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 agentmods add skills/daxaur/openpaw/c-browsernpx skills add daxaur/openpaw --skill c-browsergit clone --depth 1 https://github.com/daxaur/openpawWrote 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/daxaur/openpaw/c-browser)<a href="https://agentmods.dev/skills/daxaur/openpaw/c-browser"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-browser.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00324 |
| Opus 5 | $0.00015 | $0.00162 |
| Sonnet 5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
c-browser 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 4d 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
agent-browser (Vercel)
Navigate and interact with web pages using structured snapshots:
# Open a URL
agent-browser open "https://example.com"
# Get interactive element snapshot (shows clickable refs)
agent-browser snapshot -i
# Click an element by ref
agent-browser click @e2
# Fill a form field
agent-browser fill @e5 "search query"
# Take annotated screenshot
agent-browser screenshot --annotate
# Type text
agent-browser type "hello world"
# Press keys
agent-browser press Enter
playwright-cli (Microsoft)
Token-efficient browser automation designed for AI agents:
# Install browser (first time)
playwright-cli install-browser
# Navigate to URL
playwright-cli navigate "https://example.com"
# Get page snapshot
playwright-cli snapshot
# Click element
playwright-cli click "Submit button"
# Fill input
playwright-cli fill "Search" "query text"
# Screenshot
playwright-cli screenshot
Guidelines
- Use agent-browser for AI-driven web interaction (snapshot-ref pattern)
- Use playwright-cli for structured automation and testing flows
- Always check snapshots before clicking — element refs change between pages
- For login flows, navigate step by step and verify each page loads
- Respect robots.txt and rate limits when scraping
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.
- 4d ago First seen · 67 lines · 29 tokens per session scan A f660c1b3f97c
c-browser is a skill published in the GitHub repository daxaur/openpaw (167 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 324 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.
Other skills, from other repositories
browser-automation
Playwright-based browser automation patterns for autonomous web interaction.
browser-automation
Playwright-based browser automation patterns for autonomous web interaction.
web-browse
Drive a headless browser to navigate pages, read content, click, and fill forms — for sites that need JavaScript rendering or interaction beyond a plain HTTP fetch.
agent-browser
Drive a real headless Chromium on the workspace host to read pages, fill forms, click buttons, run JS, and take screenshots. Use this whenever you need more than a plain HTTP fetch — pages that require JS to render, pages with an interactive element you have to click through, or when you want an accessibility-tree…
browser-automation-cdp
Headless browser automation via Chrome DevTools Protocol (CDP) for dynamic web scraping, UI interaction, and screenshotting.
tinyfish-integration
Integrate TinyFish web toolkit (search, fetch, browser automation) into Hermes Agent.