Webtest Orch — Testing skill for Claude Code
Token-efficient e2e orchestration skill for Claude Code: explore once, replay deterministically.
How to install Webtest Orch
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open CreatmanCEO/webtest-orch and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Webtest Orch does
Token-efficient e2e orchestration skill for Claude Code: explore once, replay deterministically. Playwright + axe-core + run-diff. Tests stay in your repo. MIT.
Alternatives in Testing
- Testing Strategy — This project is small, runs in a terminal, and is mostly deterministic 10.9k ★
- PR Visual Diff — Post before/after stills + GIFs on a visual PR, captured headlessly with Playwright + ffmpeg 324 ★
- Design QA — Visual QA on an HTML/CSS implementation — checks responsive behavior at mobile/tablet/desktop, design token co 309 ★
README
webtest-orch
[](https://github.com/CreatmanCEO/webtest-orch/actions/workflows/ci.yml) [](LICENSE) [](https://www.npmjs.com/package/webtest-orch) [](https://www.python.org/downloads/) [](https://nodejs.org) [](https://code.claude.com)
🇬🇧 English · [🇷🇺 Русский](README.ru.md)
**Token-efficient e2e orchestration skill for Claude Code. Explore once with Playwright MCP — ARIA snapshots, not images. Replay deterministically with `npx playwright test` — ~zero LLM tokens. Bug fingerprinting + run-diff (new / regression / persisting / fixed) out of the box. Tests live in your repo as plain `*.spec.ts`. MIT.**
**Why this exists, in one number:** Playwright MCP burns ~**1.5M tokens** verifying an e-commerce checkout. Playwright **CLI** does the same in ~**25–27k** ([Özal benchmark](https://github.com/microsoft/playwright-mcp/issues/889), [TestDino](https://testdino.com/blog/playwright-cli/), [Morph](https://scrolltest.medium.com/playwright-mcp-burns-114k-tokens-per-test-the-new-cli-uses-27k-heres-when-to-use-each-65dabeaac7a0)). The fix isn't "use less Playwright MCP" — it's split **exploration** (LLM-driven, generates spec.ts) from **replay** (deterministic, runs forever). webtest-orch is the orchestration layer that does both.
Where this fits
The 2026 AI-testing market splits into two bands:
| Band | Examples | Pricing | What you pay for |
|---|---|---|---|
| Paid SaaS | Octomind ($89–$589/mo, [now winding down](https://octomind.dev/blog/a-letter-to-our-users-custom |
Related Skills
Public Browser
Token-efficient Chrome browser automation MCP server for AI agents. Direct CDP, a11y-tree refs, multi-tab, ser
Py Cq
CLI that aggregates ruff, ty, bandit, pytest, radon + 6 more into a single token-efficient LLM prompt. CI gate
Glm Delegate
Delegate token-heavy execution to swarms of GLM agents in disposable git worktrees — an Anthropic model writes
Axe MCP Server Public
Axe MCP Server: Deque's official MCP server for axe. Integrate accessibility testing and AI-powered remediatio
Agentic Doc Templates
Stop coding agents from losing intent or building the wrong product shape. Modular Understanding/spec/TODO doc
Pharn Grill
Interrogate an approved features/ /PLAN.md AND deterministically re-verify TWO things — the spec→plan hash cha
Related Agents
Ashlr Code
Main AshlrCode agent — token-efficient coding, editing, search. Delegates aggressively to ashlr:explore and as
UX Evaluator
Use this agent for read-only UX evaluation of test-runner driver artifacts (Playwright AX-tree snapshots, scre
Deploy Verifier
Post-deploy smoke test agent. Verifies live URL, checks console errors, screenshots 6 breakpoints, runs axe-co