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Agent Skill · 研究检索

dyad%3adeflake-e2e-recent-commits(dyad%3adeflake e2e 最近提交)

dyad%3adeflake-e2e-recent-commits 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

dyad%3adeflake-e2e-recent-commits 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 51,212。

总安装 588周安装 25GitHub Stars 20,221下载 206核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dyad%3adeflake-e2e-recent-commits(dyad%3adeflake e2e 最近提交)
来源仓库:https://github.com/dyad-sh/dyad
仓库路径:skills/dyad%3Adeflake-e2e-recent-commits
安装命令:
npx skills add https://github.com/dyad-sh/dyad --skill dyad:deflake-e2e-recent-commits
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dyad-sh/dyad --skill dyad:deflake-e2e-recent-commits

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

dyad:deflake-e2e-recent-commits 自动从最近提交中提取 flaky 测试并执行修复。适用于 main 分支和 PR 中 dyad-assistant 触发的测试问题追踪与解决。通过 gh api 获取 CI 运行记录,筛选失败测试后调用 deflake-e2e 处理。

使用前需确认 GitHub 权限和分支保护策略,注意可能修改代码和推送变更。dyad%3adeflake-e2e-recent-commits 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/dyad%3Adeflake-e2e-recent-commits

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dyad-sh/dyad --skill dyad:deflake-e2e-recent-c…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

dyad%3adeflake-e2e-recent-commits 怎么安装?

在终端执行 npx skills add https://github.com/dyad-sh/dyad --skill dyad:deflake-e2e-recent-commits。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

dyad%3adeflake-e2e-recent-commits 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

dyad%3adeflake-e2e-recent-commits 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

dyad%3adeflake-e2e-recent-commits 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

dyad%3adeflake-e2e-recent-commits 用的人多吗?

公开数据是累计安装 588 次,近一周安装 25 次,下载 206 次,GitHub 20,221 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

dyad%3adeflake-e2e-recent-commits 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 20,221 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
dyad%3adeflake-e2e-recent-commits

dyad%3adeflake e2e 最近提交 · 本页

58820,221操作浏览器未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Deflake E2E Tests from Recent Commits

Automatically gather flaky E2E tests from recent CI runs on the main branch and from recent PRs by wwwillchen/keppo-bot/dyad-assistant, then deflake them.

Arguments

  • $ARGUMENTS: (Optional) Number of recent commits to scan (default: 10)

Task Tracking

You MUST use the TodoWrite tool to track your progress. At the start, create todos for each major step below. Mark each todo as in_progress when you start it and completed when you finish.

Instructions

  1. Gather flaky tests from recent CI runs on main: List recent CI workflow runs triggered by pushes to main: gh api "repos/{owner}/{repo}/actions/workflows/ci.yml/runs?branch=main&event=push&per_page=<COMMIT_COUNT * 3>&status=completed" --jq '.workflow_runs[] | select(.conclusion == "success" or.conclusion == "failure") | {id, head_sha, conclusion}' Note: We fetch 3x the desired commit count because many runs may be cancelled (due to concurrency groups). Filter to only success and failure conclusions to get runs that actually completed and have artifacts. Use $ARGUMENTS as the commit count, defaulting to 10 if not provided. For each completed run, download the html-report artifact which contains results.json with the full Playwright test results: a. Find the html-report artifact for the run: gh api "repos/{owner}/{repo}/actions/runs/<run_id>/artifacts?per_page=30" --jq '.artifacts[] | select(.name | startswith("html-report")) | select(.expired == false) |.name' b. Download it using gh run download: gh run download <run_id> --name <artifact_name> --dir /tmp/playwright-report-<run_id> c. Parse /tmp/playwright-report-<run_id>/results.json to extract flaky tests. Write a Node.js script inside the .claude/ directory to do this parsing. Flaky tests are those where the final result status is "passed" but a prior result has status "failed", "timedOut", or "interrupted". The test title is built by joining parent suite titles (including the spec file path) and the test title, separated by >. d. Clean up the downloaded artifact directory after parsing. Note: Some runs may not have an html-report artifact (e.g., if they were cancelled early, the merge-reports job didn't complete, or artifacts have expired past the 3-day retention period). Skip these runs and continue to the next one.
  2. Gather flaky tests from recent PRs by wwwillchen, keppo-bot, and dyad-assistant:

In addition to main branch CI runs, scan recent open PRs authored by wwwillchen, keppo-bot, or dyad-assistant for flaky tests reported in Playwright report comments.

