Capture and automate macOS UI with the Peekaboo CLI.
67
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 77%
↑ 1.92xAgent success when using this skill
Validation for skill structure
See-click-type reliable flow
Annotate before click
0%
100%
See before click order
0%
100%
Element ID targeting
0%
0%
Clear before type
100%
0%
Return for submission
100%
100%
Screenshot path saved
50%
100%
App targeting
0%
100%
Permissions check
0%
0%
Without context: $0.1514 · 40s · 9 turns · 14 in / 2,230 out tokens
With context: $0.2370 · 51s · 14 turns · 17 in / 2,561 out tokens
JSON scripting and capture parameters
JSON flag on list commands
53%
100%
Retina capture
100%
100%
AI analysis flag
100%
100%
Screenshot path output
100%
100%
Window-mode capture
100%
100%
polter invocation
0%
0%
App/window enumeration
100%
100%
Output format selection
0%
0%
Without context: $0.8526 · 3m 30s · 30 turns · 279 in / 8,861 out tokens
With context: $0.3736 · 1m 10s · 20 turns · 180 in / 4,423 out tokens
Gesture, keyboard, and motion parameters
Smooth scroll
0%
100%
Human movement profile
0%
0%
Drag duration
0%
100%
Hotkey comma syntax
0%
100%
Annotate before drag
0%
100%
Element ID for drag
0%
100%
Press with count
0%
100%
Scroll direction flag
100%
100%
Scroll amount
100%
100%
Without context: $0.3372 · 1m 22s · 19 turns · 24 in / 4,976 out tokens
With context: $0.4142 · 1m 30s · 20 turns · 26 in / 5,189 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.