SKILLEMALL.ai

AC android-adb

Execute Android ADB (Android Debug Bridge) commands for device management, app management, debugging, and automation. Use when the user requests any ADB-related operation such as: (1) Device management — list/connect/disconnect devices, query device info, WiFi debugging; (2) App management — install/uninstall APKs, start/stop apps, clear data, manage permissions; (3) Debugging — logcat capture and filtering, crash log extraction, process inspection; (4) Screen capture — screenshots, screen recording; (5) Performance profiling — memory/CPU/battery/GPU stats; (6) File transfer — push/pull files between host and device; (7) Input simulation — tap, swipe, key events, text input; (8) Network control — WiFi/data toggle, proxy settings; (9) System info — device properties, display info, settings. Also triggers when the user says 'adb', mentions Android device operations, or asks to debug an Android app via command line.

ClawHub Agent Skills author: cwener v0.1.0 MIT-0 8 files · 5 scripts body ≈ 1 939 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 40Consistency. Frontmatter name (android-adb) differs from the folder (android-adb-2)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 29 steps
    • 100Failures and branches. 6 branches, has a failure section
    • 100Execution cost. Instruction body is 1939 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 926: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (17 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This ADB skill is mostly coherent, but it needs review because it can control Android devices and includes unsafe shell command construction around log capture.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026