a. List recent open PRs by these authors:

gh pr list --author wwwillchen --state open --limit 10 --json number,title
gh pr list --author keppo-bot --state open --limit 10 --json number,title
gh pr list --author dyad-assistant --state open --limit 10 --json number,title

b. For each PR, find the most recent Playwright Test Results comment (posted by a bot, containing "🎭 Playwright Test Results"):

gh api "repos/{owner}/{repo}/issues/<pr_number>/comments" --jq '[.[] | select(.user.type == "Bot" and (.body | contains("Playwright Test Results")))] | last'

c. Parse the comment body to extract flaky tests. The comment format includes a "⚠️ Flaky Tests" section with test names in backticks:

  • Look for lines matching the pattern: ` - <test_title> (passed after N retries) `
  • Extract the test title from within the backticks
  • The test title format is: <spec_file.spec.ts> > <Suite Name> > <Test Name>

d. Add these flaky tests to the overall collection, noting they came from PR #N for the summary

  1. Deduplicate and rank by frequency: Count how many times each test appears as flaky across all CI runs. Sort by frequency (most flaky first). Group tests by their spec file. Print a summary table: Flaky test summary: - setup_flow.spec.ts > Setup Flow > setup banner shows correct state... (7 occurrences) - select_component.spec.ts > select component next.js (5 occurrences)...
  2. Skip if no flaky tests found: If no flaky tests are found, report "No flaky tests found in recent commits or PRs" and stop.
  3. Install dependencies and build: npm install npm run build IMPORTANT: This build step is required before running E2E tests. If you make any changes to application code (anything outside of e2e-tests/), you MUST re-run npm run build.
  4. Deflake each flaky test spec file (sequentially): For each unique spec file that has flaky tests (ordered by total flaky occurrences, most flaky first): a. Run the spec file 10 times to confirm flakiness (note: <spec_file> already includes the .spec.ts extension from parsing): PLAYWRIGHT_RETRIES=0 PLAYWRIGHT_HTML_OPEN=never npm run e2e -- e2e-tests/<spec_file> --repeat-each=10 IMPORTANT: PLAYWRIGHT_RETRIES=0 is required to disable automatic retries. Without it, CI environments (where CI=true) default to 2 retries, causing flaky tests to pass on retry and be incorrectly skipped. b. If the test passes all 10 runs, skip it (it may have been fixed already). c. If the test fails at least once, investigate with debug logs: DEBUG=pw:browser PLAYWRIGHT_RETRIES=0 PLAYWRIGHT_HTML_OPEN=never npm run e2e -- e2e-tests/<spec_file> d. Fix the flaky test following Playwright best practices: IMPORTANT: Do NOT change any application code. Only modify test files and snapshot baselines. e. Update snapshot baselines if needed: PLAYWRIGHT_RETRIES=0 PLAYWRIGHT_HTML_OPEN=never npm run e2e -- e2e-tests/<spec_file> --update-snapshots f. Verify the fix by running 10 times again: PLAYWRIGHT_RETRIES=0 PLAYWRIGHT_HTML_OPEN=never npm run e2e -- e2e-tests/<spec_file> --repeat-each=10 g. If the test still fails after your fix attempt, revert any changes to that spec file and move on to the next one. Do not spend more than 2 attempts fixing a single spec file.

- Use await expect(locator).toBeVisible() before interacting with elements - Use await page.waitForLoadState('networkidle') for network-dependent tests - Use stable selectors (data-testid, role, text) instead of fragile CSS selectors - Add explicit waits for animations: await page.waitForTimeout(300) (use sparingly) - Use await expect(locator).toHaveScreenshot() options like maxDiffPixelRatio for visual tests - Ensure proper test isolation (clean state before/after tests)

  1. Summarize results: Report:

- Total flaky tests found across main branch commits and PRs

  • Sources of flaky tests (main branch CI runs vs. PR comments from wwwillchen/keppo-bot/dyad-assistant)

- Which tests were successfully deflaked - What fixes were applied to each - Which tests could not be fixed (and why) - Verification results

  1. Create PR with fixes: If any fixes were made, run /dyad:pr-push to commit, lint, test, and push the changes as a PR. Use a branch name like deflake-e2e-<date> (e.g., deflake-e2e-2025-01-15). The PR title should be: fix: deflake E2E tests (<list of spec files>)

平台分布

Codex

35.72%
按下载量换算74

Claude

30.62%
按下载量换算63

Cursor

18.5%
按下载量换算38

Gemini CLI

9.94%
按下载量换算20

安全审计

暂无安全审计结果可展示。

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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