macos-control-skill

macos-control-skill is a Browser & computer-use automation skill for AI agents, published by OpenLoaf in the OpenLoaf repository on GitHub. Skillspace rates macos-control-skill D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Triggered when the user asks the AI to directly operate their macOS desktop: open an app, click a button, fill a form inside a native window, read what's currently on screen, automate a local GUI flow. Typical phrasing: "in Finder, please…", "click X in the Y app", "what's on my screen right now". **Available only in OpenLoaf Desktop (macOS)**; other platforms return a desktop-only error — fall back to `BrowserAct` or hand the task back to the user. **Not for**: in-page web interaction (→ `browser-ops-skill`), local file I/O (→ `Read`/`Edit`/`Write`).

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
77

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

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
AGPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • 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

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