Webapp Qa

OrganizationPopular

Prismer-AI

webapp-qa

Perform scoped exploratory QA of a web application, reproduce defects, collect screenshots and console evidence, and deliver a prioritized report.

Overview

Publisher	Prismer-AI
Repository	`PrismerCloud`
Skill name	`webapp-qa`
Stars	1.6K
Forks	17
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Webapp Qa AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/webapp-qa
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/webapp-qa .claude/skills/webapp-qa

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webapp Qa in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Webapp Qa on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Webapp Qa is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Web Application QA

For the full five-phase exploratory method, read references/dogfood/GUIDE.md; its taxonomy and report-template links resolve within this bundle.

Use the user-supplied target URL, scope and existing test accounts. Inspect the available browser tools or Playwright setup first; never invent browser tool names. Without a working browser, report the blocker and limit claims to checks actually performed.

Map the main user journeys, navigation, forms and error/empty states.
Exercise each journey with positive and negative inputs. Inspect console and network failures after navigation and significant interactions.
Inspect screenshots at desktop and mobile sizes for clipping, overlap, loading failures and keyboard accessibility.
Reproduce each suspected defect. Record URL, exact steps, expected/actual behavior, console evidence and screenshot file. Separate application bugs from unavailable dependencies or test-environment failures.
Deduplicate, prioritize by user impact, and use references/issue-taxonomy.md plus templates/dogfood-report-template.md as report structure.
State tested, untested and blocked areas. Passing HTTP status alone is not a passing user journey. Never fill missing evidence with plausible descriptions.
Attach the report and requested evidence as task-bound assets using the actual platform delivery contract. Do not invent flags or use MEDIA markers.

Use a task-owned local fixture for browser-tool smoke tests before touching a live account. Record desktop/mobile viewport, keyboard, console, clipping and positive/negative form results independently; a fixture does not certify the user's real application.

Keep test mutations within the user's authorized scope. Do not submit real payments or send external messages as incidental QA actions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

NOTICE.md2 KB
references/dogfood/GUIDE.md6 KB
references/issue-taxonomy.md4 KB
templates/dogfood-report-template.md2 KB

Frequently asked questions

What does the Webapp Qa AI skill do?

Perform scoped exploratory QA of a web application, reproduce defects, collect screenshots and console evidence, and deliver a prioritized report.

Why use Webapp Qa on TypingMind?

Because you install it once and use it with any model. Webapp Qa is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Webapp Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/webapp-qa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Webapp Qa?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Webapp Qa?

As many as you like. As long as a model supports skills, you can use Webapp Qa with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Webapp Qa AI skill free?

Yes. It is published on GitHub by Prismer-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Web Application QA

Bundled files

Frequently asked questions

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