB
CPU temperature	Unavailable

Interpretation

RAM pressure persisted across all three samples. CPU utilization did not show sustained pressure during this window. The browser was the largest observed memory consumer, making it a candidate for further investigation.

Limitations

The missing temperature reading cannot be interpreted as a normal temperature. A short sampling window cannot establish a memory leak, and the process ranking alone does not prove causation. Disk latency was not measured.

Next steps

Save your work and review unnecessary browser tabs or active tasks.
Repeat the diagnostic while the slowdown is occurring.
Compare memory usage before and after an application is closed manually.

No applications were terminated, files deleted, or system settings changed.

Connects securely to your tools. The creator never sees your data.

About this skill

Give your AI agent a practical workflow for diagnosing local computer performance with mcp-system-stats.

What it does

Compares CPU and RAM across multiple samples to distinguish isolated spikes from sustained pressure.
Identifies resource-heavy applications and processes.
Examines disk capacity, GPU memory, and network activity when relevant.
Explains missing sensors, unsupported features, and measurement limitations.
Produces clear findings and actionable recommendations based on real tool results.

Requirements

Requires the @fran0808/system-stats MCP server configured locally and an agent that can load skill instructions and access local stdio MCP tools. Loading this skill alone does not connect the server.

Setup instructions cover npm installation, an npx alternative, and separate configuration examples for Cursor, Claude Desktop, Claude Code, and Codex.

Included

Diagnostic instructions, connection guidance, configuration templates, tool limitations, and example reports.

Limitations

Telemetry availability depends on the operating system, hardware, drivers, and permissions. The server measures the machine where it runs. This skill provides read-only diagnostics; it does not automatically close applications, delete files, or change system settings.

Free and open source under the MIT license.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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System Stats — Local Performance Diagnostics