Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tubecreate/tubecli --skill browsergit clone --depth 1 https://github.com/tubecreate/tubecliWrote 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/tubecreate/tubecli/browser)<a href="https://agentmods.dev/skills/tubecreate/tubecli/browser"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/browser/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/tubecreate/tubecli/browser"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00374 |
| Opus 5 | $0.00009 | $0.00187 |
| Sonnet 5 | $0.00004 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
Browser Automation 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 9d 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
Browser Automation Extension
Manage anti-detect browsers with fingerprint spoofing, with proxy and cookie support.
Keyword Triggers (Tier 1 — 0 token)
The following commands are handled directly, WITHOUT calling the AI:
| Command | Example |
|---|---|
| List profiles | "list browser", "danh sách browser", "danh sách profile" |
| Open browser | "mở browser testlive", "open browser testlive", "launch profile chan" |
| Create profile | "tạo browser profile myname", "create profile abc" |
| Close browser | "đóng browser testlive", "stop browser testlive", "tắt browser" |
| Delete profile | "xóa browser profile old1", "delete profile abc" |
API Endpoints
| Method | Endpoint | Description |
|---|---|---|
| GET | /api/v1/browser/profiles |
List all profiles |
| POST | /api/v1/browser/profiles |
Create profile: {"name": "xxx"} |
| POST | /api/v1/browser/launch |
Open browser: {"profile": "xxx"} |
| POST | /api/v1/browser/stop |
Close browser: {"profile": "xxx"} |
| DELETE | /api/v1/browser/profiles/{name} |
Delete profile |
| GET | /api/v1/browser/status |
Status of running instances |
Browser Actions (Node.js)
15 action modules available: browse, click, comment, extract_content, login, navigate, read_gmail, save_image, search, search_extract, type, visual_scan, watch, captcha_helper, mouse_helper.
What ships with it
60 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.
- __init__.py 154 B runs code
- 29.8.1_64.json 172 B
- 29.9.2_64.json 133 B
- 30.0.0_64.json 133 B
- 30.1.0_64.json 133 B
- 30.2.0_64.json 133 B
- actions/browse.js 2.0 KB runs code
- actions/captcha_helper.js 2.0 KB runs code
- actions/click.js 20 KB runs code
- actions/comment.js 4.1 KB runs code
- actions/extract_content.js 20 KB runs code
- actions/login.js 29 KB runs code
- actions/mouse_helper.js 2.6 KB runs code
- actions/navigate.js 2.1 KB runs code
- actions/read_gmail.js 4.6 KB runs code
- actions/save_image.js 4.9 KB runs code
- actions/search_extract.js 1.3 KB runs code
- actions/search.js 8.3 KB runs code
- actions/type.js 1.8 KB runs code
- actions/visual_scan.js 864 B runs code
- actions/watch.js 5.8 KB runs code
- agent.json 8.9 KB
- ai_engine.js 22 KB runs code
- auth_status.json 17 KB
- browser_manager.js 122 KB runs code
- chatgpt_dom.txt 378 KB
- chatgpt_test.png 53 KB
- commands.py 6.5 KB runs code
- compare_fingerprints.js 2.9 KB runs code
- cookie_tool.cjs 4.0 KB runs code
- debug_ai.js 522 B runs code
- debug_plugin.js 722 B runs code
- dump_fingerprint_keys.js 1005 B runs code
- ev_green_tech_agent.json 9.5 KB
- extension.py 3.8 KB runs code
- financial_analyst.json 6.5 KB
- gpu_monitor.js 2.1 KB runs code
- group_actions.py 43 KB runs code
- insurance_agent.json 3.4 KB
- locales/en.json 13 KB
- locales/es.json 14 KB
- locales/ja.json 16 KB
- locales/ko.json 15 KB
- locales/ru.json 18 KB
- locales/tr.json 14 KB
- locales/vi.json 15 KB
- locales/zh-TW.json 14 KB
- locales/zh.json 14 KB
- open_fix.js 9.5 KB runs code
- open.js 107 KB runs code
- package-lock.json 60 KB
- package.json 1.1 KB
- preview_server.cjs 71 KB runs code
- process_manager.py 71 KB runs code
- profile_manager.py 42 KB runs code
- proxy_pool.py 22 KB runs code
- proxy_relay.py 17 KB runs code
- routes.py 183 KB runs code
- run_trail.js 1.6 KB runs code
- session_manager.js 57 KB runs code
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.
- 9d ago First seen · 36 lines · 18 tokens per session scan A 73192c7a3f1c
Browser Automation is a skill published in the GitHub repository tubecreate/tubecli (167 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 374 once invoked, about $0.0001 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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