BrowserAct is a browser automation system that lets AI agents use real, separate browser sessions to extract data and complete account-based web tasks. It is for agents and teams that need parallel workflows, reused login states, human handoffs, or access to sites that resist ordinary automated requests.
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/browser-act/skillsnpx agentmods add skills/browser-act/skills/etsy-category-listingWrote 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/browser-act/skills/etsy-category-listing)<a href="https://agentmods.dev/skills/browser-act/skills/etsy-category-listing"><img src="https://agentmods.dev/badge/skills/browser-act/skills/etsy-category-listing/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/browser-act/skills/etsy-category-listing"><img src="https://agentmods.dev/badge/skills/browser-act/skills/etsy-category-listing.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 | $0.00209 | $0.01863 |
| Opus 5.5 | $0.00084 | $0.00745 |
| Sonnet 5.5 | $0.00042 | $0.00373 |
| Haiku 4.5 | $0.00021 | $0.00186 |
Grade A, and why
etsy-category-listing 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Etsy — Category Listing
Input an Etsy category URL (and optional page number) → output paginated product listings from that category page.
Language
All process output to user (progress updates, process notifications) follows the user's language.
Objective
Collect product listings from Etsy public category (/c/...) pages, one page at a time, with core fields per item.
Prerequisites
- Target page is already open in the browser:
https://www.etsy.com/c/{category-path}(or navigate to it during execution) - No login required — category pages are public
- Browser session must survive anti-bot verification (DataDome). Best practice: navigate to
https://www.etsy.com/first, then to the category URL, within an established stealth browser session
Pre-execution Checks
1. Tool Readiness
If browser-act has been confirmed available in the current session → skip this step.
Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
2. Anti-bot Warm-up
If a fresh browser session was just created, before hitting a /c/ URL directly:
navigate https://www.etsy.com/→wait stable- Then
navigate {category URL}→wait stable
If the extraction script returns {"error": true, "message": "blocked by anti-bot verification page"}, switch to a stealth browser with a different fingerprint / proxy, retry the warm-up, then re-run extraction.
Capability Components
This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the
scripts/directory, invoked viaeval "$(python scripts/xxx.py {params})".$(...)is bash syntax; it is recommended to use the bash tool for execution.
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 · 119 lines · 209 tokens per session scan A c5aa34b7a2db
etsy-category-listing is a skill published in the GitHub repository browser-act/skills (6,273 stars, last pushed 2mo ago), licensed MIT. It adds 209 tokens to every session and 1,863 once invoked, about $0.0008 per session on Opus 5.5. 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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