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/tashfeenahmed/circlechat/browser-skillnpx skills add tashfeenahmed/circlechat --skill browser-skillgit clone --depth 1 https://github.com/tashfeenahmed/circlechatWrote 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/tashfeenahmed/circlechat/browser-skill)<a href="https://agentmods.dev/skills/tashfeenahmed/circlechat/browser-skill"><img src="https://agentmods.dev/badge/skills/tashfeenahmed/circlechat/browser-skill.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 | $0.00101 | $0.01282 |
| Opus 5 | $0.00051 | $0.00641 |
| Sonnet 5 | $0.00020 | $0.00256 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
agent-browser scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl`**. Use `python3` for every HTTP call below. How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-browser — browser automation over HTTP
Chromium runs as a shared daemon on the host (one browser across all agents).
You drive it by POST'ing to /agent-api/browser with the CLI verb + args.
Response is {exitCode, stdout, stderr} as JSON.
The shell you're in
Hermes agents (Nova, Ada, …): your container has python3 but not
curl. Use python3 for every HTTP call below.
OpenClaw agents (Max, …): your container has both curl and python3.
Either works; curl is shorter.
Python helper (works everywhere)
Paste this at the top of your terminal block, then call ab() repeatedly in
the same turn:
import json, os, urllib.request
API = os.environ.get("CC_API_BASE", "http://localhost:3300/api")
TOKEN = os.environ["CC_BOT_TOKEN"]
def ab(cmd, args=None, stdin=None):
body = json.dumps({"cmd": cmd, "args": args or [], "stdin": stdin}).encode()
req = urllib.request.Request(
f"{API}/agent-api/browser",
data=body,
headers={"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"},
method="POST",
)
with urllib.request.urlopen(req, timeout=50) as r:
return json.loads(r.read())
Recipes
Read the visible text of a page (most common — research/citations):
ab("open", ["https://example.com"])
print(ab("get text", ["body"])["stdout"])
ab("close")
Accessibility snapshot with element refs (best for AI — gives you @e1,
@e2, … handles to click/fill by):
print(ab("snapshot")["stdout"])
Click an element by ref from a snapshot:
ab("click", ["@e3"])
Find + act by semantic locator (resilient to page redesigns):
ab("find role", ["button", "click", "--name", "Submit"])
ab("find text", ["Sign In", "click"])
ab("find label", ["Email", "fill", "[email protected]"])
Evaluate JavaScript on the current page:
print(ab("eval", ["document.title"])["stdout"])
Open → snapshot → extract → close in one turn (preferred):
What ships with it
1 file 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.
- 4d ago First seen · 141 lines · 101 tokens per session scan A 3d8f7253a821
agent-browser is a skill published in the GitHub repository tashfeenahmed/circlechat (57 stars, last pushed 9d ago), licensed MIT. It adds 101 tokens to every session and 1,282 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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.
browser-automation-cdp
Headless browser automation via Chrome DevTools Protocol (CDP) for dynamic web scraping, UI interaction, and screenshotting.
c-browser
Headless browser automation — navigate pages, click elements, fill forms, take screenshots, scrape content using agent-browser or playwright-cli.
tinyfish-integration
Integrate TinyFish web toolkit (search, fetch, browser automation) into Hermes Agent.