xuzhougeng/wispterm/inspect-computer-config

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Use when the user asks to inspect, summarize, audit, compare, or troubleshoot this computer's hardware, operating system, CPU, memory, GPU, disk, or local runtime configuration.

Install

npx vskill@latest install xuzhougeng/wispterm/inspect-computer-config

SKILL.md

Inspect Computer Config

Overview

Collect a concise local computer configuration report without looking up external services or exposing secrets. Prefer the bundled script for repeatable OS, CPU, memory, GPU, disk, and runtime facts.

Workflow

  1. Run the bundled script from the directory that contains this SKILL.md:
bash
python3 scripts/inspect_computer_config.py

On Windows, use python if python3 is not available.

  1. Use structured output when the result will feed another tool:
bash
python3 scripts/inspect_computer_config.py --json
  1. Include the hostname only when it is useful for local diagnostics:
bash
python3 scripts/inspect_computer_config.py --include-hostname
  1. Summarize the important facts for the user. Mention unavailable fields plainly instead of guessing.

Privacy

  • Do not collect public IP addresses, Wi-Fi passwords, SSH keys, license keys, environment variables, browser data, or installed application inventories.
  • Do not print serial numbers or unique hardware IDs unless the user explicitly asks and understands why they are needed.
  • Ask before running benchmarks, stress tests, or commands that require administrator privileges.

Script Notes

  • scripts/inspect_computer_config.py uses only the Python standard library.
  • On Windows it calls PowerShell CIM cmdlets when available for richer CPU, memory, GPU, and disk details.
  • On Linux it reads /proc and common command output when available.
  • On macOS it uses sysctl, system_profiler, and df when available.
  • If modifying the script, run python3 scripts/inspect_computer_config.py --self-test from the skill directory before using it.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
265
Repository forks
16
7-day trend score
28

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