Discover, wait for, sign in, create specific user data, and assert a PR preview deploy. Use on medium or high risk PRs, after pushing a ready-for-review PR, or when the user asks to test the preview URL.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Read
docs/contributing/preview-manual-testing.md.
Do not improvise gh comment scraping, local E2E against the preview URL, or
raw D1 seeding of preview resources.
Prefer control-kody when you also need doctor,
local login, Feature Map lookup, or a /health SHA check:
npm run control-kody -- preview -- --request 'GET /onboarding.json' --check /onboarding/step-2
npm run preview:manual-test
On medium or high risk, do not stop at the default health/login smoke. The
seed user (me@kentcdodds.com / ilikecode, username user-me) has no
secrets, packages, or jobs until you create them. Script that data and the
assertions as the same logged-in user:
npm run preview:manual-test -- \
--request 'POST /onboarding/checklist-dismiss.json {}' \
--request 'GET /onboarding.json' \
--check /onboarding/step-2
--request spec: METHOD /path [status] [json-body] (default success: 2xx).
Use the JSON APIs the UI uses (/account/*.json in
packages/worker/universal/routes.ts). --json includes
session.cookieHeader; --cookie-file writes it for follow-up curl.
--pr, --url, --no-wait, --skip-login, --help as documented.
After the PR is ready for review (drafts and forks have no preview) and you
have pushed the commits you want to exercise. Typical triggers: visual-recap
risk is medium (extends) or high (adds); auth, workers, or
deploy-path behavior changed; the user asked to try the preview.
This does not replace npm run validate.
computerUse subagent./login with the seed credentials. Button label is Sign in.GET /mcp is 401 without OAuth; /admin is 403 (seed account is not admin).
Neither is a regression.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when a user says "add a ty diagnostic", "write this new ty diagnostic", "change a ty error message", "review ty diagnostics", or asks to add, update, or review ty checks, diagnostic messages, subdiagnostics, or concise output behavior.
日本語の概要は準備中です。原文の説明を表示しています。
Use when adding A2UI rendering to any AG-UI-supported framework or custom AG-UI application, scaffolding an AG-UI app that should render A2UI, adapting an AG-UI integration to emit A2UI surfaces, or wiring the AG-UI A2UI middleware/toolkit with a compatible renderer.
日本語の概要は準備中です。原文の説明を表示しています。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate an open source project's AGENTS.md and produce a corpus entry for the /agents-md directory. Use when adding a project to the directory, refreshing an existing entry, or running a batch of candidate repositories.
日本語の概要は準備中です。原文の説明を表示しています。
Execute Anarlog work immediately while recording issues, decisions, progress, and lessons in Linear. Use for Anarlog repository or Anarlog desktop, web, mobile, and API work, including related worktrees and ANLG issues. Explicit brainstorming stays discussion-first. Do not use for unrelated repositories or meeting-data queries.
日本語の概要は準備中です。原文の説明を表示しています。
Use only for reviewing completed Biome PRs, branches, commit ranges, diffs, or working trees against business logic and requirements. Excludes broad code-quality and process audits, triage, reproduction, and implementation.
日本語の概要は準備中です。原文の説明を表示しています。