SKILLEMALL.ai

BC clawpaw-setup

Guide users through ClawPaw Android setup — installing the APK, granting permissions, connecting SSH tunnel, and verifying the full LLM-to-phone control chain. Use when a user wants to set up ClawPaw, install the app, connect a new phone, or troubleshoot connection issues.

ClawHub Claude Code author: wzliu888 v1.0.0 MIT-0 19 files · 3 scripts body ≈ 1 083 tokens Open the sourceclawhub.ai↗ analyzed 13 d ago

Guide users through ClawPaw Android setup — installing the APK, granting permissions, connecting SSH tunnel, and verifying the full LLM-to-phone control chain.

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
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

    • note frontmatter-key unknown frontmatter key "tools"

    Process rating: all ten parameters 64/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (clawpaw-setup) differs from the folder (clawpaw-phone-control)
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 13 steps, 1 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 1083 tokens
    • 100Running it twice. No mutating operations

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 273: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (6 code blocks)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This appears to be a real ClawPaw phone setup/control package, but it grants powerful Android access and handles phone-control credentials and screenshots in risky ways.
    LLM: suspicious (high) · VirusTotal: · 11 Sept 2026