Argos Pr Review

argos-ci/argos-javascript/skills/argos-pr-review

作者 argos-cibfd41376f5682a542ddb108835eb0e0b5a9ac348无许可证19 个星标收录于 2026年10月9日更新于 2026年10月9日仓库昨天更新

Review Argos visual regression builds as one input to a pull request review. Use when a PR has an Argos build link, an Argos status check, or a bot comment pointing to an Argos build, and you need to decide whether the visual diffs match the developer's intent before approving.

AI 生成的概览

将 Argos 视觉回归构建作为拉取请求审查的一项输入进行审查,判断每个差异。

功能
指导智能体审查拉取请求中链接的 Argos 视觉测试构建。它会检查构建状态、获取待审查的快照,并依据测试指标和截图信号将每个差异判定为有意变更、回归或偶发不稳定。随后针对具体差异发布锚定评论,并通过 Argos CLI 提交批准、拒绝或评论形式的审查。
适用场景
适用于拉取请求带有 Argos 构建链接、Argos 状态检查或指向 Argos 构建的机器人评论时。适合在批准前需要判断视觉差异是否符合开发者意图的场景。
运行要求
需要 Argos CLI 以及访问 Argos 的网络连接。读取构建和快照需要项目令牌(ARGOS_TOKEN 或 --token);提交审查、评论或忽略变更需要个人访问令牌。不附带脚本,仅包含说明和参考文档。

Argos PR Review

Argos is a visual testing platform: each CI build captures screenshots and compares them to a baseline, producing per-snapshot diffs. A build with changes-detected is waiting for a human (or you) to decide whether each change is intentional, a regression, or a flaky capture.

Treat the Argos build as one input to the PR review, never the sole source of truth. Infer the intended UI change from the PR title, description, linked issue, and code diff first, then use Argos to confirm the rendered result matches.

Tooling & auth

Drive Argos through the argos CLI — load the argos-cli skill for the token model and flags. In short: build get / build snapshots need a project token (ARGOS_TOKEN/--token); submitting a review or comment needs a personal access token (--token / argos login). Always use --json when parsing, and never print token values. If no PAT is available, give the user your conclusion and evidence instead of posting — the CLI can't submit the review.

Workflow

  1. Inspect the build — argos build get <ref> --json. Decide from status:

    StatusMeaning / next step
    accepted / no-changesAlready approved / no visual diff — no review needed
    pending / progressNot ready — stop and report it can't be reviewed yet
    changes-detectedNeeds a decision — fetch snapshots
    rejected / error / aborted/ expiredDon't approve until the cause is understood
  2. Fetch what changed — argos build snapshots <ref> --needs-review --json. For each diff inspect url (diff mask), base.url (before), head.url (after), and head.metadata, plus the flakiness signals test.metrics and, on a change, change.occurrences / change.ignored (used in step 3).

  3. Judge each diff against the inferred intent:

    • Intentional — matches the code change and renders cleanly.

    • Regression — broken layout/overlap, clipping, wrong state/theme/route, missing content, or a removed snapshot with no matching test removal.

    • Flaky — weigh two independent signals; when they agree, call it flaky with confidence:

      • Test history — test.metrics.flakiness (0 stable → 1 flaky) and change.occurrences (how many times this exact diff has recurred over the metrics period). A high flakiness score or a recurring change is strong evidence the diff is environmental noise, not this PR's work; stability (builds without a change), consistency (do changes repeat identically), and uniqueChanges explain why it scores that way. change.ignored: true is already known-flaky and auto-approved — never read it as a regression.
      • This capture — a spinner/skeleton, async content not yet loaded, mid-animation, drifting dynamic values, head.metadata.test.retry > 0, or identical score/head.url across browsers (both captured the same transient state). retries (the configured budget) is not itself a signal.

      Conversely, a stable test (flakiness→0, high stability, a first-time change) that changed is more likely intentional or a real regression — don't dismiss it as flaky on the visuals alone. Tune the window with build snapshots --metrics-period <24h|3d|7d|30d|90d> (default 7d).

  4. Comment on specific diffs — the highest-value output of an agent review. A binary approve/reject is cheap; specific, anchored feedback is what makes an agent review worth reading. For each problem diff, post a comment that names what's wrong and how to fix it, anchored to that snapshot:

    bash
    argos comment create <ref> --token <pat> --diff <screenshotDiffId> \  --body "Loader still visible — capture runs before data loads. Wait for settled content (or mark the loader aria-busy)."
    • <screenshotDiffId> is the diff id from build snapshots --json.
    • Pin to a region with --anchor-lines <from,to> or --anchor-point <x,y> (normalized 0–1); reply in a thread with --reply-to <commentId>.
    • Use --draft to bundle comments into your pending review, then submit them together in the next step.
  5. Submit the review (or report if no PAT is available):

    • Approve: argos review create <ref> --token <pat> --event approve
    • Request changes: argos review create <ref> --token <pat> --event reject --body "<summary>"
    • Neutral note only: --event comment --body "<summary>"
    • Add --project owner/project for build-number refs (not URLs).
    • Silence a confirmed recurring flake so it stops blocking future builds: argos change ignore <change.id> --token <pat> --project owner/project (reverse with change unignore). Only ignore flakes the metrics confirm — never to bypass a real diff; prefer a code fix (references/flaky-fixes.md [blocked]) when one exists.
    • Lead with the inferred intent, the snapshots reviewed, and the evidence. In the PR, cite the build URL and affected snapshot names; for flakes, name the signal and recommend a fix.

References

  • references/baseline.md [blocked] — baseline selection and orphan-build semantics (load when the review depends on which baseline was used).
  • references/flaky-fixes.md [blocked] — concrete code fixes for flaky captures (aria-busy, data-visual-test, animation stabilization).

来源与署名

来源:argos-ci/argos-javascript位于skills/argos-pr-review提交bfd4137

许可证: 无许可证

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