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 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/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/tashfeenahmed/circlechat/browser-skill"><img src="https://agentmods.dev/badge/skills/tashfeenahmed/circlechat/browser-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 103 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00101 | $0.01282 |
| Opus 5.5 | $0.00040 | $0.00513 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago First seen · 141 lines · 101 tokens per session scan A 3d8f7253a821
agent-browser is a skill published in the GitHub repository tashfeenahmed/circlechat (85 stars, last pushed 3d ago), licensed MIT. It adds 101 tokens to every session and 1,282 once invoked, about $0.0004 per session on Opus 5.5. 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-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.
firecrawl
Web scraping and crawling for AI agents via Firecrawl MCP. Scrape URLs to markdown, crawl websites, search the web, and extract structured data. Supports cloud API and self-hosted deployments including CRW (Rust alternative).
browser-automation
Automate browser tasks - navigate, click, type, fill forms, extract data, take screenshots.