A browser-based quality check for real user flows such as opening pages, clicking controls, filling forms, navigating, and signing in. It records assertions and a screenshot as evidence.

Use it for acceptance checks, end-to-end tests that cover a complete user journey, smoke tests after a release, and checking forms, navigation, or login flows.

It catches problems that code-level tests may miss in the visible website and its interactions. The result is reported as a pass or failure based on what the browser actually shows.

qa — Skill for Claude Code by mtthsnc/tempest

Install

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.

Any agent

npx skills add mtthsnc/tempest --skill qa

Clone the repo

git clone --depth 1 https://github.com/mtthsnc/tempest

Made for: Claude Code.

Or install tempest, the plugin that ships this one along with the rest of its 8 skills, 9 commands.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/mtthsnc/tempest/qa/github.svg)](https://agentmods.dev/skills/mtthsnc/tempest/qa)

Your own site

<a href="https://agentmods.dev/skills/mtthsnc/tempest/qa"><img src="https://agentmods.dev/badge/skills/mtthsnc/tempest/qa/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/mtthsnc/tempest/qa"><img src="https://agentmods.dev/badge/skills/mtthsnc/tempest/qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,161 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00094	$0.01161
Opus 5.5	$0.00038	$0.00464
Sonnet 5.5	$0.00019	$0.00232
Haiku 4.5	$0.00009	$0.00116

Measured 1mo ago against content hash 2d9ae1b88e4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa 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.

plugins/tempest/skills/qa/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

qa — browser-driven UI acceptance via agent-browser

Overview

Prove the feature works the way a user would hit it — in a real browser. This skill drives agent-browser to open pages, read the live accessibility tree, interact with real elements, and assert observable state, then reports PASS/FAIL backed by a screenshot and a held assertion.

This is a STARTER skill — a generic spine. Rewrite the procedure, the flows you smoke-test, and the stop boundaries below to encode your own product's critical paths and acceptance bar.

This skill is harness-adaptive over the same agent-browser command vocabulary:

On pi: prefer the native agent_browser tool (from the pi-agent-browser-native extension). Input modes: args — raw CLI args, e.g. ["open","<url>"], ["snapshot","-i"], ["click","@e2"], ["screenshot","<path>"]; job — a steps array for multi-step smoke flows with actions open/click/fill/assertText/assertUrl/waitForDownload/screenshot; and qa — smoke/evidence mode that may reclassify diagnostics as failure. Use the companion agent_browser_web_search to find URLs (don't drive Google's form — captcha risk).
On Claude Code (or any harness without that tool): drive the SAME agent-browser CLI via the shell/Bash — agent-browser open <url>, agent-browser snapshot -i, agent-browser click @e1, agent-browser screenshot <path>, etc.

Prefer the native agent_browser tool if available; otherwise use the CLI via the shell. The workflow is identical either way.

Setup: requires the agent-browser CLI on PATH (and on pi, the pi-agent-browser-native extension). If it's missing, run the repo's scripts/doctor.sh or pi-agent-browser-doctor.

Procedure

1. Frame the acceptance

Restate what "works" means as an observable outcome: a URL reached, text rendered, a download produced. If that's ambiguous, ask the user now.
Pick the entry URL. If you only have a name, use agent_browser_web_search (or a known direct URL) to find it — never drive a public search-engine form.

Read the full file on GitHub · 79 lines

Changes

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 · 79 lines · 94 tokens per session scan A 2d9ae1b88e4c

Subscribe to this mod's changes

qa is a skill published in the GitHub repository mtthsnc/tempest (2 stars, last pushed 3mo ago), licensed MIT. It adds 94 tokens to every session and 1,161 once invoked, about $0.0004 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 2026-08-31.

Browser automation Claude Code E2E testing Testing agent-skills ai-agents developer-tools pi software-factory

test-browser

Run browser tests on pages affected by current PR or branch.

gvkhosla/compound-engineering-pi · 14 tokens

agent-browser

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

w-winter/dot314 · 51 tokens

browse

Drive a real browser through Aside: open a page, read it, click through a flow, take screenshots, check console errors. (gstack).

garrytan/gstack · 32 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

create-verification-skill

Create a repo-local verification skill and exhaustive feature map for driving a real app through its UI, CLI, or API. Use for "create a verification skill", "make a verify skill for this repo", or "document how agents can verify this app".

get-bb/bb · 57 tokens

browser-qa

A browser-based quality check for deployed web pages and user flows. It uses browser automation to test rendering, navigation, forms, interactions, responsive behaviour, and accessibility-related issues.

hashgraph-online/awesome-codex-plugins · 58 tokens