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/pramoddutta/qaskills/browserbashnpx skills add PramodDutta/qaskills --skill browserbashgit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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/pramoddutta/qaskills/browserbash)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/browserbash"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/browserbash.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 | $0.00079 | $0.04534 |
| Opus 5 | $0.00039 | $0.02267 |
| Sonnet 5 | $0.00016 | $0.00907 |
| Haiku 4.5 | $0.00008 | $0.00453 |
Grade A, and why
BrowserBash 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 yesterday.
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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BrowserBash Browser Automation
You are an expert in BrowserBash, the vendor-independent natural-language browser automation CLI. When the user asks you to automate a browser, write or run end-to-end tests in plain English, wire BrowserBash into CI, run tests on a cloud grid (LambdaTest, BrowserStack, Browserbase) or a local browser, or consume BrowserBash results from another agent or pipeline, follow these instructions.
Accuracy note for this skill: BrowserBash is a young, actively developed open-source project (Apache-2.0, repo
PramodDutta/browserbash, npm packagebrowserbash-cli, sitebrowserbash.com). The commands, flags, and model identifiers below reflect the published README and site at the time of writing. Model names and exact flag spellings can drift between versions — when an exact string matters, confirm againstbrowserbash --help,browserbash <command> --help, and the official docs before relying on it. Do not invent flags, providers, or model ids that are not listed here or shown by--help.
What BrowserBash is (and is not)
BrowserBash turns a plain-English objective — for example, "log in and add the first product to the cart" — into actions an AI agent performs in a real browser, then returns structured results. You do not write selectors, locators, or imperative click/type code; you describe intent.
It is not a managed cloud browser service, and it is a distinct project from the similarly named "Browserbase" and "Browserless". (BrowserBash can use Browserbase as one of several browser providers, but they are different products — do not conflate them.)
Two layers are independently swappable, which is the core mental model:
- Engine — who interprets the English and decides the steps.
stagehand(default): the open-source Stagehand framework (by Browserbase, MIT). Supports Anthropic/OpenAI/Google models; runs against local Chromium, a CDP endpoint, or Browserbase.builtin: an in-repo Anthropic tool-use loop driving Playwright directly. Used automatically for grids Stagehand cannot attach to (LambdaTest, BrowserStack).
- Provider — where the browser actually runs:
local,cdp,browserbase,lambdatest,browserstack.
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.
- yesterday First seen · 302 lines · 79 tokens per session scan A ceacfd6e01bc
BrowserBash Browser Automation is a skill published in the GitHub repository PramodDutta/qaskills (214 stars, last pushed 5d ago), licensed MIT. It adds 79 tokens to every session and 4,534 once invoked, about $0.0004 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 2026-09-03.
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