SKILLEMALL.ai

BD openclaw-android-control

Use when controlling Android from OpenClaw via ADB, wireless debugging, Termux, intents, UI automation, app launching, screenshots, logging, and safe message actions with verification and recovery.

ClawHub Agent Skills author: Suga Nick v1.0.0 MIT-0 5 files body ≈ 2 927 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 6, column 12: changelog: ClawHub professional standard: Overview, When to Use, How to Use, Co… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"
    • note frontmatter-key unknown frontmatter key "emoji"

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (openclaw-android-control) differs from the folder (android-control)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 35 steps
    • 100Execution cost. Instruction body is 2927 tokens
    • 100Progress reporting. Reports progress
    • low 43 top-level sections: this looks like several domains in one skill

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 197: enough signal without eating the budget
    • +4Structure: 44 headings
    • +3Step-by-step instructions: 35 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

    External checks

    ClawHub: clean
    This is a powerful but coherent Android-control skill that clearly describes ADB, Termux, intents, UI automation, and safety checks without hidden install code or unrelated behavior.
    LLM: benign (high) · VirusTotal: · 22 Aug 2026