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Testerarmy Cli

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novuhq
testerarmy-cli

Use TesterArmy CLI to create, organize, and run dashboard-managed QA tests. Prefer saved tests, groups, project context, credentials, and remote runs over one-off local prompts. Trigger when defining regression coverage, adding QA flows, or wiring CI checks.

Overview

Publishernovuhq
Repositorynovu
Skill nametesterarmy-cli
Stars
40.1K
Forks
4.5K
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by novuhq on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/novuhq/novu/tree/next/.agents/skills/testerarmy-cli
  4. 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.
2

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/novuhq/novu.git /tmp/novu
mkdir -p .claude/skills
cp -r /tmp/novu/.agents/skills/testerarmy-cli .claude/skills/testerarmy-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testerarmy Cli 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 Testerarmy Cli 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 Testerarmy Cli 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.

TesterArmy CLI

Create dashboard-managed QA coverage with ta / testerarmy.

Default to saved dashboard tests, groups, project context, credentials, and remote runs. Use local ta run "..." only for quick exploration.

When to Use

  • Create persistent QA coverage for a feature or product area.
  • Convert acceptance criteria into dashboard tests.
  • Add or update smoke, regression, auth, billing, onboarding, or mobile flows.
  • Prepare CI-visible groups for PRs or releases.

Setup

Check auth:

bash
ta status --json

If needed:

bash
ta auth
TESTERARMY_API_KEY=<key> ta status --json

Discover scope:

bash
ta projects list --json
ta groups list --project <projectId> --json
ta tests list --project <projectId> --json

Use IDs exactly as returned.

Project Context

Create a project:

bash
echo '{"name":"Example","url":"https://example.com","projectType":"web"}' | ta projects create --json

Store app knowledge:

bash
echo '{"category":"site_structure","title":"Auth route","content":"Login is at /login","importance":"high"}' | ta memories create --project <projectId> --json

Memory categories: site_structure, test_insights, user_preferences.

Create credentials for login or inbox flows:

bash
echo '{"kind":"login","label":"Admin","username":"admin@example.com","password":"secret"}' | ta projects credentials-create <projectId> --json
echo '{"kind":"inbox","label":"Signup inbox"}' | ta projects credentials-create <projectId> --json

Never print real secrets in final messages.

Tests

Create:

bash
echo '{"title":"Login flow","description":"User can sign in and reach the dashboard","steps":[{"title":"Navigate to /login","type":"act"},{"title":"Sign in with the saved admin credentials","type":"login","credentialId":"<credentialId>"},{"title":"Dashboard loads and shows the project list","type":"assert"}]}' | ta tests create --project <projectId> --json

Create in a group:

bash
echo '{"title":"Pricing CTA","steps":[{"title":"Open /pricing","type":"act"},{"title":"Click the primary CTA","type":"act"},{"title":"Signup or dashboard flow starts","type":"assert"}]}' | ta tests create --project <projectId> --group <groupId> --json

Payload:

json
{
  "title": "string, required",
  "description": "string, optional",
  "platform": "web or mobile, optional",
  "steps": [
    { "title": "User action", "type": "act" },
    { "title": "Expected result", "type": "assert" },
    { "title": "Login instruction", "type": "login", "credentialId": "uuid" },
    { "title": "Use temporary email", "type": "login", "temporaryEmail": true },
    { "title": "Screenshot label", "type": "screenshot" }
  ]
}

Rules:

  • Cover one user journey.
  • Prefer 3-8 meaningful steps.
  • Use act for navigation, clicks, typing, upload, and other user actions.
  • Use assert for visible outcomes, persisted state, email delivery, or URL changes.
  • Use login with credentialId or temporaryEmail; do not put passwords in step titles.
  • Use screenshot only for important visual checkpoints.
  • Maximum 50 steps per test.

Inspect before changing:

bash
ta tests get <testId> --json

Update title, description, or steps:

bash
echo '{"title":"Updated login smoke"}' | ta tests update <testId> --json
echo '{"steps":[{"title":"Open /login","type":"act"},{"title":"Sign in","type":"login","credentialId":"<credentialId>"},{"title":"Dashboard is visible","type":"assert"}]}' | ta tests update <testId> --json

Replacing steps requires the complete array.

Groups

Create suites:

bash
echo '{"projectId":"<projectId>","name":"Smoke"}' | ta groups create --json
ta groups add-test <groupId> <testId> --json
ta groups remove-test <groupId> <testId> --json

Common groups: Smoke, Auth, Core journeys, Mobile smoke.

Runs

Modes:

  • Default/local: fetches a saved test, then runs it on this machine.
  • --remote: queues the saved test in TesterArmy cloud.

Local debugging:

bash
ta tests run <testId> --url http://localhost:3000 --json
ta tests run --group <groupId> --project <projectId> --url http://localhost:3000 --parallel 3 --json

Remote validation:

bash
ta tests run <testId> --remote --wait --json
ta tests run --group <groupId> --project <projectId> --remote --wait --json

Defaults:

  • No --remote: local browser execution.
  • --remote: cloud execution.
  • --wait: wait for remote results.
  • Local-only flags such as --headed, --browser, --timeout, and --system-prompt-file are ignored with --remote.
  • Remote group runs can use --environment production|preview.
  • Remote single-test runs can use --mode fast|deep.

CI:

bash
ta ci --group <groupId> --project <projectId> --target-url https://staging.example.com --json

Runs:

bash
ta runs list --project <projectId> --json
ta runs get <runId> --json
ta runs wait <runId> --timeout 600000 --json
ta runs cancel <runId> --json

Mobile App Coverage

Upload an iOS Simulator app before cloud runs:

bash
ta upload-app --app-path ios/build/Build/Products/Release-iphonesimulator/MyApp.app --project <projectId> --json
ta ci --group <groupId> --project <projectId> --app-id <appId> --delete-app-after-run --json

Supported uploads: .app, .app.zip, .zip, .app.tar.gz, .tar.gz, .tgz. .ipa and Android artifacts are not supported yet.

Local Prompt

ta run <prompt> runs an ad hoc local browser test:

bash
ta run "check pricing CTA" --url https://example.com --json

Use only to explore before creating or updating dashboard tests. Use ta tests create and ta tests run --group for durable workflows.

Reporting

Report:

  • Project ID/name
  • Test IDs and titles created or updated
  • Group IDs/names touched
  • Remote validation command and result, if run
  • Run ID or artifact/output path, if available

Do not claim durable coverage unless ta tests create or ta tests update ran.

References

FileDescription
reporting-template.mdDashboard coverage report template

Bundled files

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

Frequently asked questions

What does the Testerarmy Cli AI skill do?

Use TesterArmy CLI to create, organize, and run dashboard-managed QA tests. Prefer saved tests, groups, project context, credentials, and remote runs over one-off local prompts. Trigger when defining regression coverage, adding QA flows, or wiring CI checks.

Why use Testerarmy Cli on TypingMind?

Because you install it once and use it with any model. Testerarmy Cli 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 Testerarmy Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/novuhq/novu/tree/next/.agents/skills/testerarmy-cli. 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 Testerarmy Cli?

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 Testerarmy Cli?

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

Is the Testerarmy Cli AI skill free?

Yes. It is published on GitHub by novuhq 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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