Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/smallnest/goclawnpx agentmods add skills/smallnest/goclaw/burner-phoneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/smallnest/goclaw/burner-phone)<a href="https://agentmods.dev/skills/smallnest/goclaw/burner-phone"><img src="https://agentmods.dev/badge/skills/smallnest/goclaw/burner-phone/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/smallnest/goclaw/burner-phone"><img src="https://agentmods.dev/badge/skills/smallnest/goclaw/burner-phone.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00448 |
| Opus 5 | $0.00016 | $0.00224 |
| Sonnet 5 | $0.00007 | $0.00090 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
burner-phone scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Burner Phone Control
Use this skill for ANY request involving phone screens or mobile app automation.
Vision Feedback Loop
ALWAYS follow this pattern:
-
Screenshot: Capture the current screen
bash(cmd="adb exec-out screencap -p > ./assets/screen.png") -
Analyze: Use vision model to understand the screen
bash(cmd="python3 ./scripts/vision_helper.py ./assets/screen.png \"Describe the screen and list coordinates (x,y) for interactable elements.\"") -
Act: Perform the action using exact coordinates from step 2
bash(cmd="adb shell input tap <x> <y>") -
Verify: Screenshot again to confirm the action worked
Available Commands
Tapping
bash(cmd="adb shell input tap <x> <y>")
Swiping
bash(cmd="adb shell input swipe <x1> <y1> <x2> <y2> <duration_ms>")
Typing Text
bash(cmd="adb shell input text 'your text here'")
Key Events
bash(cmd="adb shell input keyevent KEYCODE_HOME")
bash(cmd="adb shell input keyevent KEYCODE_BACK")
bash(cmd="adb shell input keyevent KEYCODE_ENTER")
Launch App
bash(cmd="adb shell am start -n com.package.name/.MainActivity")
Rules
- ALWAYS screenshot before acting - never guess coordinates
- ALWAYS use vision_helper.py to get coordinates
- Use coordinates provided by the vision tool EXACTLY
- All paths are relative to the skill root directory
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 68 lines · 33 tokens per session scan A 7c5c55e40cbb
burner-phone is a skill published in the GitHub repository smallnest/goclaw (602 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 448 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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