deploy-macos

deploy-macos is a Local & open models skill for AI agents, published by Mesh-LLM in the mesh-llm repository on GitHub. Skillspace rates deploy-macos F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Use this skill when deploying, installing, launching, or serving mesh-llm on a macOS machine (local or remote over SSH), including installing a release, shipping a dev build bundle, codesign/quarantine fixes, choosing a model, and verifying it serves.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
3,400

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
91 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • destructive rm -rf on home/root
  • pipe remote script to shell
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.