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BD android-gui-automation

Android GUI automation via MCP — MiniMax calls uiautomator2 tools through MCP protocol to control phone screens like a human. Supports ALL Android apps (Taobao, Pinduoduo, Xiaohongshu, Douyin, JD, WeChat). Use when: user wants phone automation, app control, price monitoring, social media posting, screen scraping, or any human-like phone operation from an AI agent. Works on Termux + MiniMax MCP. Can: click, swipe, type, screenshot, search, post, compare prices, schedule tasks, send alerts.

ClawHub Agent Skills author: SMS v3.0.0 MIT-0 6 files body ≈ 1 267 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
93
Quality 40%
64
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Exfiltration exfil-webhook-url scripts/taobao_price_monitor.py:207
      Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
      url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
      quoted
    • low Exfiltration exfil-webhook-url references/setup-guide.md:93
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      curl -X POST "https://api.telegram.org/bot<TOKEN>/sendMessage" \
      placeholder
    • low Exfiltration exfil-webhook-url scripts/android_automation.py:247
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      url = f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendMessage"
      placeholder

    Files scanned: 6. 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 2, column 14: description: Android GUI automation via MCP — MiniMax calls uiautomator2 tools … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "emoji"

    Process rating: all ten parameters 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1267 tokens
    • low 10 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
    • -224 emoji in the instructions: noise for the model
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -32 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 493: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (10 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

    External checks

    ClawHub: suspicious
    This skill is openly for Android phone automation, but it gives an agent broad control over a real device and logged-in apps without enough consent gates or scoping.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026