How do I install the Computer Diagnosis skill?

Run npx skillmds@latest add fritzprix/computer-diagnosis-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Computer Diagnosis safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Computer Diagnosis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Computer Diagnosis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Computer Diagnosis?

fritzprix (@fritzprix) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Computer Diagnosis by fritzprix — Agent Skill

Name: Computer Diagnosis
Author: fritzprix

Computer Diagnosis

Comprehensive computer diagnosis and troubleshooting. Use this skill when a user reports issues with their computer (e.g., "my computer is slow", "it's freezing", "loud fan noise", "no disk space") to analyze system metrics (CPU, RAM, Disk, Network) across macOS, Windows, and Linux, and generate a detailed report with actionable recommendations.

fritzprix 70f4234 6 files · 10.8 KB Updated Sep 17, 2026

File contents

Computer Diagnosis Skill

This skill allows Claude to act as a technical support assistant. It gathers system information using Python's psutil library (making it cross-platform), analyzes the metrics for common issues, and provides a structured report.

Path conventions

Paths in this skill are relative to the directory containing this SKILL.md, not to the workspace root or the shell's current ./.

Scripts in this skill use paths like scripts/...
Reference material in this skill uses paths like references/... and assets/...
When a command below says python scripts/..., resolve that script path against the skill's absolute Base Directory
In command examples below, replace <skill-base-dir> with the skill's actual absolute Base Directory
Files created in the examples are workspace files unless the instruction explicitly says otherwise

Workflow

Information Gathering: When a user reports an issue, execute the data collection script to snapshot the current system state.
```
python "<skill-base-dir>/scripts/collect_info.py" > sys_info.json
```
Data Analysis: Use the analysis script to parse the collected JSON and identify critical issues (high CPU/Memory, full disks).
```
python "<skill-base-dir>/scripts/analyze_info.py" sys_info.json > analysis_result.json
```
Report Generation: Read both sys_info.json and analysis_result.json. Present the findings to the user using the template found in assets/report_template.md.

Reference Materials

Symptoms Guide: See references/symptoms.md to map user descriptions to specific metrics.

Notes

The scripts rely on psutil. If it's missing, you may need to install it (pip install psutil).
Ensure you have permission to read system states. Some disk partitions or network interfaces might throw PermissionError, which the script handles by skipping them.
Always provide actionable recommendations alongside the raw data. Users want to know how to fix the problem.

---name: computer-diagnosis-2description: Comprehensive computer diagnosis and troubleshooting. Use this skill when a user reports issues with their computer (e.g., "my computer is slow", "it's freezing", "loud fan noise", "no disk space") to analyze system metrics (CPU, RAM, Disk, Network) across macOS, Windows, and Linux, and generate a detailed report with actionable recommendations.---# Computer Diagnosis SkillThis skill allows Claude to act as a technical support assistant. It gathers system information using Python's `psutil` library (making it cross-platform), analyzes the metrics for common issues, and provides a structured report.## Path conventionsPaths in this skill are relative to the directory containing this `SKILL.md`, not to the workspace root or the shell's current `./`.- Scripts in this skill use paths like `scripts/...`- Reference material in this skill uses paths like `references/...` and `assets/...`- When a command below says `python scripts/...`, resolve that script path against the skill's absolute Base Directory- In command examples below, replace `<skill-base-dir>` with the skill's actual absolute Base Directory- Files created in the examples are workspace files unless the instruction explicitly says otherwise## Workflow1. **Information Gathering**: When a user reports an issue, execute the data collection script to snapshot the current system state. ```bash python "<skill-base-dir>/scripts/collect_info.py" > sys_info.json ```2. **Data Analysis**: Use the analysis script to parse the collected JSON and identify critical issues (high CPU/Memory, full disks). ```bash python "<skill-base-dir>/scripts/analyze_info.py" sys_info.json > analysis_result.json ```3. **Report Generation**: Read both `sys_info.json` and `analysis_result.json`. Present the findings to the user using the template found in `assets/report_template.md`.## Reference Materials- **Symptoms Guide**: See `references/symptoms.md` to map user descriptions to specific metrics.## Notes- The scripts rely on `psutil`. If it's missing, you may need to install it (`pip install psutil`).- Ensure you have permission to read system states. Some disk partitions or network interfaces might throw `PermissionError`, which the script handles by skipping them.- Always provide actionable recommendations alongside the raw data. Users want to know *how* to fix the problem.

Frequently asked questions