adb-claw

adb-claw is an Android development skill for AI agents, published by LeoYeAI in the openclaw-master-skills repository on GitHub. Skillspace rates adb-claw D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Your eyes, hands, and ears on Android. See the screen (screenshot + indexed UI tree), interact (tap, swipe, scroll, type, clear-field), navigate via deep links (bypass CJK text input limits), wait for UI state changes instead of polling, monitor live UI text via accessibility framework (works during video playback), capture system audio (Android 11+, WAV stream for piping to ASR tools), manage full app lifecycle (install/uninstall/clear), control screen (on/off/unlock/rotation), run shell commands, and transfer files. Agent-optimized: structured JSON output, indexed element targeting, and App Profiles with pre-built deep links and layouts for popular apps.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
2,141

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, so go by its current files.

Our review

Architecture
89 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

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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