QLOOD-CLI — Next‑Generation AI Testing Superpower

Supercharge your website and app testing with next‑generation AI automation. QLOOD‑CLI is a preconfigured wrapper around the AugmentCode (Auggie) CLI that thinks like a user, tests like a pro, and catches what humans miss.

Links:

• Qlood: https://qlood.com
• AugmentCode: https://augmentcode.com
• Auggie automation docs: https://docs.augmentcode.com/cli/automation

How it works (behind the scenes)

1. QLOOD‑CLI is pre‑prompted to run specific tests for your app
2. Orchestrates multiple Auggie CLI runs
3. Executes tasks with auggie --print "Our prompt"
4. Launches Playwright (non‑interactive) to test your app and capture screenshots
5. Auggie drafts results: Errors, Warnings, Success
6. Auggie analyzes your project and generates a fix prompt automatically

In short: a streamlined auggie --print "Our prompt" wrapper with pre‑made prompts that achieve your goal.

Learn more: https://www.augmentcode.com/

Disclaimer: Using QLOOD‑CLI may require an AI provider API key and an AugmentCode.com account. Running the tool may use your real credits on connected services.

Quick Start

• Install (global):

  npm install -g qlood-cli

• Launch the CLI:

  qlood

• Show all commands (inside the TUI):

  /help

• Create a workflow (auto‑analyzed and saved to ./.qlood/workflows):

  /wfadd I need a workflow that test the user signup and login

• List workflows:

  /wfls

• Run workflow #1:

  /wf 1

• Run all workflows (great for PR checks):

  /wfall

• Update workflow #1 based on code changes:

  /wdupdate 1

• Delete workflow #1:

  /wfdel 1

Results are saved under ./.qlood/results/wf#-%datetime%/ with subfolders:

• /success — what passed
• /warning — potential issues (with screenshots) + fix-prompt.md
• /error — errors (with screenshots) + fix-prompt.md

What QLOOD tests (automatically):

• End‑to‑end, user‑like flows
• UI/UX checks and obvious anti‑patterns
• Console log auditing
• Network performance signals and failures
• Security/vulnerability scans (basic heuristics)
• Auth flow validation
• Dead link detection and navigation problems
• API key exposure hints and URL rewrite safety

Requirements

• Node.js 18+
• Auggie CLI installed and authenticated: auggie --login

Notes

• QLOOD initializes a project‑local ./.qlood/ folder and uses Auggie (via MCP Playwright) to drive a headless browser.
• You’ll be prompted to initialize on first run. Accepting allows Auggie to index your project for context‑aware testing.

Security

• Credentials should be provided via environment variables or a gitignored .env file.

Open Source

• Repo: https://github.com/JaySym-ai/qlood-cli

License

MIT