Smoke TestCAUTION
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Overview
Mastra is the modern TypeScript framework for AI-powered applications and agents.
64a13e040f4fOBSERVED · 2026-10-23Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: smoke-test
description: Create a Mastra project using create-mastra and smoke test the studio in Chrome using Chrome MCP server
model: claude-opus-4-5
---
# Smoke Test Skill
Creates a new Mastra project using `create-mastra@<tag>` and performs smoke testing of the Mastra Studio in Chrome.
**This skill is for Claude Code with Chrome MCP server.** For MastraCode with built-in browser tools, use `mastracode-smoke-test` instead.
## Usage
```
/smoke-test --directory <path> --name <project-name> --tag <version> [--pm <package-manager>] [--llm <provider>]
/smoke-test -d <path> -n <project-name> -t <version> [-p <package-manager>] [-l <provider>]
```
## Parameters
| Parameter | Short | Description | Required | Default |
| ------------- | ----- | ---------------------------------------------------------------------------- | -------- | -------- |
| `--directory` | `-d` | Parent directory where project will be created | **Yes** | - |
| `--name` | `-n` | Project name (will be created as subdirectory) | **Yes** | - |
| `--tag` | `-t` | Version tag for create-mastra (e.g., `latest`, `alpha`, `0.10.6`) | **Yes** | - |
| `--pm` | `-p` | Package manager: `npm`, `yarn`, `pnpm`, or `bun` | No | `npm` |
| `--llm` | `-l` | LLM provider: `openai`, `anthropic`, `groq`, `google`, `cerebras`, `mistral` | No | `openai` |
## Examples
```sh
# Minimal (required params only)
/smoke-test -d ~/projects -n my-test-app -t latest
# Full specification
/smoke-test --directory ~/projects --name my-test-app --tag alpha --pm pnpm --llm anthropic
# Using short flags
/smoke-test -d ./projects -n smoke-test-app -t 0.10.6 -p bun -l openai
```
## Step 0: Parameter Validation (MUST RUN FIRST)
**CRITICAL**: Before proceeding, parse the ARGUMENTS and validate:
1. **Parse arguments** from the ARGUMENTS string provided above
2. **Check required parameters**:
- `--directory` or `-d`: REQUIRED - fail if missing
- `--name` or `-n`: REQUIRED - fail if missing
- `--tag` or `-t`: REQUIRED - fail if missing
3. **Apply defaults** for optional parameters:
- `--pm` or `-p`: Default to `npm` if not provided
- `--llm` or `-l`: Default to `openai` if not provided
4. **Validate values**:
- `pm` must be one of: `npm`, `yarn`, `pnpm`, `bun`
- `llm` must be one of: `openai`, `anthropic`, `groq`, `google`, `cerebras`, `mistral`
- `directory` must exist (or will be created)
- `name` should be a valid directory name (no spaces, special chars)
**If validation fails**: Stop and show usage help with the missing/invalid parameters.
**If `-h` or `--help` is passed**: Show this usage information and stop.
## Prerequisites
This skill requires the **Chrome MCP server** (Claude-in-Chrome) for browser automation. Ensure it's configured and running.
The Chrome MCP server provides tools like `tabs_create_mcp`, `tabs_context_mcp`, `navigate_mcp`, `click_mcp`, `type_mcp`, and `screenshot_mcp`.
## Execution Steps
### Step 1: Create the Mastra Project
Run the create-mastra command with explicit parameters to avoid interactive prompts:
```sh
# For npm
npx create-mastra@<tag> <project-name> --no-git --llm <llmProvider> --timeout 120000
# For yarn
yarn dlx create-mastra@<tag> <project-name> --no-git --llm <llmProvider> --timeout 120000
# For pnpm
pnpm create mastra@<tag> <project-name> --no-git --llm <llmProvider> --timeout 120000
# For bun
bunx create-mastra@<tag> <project-name> --no-git --llm <llmProvider> --timeout 120000
```
`-c/--components` and `-e/--example` were removed and must not be used. `-l/--llm` is still supported and is the flag used above. Use the managed template by default, `--empty` for a deliberately empty project, or `--template <template>` for a specific template. If a flag is rejected, inspect the initializer's help rather than retrying a legacy command: `npm create mastra@<tag> -- --help`, `npx create-mastra@<tag> --help`, `pnpm create mastra@<tag> --help`, `yarn dlx create-mastra@<tag> --help`, or `bunx create-mastra@<tag> --help`.
Wait for the installation to complete. This may take 1-2 minutes depending on network speed.
### Step 2: Verify Project Structure
After creation, verify the project has:
- `package.json` with mastra dependencies
- `src/mastra/index.ts` exporting a Mastra instance
- `.env` file (may need to be created)
### Step 2.5: Add Browser Agent for Browser Testing
To test browser functionality, add a browser-enabled agent:
1. **Install browser packages**:
```sh
<pm> add @mastra/stagehand
# or for deterministic browser automation:
<pm> add @mastra/agent-browser
```
2. **Create browser-agent.ts** in `src/mastra/agents/`:
```typescript
import { Agent } from '@mastra/core/agent';
import { Memory } from '@mastra/memory';
import { StagehandBrowser } from '@mastra/stagehand';
export const browserAgent = new Agent({
id: 'browser-agent',
name: 'Browser Agent',
instructions: `You are a helpful assistant that can browse the web to find information.`,
model: '<provider>/<model>', // e.g., 'openai/gpt-4o'
memory: new Memory(),
browser: new StagehandBrowser({
headless: false,
}),
});
```
3. **Update index.ts** to register the browser agent:
```typescript
import { browserAgent } from './agents/browser-agent';
// In Mastra config:
agents: { weatherAgent, browserAgent },
```
### Step 3: Configure Environment Variables
Based on the selected LLM provider, check for the required API key:
| Provider | Required Environment Variable |
| --------- | ------------------------------ |
| openai | `OPENAI_API_KEY` |
| anthropic | `ANTHROPIC_API_KEY` |
| groq | `GROQ_API_KEY` |
| google | `GOOGLE_GENERATIVE_AI_API_KEY` |
| cerebras | `CEREBRAS_API_KEY` |
| mistral |Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (1 observation(s))
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.claude/commands/changeset.md
.claude/commands/commit.md
.claude/commands/critique-pr.md
.claude/commands/document.md
.claude/commands/gh-bulk-issues.md
Gates applied: no_behavioural_pass.
64a13e040f4ffull audit observations/trust-audit/skill/mastra-ai__smoke-test.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-23 | 64a13e040f4f | CAUTION | B | 89 | first audit |
Questions
What does the smoke-test — mastra-ai/mastra skill do?
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Is smoke-test — mastra-ai/mastra safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can smoke-test — mastra-ai/mastra access on my machine?
The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.
Which assistants does smoke-test — mastra-ai/mastra work with?
Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (64a13e040f4f), read on 2026-10-23. The repository is watched, and a new audit runs when it changes — this is the first audit.
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