SKILLEMALL.ai

AC computer-control

Control the computer like a human: take screenshots, move/click the mouse, type text, press hotkeys, scroll, launch apps, and run AppleScript — via the dependency-free `tarsx` CLI (zero config, no API keys). Click windows by app name (`clickwin`), no pixel guessing. Cross-platform core with auto-detected backends: macOS first (cliclick/osascript/screencapture), Linux (xdotool), Windows (PowerShell). Non-ASCII text (Cyrillic, emoji) works out of the box via clipboard paste. Use when the user asks to open/close an app, click or type somewhere, take a screenshot, automate a GUI application, fill a desktop form, check what is on screen, or any GUI automation that shell/browser tools cannot reach. Ukrainian triggers: "відкрий/закрий програму", "натисни", "набери", "зроби скріншот", "керуй комп'ютером". Inspired by Agent TARS (GUI-first computer use), implemented natively.

ClawHub Agent Skills author: Vadym Viver v1.0.3 MIT-0 8 files · 4 scripts body ≈ 1 333 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

Control the computer like a human: take screenshots, move/click the mouse, type text, press hotkeys, scroll, launch apps, and run AppleScript — via the…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 17 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1333 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 879: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (2 code blocks)
    • +3All 2 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This skill openly provides powerful local computer-control features, but its unrestricted AppleScript and shell-backed app launching create broad authority that users should review carefully before installing.
    LLM: suspicious (high) · 25 Sept 2026