Meticulous Test

alwaysmeticulous/skills/skills/meticulous-test

作者 alwaysmeticulousdeb5e45e6e56无许可证10 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Run a Meticulous test run after implementing a frontend change, then hand off to the `meticulous-review` skill to classify each visual change as intended or unintended. Uploads the build once — the same build can be re-triggered against different bases without rebuilding — and it works with uncommitted changes. Use when implementing a feature autonomously end-to-end before creating a PR.

AI 生成的概览

对前端改动运行 Meticulous 视觉测试,并交由审查环节判定视觉差异。

功能
该技能引导智能体用 Meticulous 测试前端改动:按 CI 配置构建前端、将构建产物上传为可复用部署,并针对某个基线提交触发测试运行。随后把得到的 testRunId 交给 meticulous-review 技能,由其将每处视觉变化归类为预期内或非预期。它还说明了未提交改动、临时提交,以及同一构建针对不同基线重复触发的情况。
适用场景
适用于自主端到端实现前端功能、并希望在创建拉取请求前验证视觉变化的场景。也适合需要在无需重新构建的情况下,让同一构建针对一个或多个基线提交进行测试的工作流。
运行要求
需要 Meticulous CLI 或 MCP 命令、前端构建产物(资源文件或 Docker 镜像),以及访问仓库中 CI 配置和 git 历史的权限。触发运行必须提供基线提交。该技能不包含脚本,仅为说明性指令。

To test a frontend change using Meticulous, follow the workflow below step by step, using the CLI or MCP commands as described.

Before starting, run the meticulous-cli-update skill to ensure the Meticulous CLI and skills are up to date — unless it has already run earlier in this conversation, in which case skip it.

If you are already given a test run id, skip to Step 4.

Step 1 -- Build the frontend

  1. Find out what build artefact Meticulous expects by checking your CI config for the corresponding step:
    • GitHub: .github/workflows/*.yml for uses: alwaysmeticulous/report-diffs-action/upload-assets@v1 (build assets) or upload-container@v1 (docker image)
    • GitLab: .gitlab-ci.yml (or an included .gitlab/ci/*.yml) for npx @alwaysmeticulous/cli ci upload-assets (build assets) or ci upload-container (docker image)
    • Bitbucket: bitbucket-pipelines.yml for the same npx @alwaysmeticulous/cli ci upload-assets / ci upload-container step
  2. Build the frontend following the same instructions as used in that CI config.

Step 2 -- Upload the build

Register the build as a reusable deployment with agent upload-build. This uploads the artefact and prints a deploymentId to stdout — it does not trigger a run yet.

bash
# CLImeticulous agent upload-build --appDirectory <path-to-build>     # assetsmeticulous agent upload-build --localImageTag <image-tag>        # container
# MCP (not 1:1 — request an upload URL, upload the artifact yourself, then register it)request_asset_upload(size=<zipByteSize>)      # or request_container_upload() — no required args# ... upload the zip/image to the returned URL/registry yourself ...register_asset_build(uploadId="<id>", commitSha="<sha>")      # or register_container_build(uploadId="<id>", commitSha="<sha>")
  • --appDirectory points to the build output directory (e.g. a dist/ subfolder); --localImageTag is the local Docker image tag. The build mode is auto-detected.
  • The build's commit defaults to the local git HEAD. If the working tree is dirty, it is captured as an ephemeral commit (printed as commitSha (local, ephemeral due to dirty working tree): …) — see the uncommitted-changes note below.
  • Untracked files are rejected (they can't be captured) — git add them first.
  • Capture the deploymentId from stdout (pass --verbose to also see progress on stderr).

Step 3 -- Trigger a test run

Trigger a run for the deployment, comparing against a base. Run it from the repo directory to infer both the base (merge-base with the origin default branch) and the git diff automatically:

bash
# CLImeticulous agent trigger-test-run --deploymentId <deploymentId>
# MCP (never infers `baseSha`/`gitDiffOutput` — pass them explicitly — and always returns immediately without waiting for the run to finish)trigger_test_run(deploymentId="<deploymentId>", baseSha="<sha>")
  • A base is required. It's auto-inferred from the current directory, or pass --baseSha <sha> (and optionally --gitDiffOutput) to set it explicitly.
  • Omit --deploymentId to use the most recent deployment already uploaded for the local HEAD commit instead — this requires a clean working tree (no uncommitted changes).
  • The command blocks until the run finishes by default and prints the testRunId to stdout; the final status is Failure when visual differences were detected (a normal completed verdict, not an error). Pass --dontWaitForTestRunToComplete to return as soon as the run is triggered.
  • One build, many bases: the same deploymentId can be re-triggered against different bases — just run agent trigger-test-run again with a different --baseSha. No rebuild or re-upload needed.

Note the testRunId from the output.

Step 4 -- Review the visual changes

Follow the meticulous-review skill, passing the testRunId from Step 3. It fetches the diff summary, inspects representative screenshots / DOM diffs / timelines, and produces a final report classifying each visual change as intended or unintended.

Uncommitted changes: if you built/tested with a dirty working tree, the run is recorded against an ephemeral commit that is not your HEAD (and isn't pushed). Commands that resolve a run from the local checkout — meticulous-review / agent test-run-diffs run with no --testRunId — won't find it by commit, so always pass the explicit --testRunId to the review step in that case.

来源与署名

来源:alwaysmeticulous/skills位于skills/meticulous-test提交deb5e45

许可证: 无许可证

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