Test Check

Community

faizkhairi

test-check

MUST use after implementing new features or bug fixes, when user asks 'run the tests', 'are tests passing?', 'test this', or before any deployment step. Also trigger when tests were previously failing and fixes were applied.

Overview

Publisher	faizkhairi
Repository	`claude-code-blueprint`
Skill name	`test-check`
Stars	73
Forks	22
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by faizkhairi on GitHub. Read the source before you install it.

Installation

Install the Test Check 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/faizkhairi/claude-code-blueprint/tree/main/skills/test-check
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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/test-check .claude/skills/test-check

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

Use it in TypingMind

Enable Test Check 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 Test Check 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 Test Check 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.

Run the full test suite and provide analysis:

Detect active project from current working directory or recent context:
- Check CLAUDE.md or the project manifest (package.json, pyproject.toml, Gemfile, pom.xml, etc.) for the test command
- Common patterns: yarn test:unit/npm test/npx vitest run (JS), pytest (Python), bundle exec rspec (Ruby), go test ./... (Go), mvn test (Java), cargo test (Rust), dotnet test (.NET)
- Default (no context): ask which project
Run the appropriate test command and capture output
Report summary: total tests, passed, failed, skipped, duration
If failures exist: analyze root cause of each failing test
Compare against known baselines:
- Check CLAUDE.md for the documented test baseline count for the active project
- If no baseline is documented: parse the test summary output line for total count; compare against previous runs if agent memory has a baseline
- If actual count is higher than baseline, the test suite grew; if lower, investigate missing tests
Check if recently modified files have corresponding tests
Identify test coverage gaps for critical paths
Suggest new tests if coverage is insufficient
E2E tests (run if user says "e2e", "all", or "full"):
- Check CLAUDE.md for the dev server port and E2E test command
- Check if dev server is running on that port before proceeding
- Run E2E test command from CLAUDE.md (e.g., yarn test:e2e or npm run test:e2e, or the project's E2E command)
- E2E baselines: documented in CLAUDE.md
- Parse the E2E runner's output (Playwright, Cypress, Selenium, Capybara, etc.): passed/failed/skipped counts
- On failure: note which spec file and test name failed
- If dev server is NOT running, report and skip (do NOT auto-start)

Present results in a clear dashboard format.

Frequently asked questions

What does the Test Check AI skill do?

Why use Test Check on TypingMind?

Because you install it once and use it with any model. Test Check 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 Test Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/faizkhairi/claude-code-blueprint/tree/main/skills/test-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Test Check?

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 Test Check?

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

Is the Test Check AI skill free?

Yes. It is published on GitHub by faizkhairi 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

Frequently asked questions

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