Local System Info (Iyeque)

v1.1.0

Return system metrics (CPU, RAM, disk, processes) using psutil.

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
Name and description match the code and SKILL.md: the script uses psutil to report CPU, memory, disk, and process information. Declared required binary (python3) and dependency (psutil) are appropriate and proportional to the stated purpose.
Instruction Scope
Runtime instructions and the Python code are limited to collecting local system metrics and enumerating processes. There is no network I/O, credential access, or filesystem reads outside standard system APIs. Note: the processes listing includes the 'username' field, which can expose local account names — this is expected for a process enumerator but may be considered sensitive information in some contexts.
Install Mechanism
The skill is instruction-only (no install spec in the registry), and the SKILL.md recommends installing psutil with pip. Installing psutil from PyPI is a typical, expected step and is proportionate to the task. No downloads from untrusted URLs or archive extraction are present.
Credentials
No environment variables, credentials, or config paths are requested. The code does not read env vars or external secrets. The requested scope is minimal and matches the feature set.
Persistence & Privilege
The skill does not request persistent/always-on privileges (always:false) and does not modify other skills or system-wide configuration. Model invocation is permitted (default), which is normal for user-invocable skills.
Assessment
This skill appears to do exactly what it says: collect CPU, memory, disk, and process info locally using psutil. Consider the following before installing: (1) it enumerates processes and exposes usernames — avoid installing on systems where that would leak sensitive account information; (2) it requires installing the psutil Python package (from PyPI) — install that in a trusted or isolated environment if you have concerns; (3) the skill author and homepage are unknown, so if you need stronger assurance, review the included sysinfo.py source yourself or run it in a sandbox/VM first; (4) although the code has no networking or credential access, exercise usual caution when allowing autonomous agents to invoke skills.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

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