管理 OpenWork 功能开关,从编码前以关闭状态登记,到按组织和部署环境逐步发布、全局停用,并在发布完成后移除临时开关。还包括添加代码检查和规划停用时对进行中任务、已存数据及历史记录的处理。
- 编码前登记新功能
- 先向指定组织逐步发布
- 区分云端与自托管版本
通过实测找出拉取请求的 CI 慢在哪些任务和步骤,逐项尝试提速,并比较前后结果;只有收益超过测量噪声且检查仍能发现相同问题时才保留改动。
CI is slow, time to green, how long do checks take, p50/p90, make CI faster, speed up a job or spec, hillclimb CI. Use to measure PR CI time, find where a job's seconds go, and land speedups one measured change at a time without weakening any check.
实测评分 未实测
查看安装方法此技能通过实测分析 CI 耗时,而不是凭感觉判断。它统计从拉取请求推送到必需检查通过,以及到所有 GitHub Actions 检查结束所需的时间,并以中位数和较高分位数记录基准。随后查看各任务、步骤的耗时和测试记录,定位时间花在哪里。每次只尝试一个改进假设,再在相近条件下比较结果。
CI 运行缓慢但原因不清楚时,可以用它查找耗时较长的任务或测试。团队也可以根据测量数据排查服务启动、重复构建或反复准备环境等改进机会。整个过程以缩短 CI 时间为目标,同时保留能够发现缺陷及合并前必须执行的检查。
此技能使用 GitHub Actions 的运行信息及仓库中的 CI 计时脚本。比较时需要使用同类运行器上的基准运行。不得削弱或省略检查;修改后仍须能发现相同的问题。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
CI speed is a measured number, not a feeling. Measure it the same way every time, find where the seconds actually go, change one thing, measure again, keep it only if the number moved and every check still guards what it did.
node .github/scripts/ci-time-to-green.mjs --hours 24 # all PRs
node .github/scripts/ci-time-to-green.mjs --hours 6 --branch-prefix perf/ci-x --json
required: push → last merge-gating check green (openwork-tests-required, warden-clear).full: push → last GitHub Actions check green. "Evidence preview" is ignored (a link, not a test).Record the baseline (p50/p90/p99 and n) before changing anything. Compare
p50/p90 with at least ~20 commits; one PR's run is a data point, not a trend.
Never guess from YAML. Read the timings GitHub and the test kit already record.
# Every job and step of a run, with durations
gh run view <run-id> --json jobs --jq '.jobs[] | "\(.name)", (.steps[] | " \(.name)")'
gh api repos/different-ai/openwork/actions/jobs/<job-id> \
--jq '.steps[] | "\(((.completed_at|fromdate)-(.started_at|fromdate)))s \(.name)"'
# Full log (strip colours)
gh api --allow-escape-sequences repos/different-ai/openwork/actions/jobs/<job-id>/logs | sed 's/\x1b\[[0-9;]*m//g'
For e2e specs, download the run's pr-proof-* artifacts and read
test-runs/*/test-run.json: every trace entry has a stage, channel,
verb and ms. Sum ms by (stage, channel, verb):
world/seed/den|desktop|appWeb is time spent starting services; body/* is
the test. Compare createdAt/closedAt with the first and last trace entry
to see setup and teardown the trace does not cover.
Things that look slow but are not the cause until measured: runner pickup (usually ~3s), the test's own assertions. Things that usually are: starting services per test, rebuilding the same commit in several jobs, waiting on something no assertion uses, repeated setup in every matrix job.
Work down this list (the classic performance mantras) and stop at the first rung that reaches the target:
dev.Rung 7 alone rarely gets far: folding the Den API test schema DDL and an in-memory MySQL saved 18s on a 134s step. Rungs 1-3 remove minutes.
next dev
and recompiles per test"), never "try caching".dev, or the same job on
dev). Laptop wall times are not evidence: other work on the machine
moved the same suite between 94s and 147s.decision.tsv outside the repo:
id, hypothesis, change, before, after, delta, tests, verdict, note.git fetch --depth=1 in any
worktree writes .git/shallow for every worktree and the main checkout;
rebases then replay the whole history. CI scripts that fetch with depth 1
are for CI only. If it happens: confirm the parents of the shallow commit
exist (git cat-file -e), move .git/shallow aside, run
git fsck --connectivity-only.origin/dev; do not touch someone else's
checkout, branch or running containers. Start your own MySQL on a free
port with a unique name, and remove it afterwards.TZ=UTC, or the
hourly sign-in tests fail for reasons unrelated to your change.gh pr list), and
re-measure after rebasing onto a dev that changed the job you measured.dev invalidates every comparison: fix or wait for it first
(diagnose-a-red-run).Name the job and step, the control run and your run, and the seconds:
"Run Den API security tests: 134s → 116s (run A vs run B, same runner)."
State Release note: none. Follow open-a-pr.
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管理 OpenWork 功能开关,从编码前以关闭状态登记,到按组织和部署环境逐步发布、全局停用,并在发布完成后移除临时开关。还包括添加代码检查和规划停用时对进行中任务、已存数据及历史记录的处理。
连接 OpenCode 浏览器工具与本地运行的 OpenWork Electron 应用,可查看界面、输入并发送任务、检查回复。通过 CDP 辅助探索和调试。
检查变更新增行中可识别客户、潜在客户、合作方或外部个人的信息。报告位置和最小修正建议,不复述身份内容;若信息已公开则升级处理。
引导 Claude Code、Codex 等 AI 客户端连接 OpenWork MCP Gateway,以使用组织技能、插件和外部连接;完成浏览器认证后检查能力搜索与执行工具是否可用。
在运行外部协作者的拉取请求代码前,检查混淆代码、隐藏通信、可疑依赖和构建脚本,并给出文件位置及维护者的核查事项。
为 OpenWork 创建 OpenCode 插件,生成自定义工具、事件钩子和配置文件条目。可添加工具逻辑,或在工具执行前后运行处理代码。