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comfy-qa

v1.5.3

Published

ComfyUI QA automation CLI

Readme

comfy-qa

E2E QA automation for user-facing frontend repos. AI-driven Playwright tests with video recording, HUD overlay, and structured reports.

One-shot setup

Tell your AI agent (Claude Code, Cursor, etc.):

run npx cmqa setup

The agent reads the emitted prompt and automatically:

  • Detects your framework, package manager, backend, and auth
  • Installs Playwright
  • Creates playwright.qa.config.ts with video/trace/screenshot enabled
  • Creates .claude/skills/comfy-qa/SKILL.md tailored to your repo
  • Creates .claude/skills/comfy-qa/REPRODUCE.md for issue reproduction
  • Creates starter tests/e2e/qa.spec.ts covering your key routes
  • Updates .gitignore

Re-running npx cmqa setup updates existing files without overwriting what's already correct.

QA a PR or issue

# Paste a GitHub URL — auto-detects PR vs issue
cmqa https://github.com/org/repo/pull/123
cmqa https://github.com/org/repo/issues/456

# Or use subcommands
cmqa pr https://github.com/org/repo/pull/123
cmqa issue org/repo#456

# Batch QA recent open issues
cmqa full org/repo --limit 5

Each run produces in .comfy-qa/<slug>/:

| File | Content | |------|---------| | report.md | Full QA report — bug analysis, checklist, test scenarios | | qa-sheet.md | Printable QA checklist for manual testing | | <type>-<N>.e2e.ts | Generated Playwright E2E test | | qa-<N>.webm | Recorded session video with HUD overlay | | screenshots/ | Step-by-step screenshots | | research.json | Raw research data | | agent-log.txt | Agent action log |

Options

--no-record         Disable video recording (ON by default)
--add-comment       Post report as GitHub comment
--comfy-url <url>   Point to a running dev server (default: auto-detect)
--limit N           Number of issues for batch mode (default: 5)

How it works

  1. Research — Fetches PR/issue from GitHub, Claude analyzes bug/feature and generates QA checklist + test scenarios
  2. Record — Playwright opens the app with a HUD overlay showing what the agent is doing. If the dev server is running, an AI agent drives the browser through each test scenario
  3. Report — Generates structured markdown report, QA sheet, E2E test file, and video

Backend strategy

No mocks. QA runs against real servers:

  • If the QA target is unrelated to the backend — use the repo's default staging server
  • If the QA target is related to the backend — clone the backend to tmp/, build, run locally, point the frontend to localhost

Install

bun install

License

MIT