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Agent Skill · 研究检索

running-in-ci(运行在 ci)

running-in-ci 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。

running-in-ci 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 49,573。

总安装 648周安装 27GitHub Stars 4,814下载 216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:running-in-ci(运行在 ci)
来源仓库:https://github.com/max-sixty/worktrunk
仓库路径:skills/running-in-ci
安装命令:
npx skills add https://github.com/max-sixty/worktrunk --skill running-in-ci
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/max-sixty/worktrunk --skill running-in-ci

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。

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和安装命令进一步核验用法。建议确认权限范围及是否会触发联网或文件读写。

running-in-ci 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/running-in-ci

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/max-sixty/worktrunk --skill running-in-ci;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

    它需要接触敏感数据,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

running-in-ci 怎么安装?

在终端执行 npx skills add https://github.com/max-sixty/worktrunk --skill running-in-ci。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

running-in-ci 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。

running-in-ci 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

running-in-ci 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。

running-in-ci 用的人多吗?

公开数据是累计安装 648 次,近一周安装 27 次,下载 216 次,GitHub 4,814 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。

running-in-ci 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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 4,814 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
running-in-ci

运行在 ci · 本页

6484,814接触敏感数据未明确有提醒

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

Running in CI

First Steps — Read Context

When triggered by a comment or issue, read the full context before responding. The prompt provides a URL — extract the PR/issue number from it.

For PRs:

gh pr view <number> --json title,body,comments,reviews,state,statusCheckRollup
gh pr diff <number>
gh pr checks <number>

For issues:

gh issue view <number> --json title,body,comments,state

Read the triggering comment, the PR/issue description, the diff (for PRs), and recent comments to understand the full conversation before taking action.

Security

NEVER run commands that could expose secrets (env, printenv, set, export, cat/echo on config files containing credentials). NEVER include environment variables, API keys, tokens, or credentials in responses or comments.

PR Creation

When asked to create a PR, use gh pr create directly.

Before creating a branch or PR, check for existing work:

gh pr list --state open --json number,title,headRefName --jq '.[] | "#\(.number) [\(.headRefName)]: \(.title)"'
git branch -r --list 'origin/fix/*'

If an existing PR addresses the same problem, work on that PR instead.

Pushing to PR Branches

Always use git push without specifying a remote — gh pr checkout configures tracking to the correct remote, including for fork PRs. Specifying origin explicitly can push to the wrong place.

If pushing fails (fork PR with edits disabled), fall back to posting code snippets in a comment. Don't reference commit SHAs from temporary branches — post code inline.

CI Monitoring

After pushing, wait for CI before reporting completion.

Use run_in_background: true for the polling loop so it does not block the session. When the background task completes you will be notified — check the result and take any follow-up action (dismiss approval, post analysis) at that point.

# Run with Bash tool's run_in_background: true
for i in $(seq 1 10); do
  sleep 60
  if ! gh pr checks <number> --required 2>&1 | grep -q 'pending\|queued\|in_progress'; then
    gh pr checks <number> --required
    exit 0
  fi
done
echo "CI still running after 10 minutes"
exit 1
  1. Poll gh pr checks <number> --required every 60 seconds until all required checks complete (up to ~10 minutes). Ignore non-required checks (benchmarks).
  2. If a required check fails, diagnose with gh run view <run-id> --log-failed, fix, commit, push, repeat.
  3. After required checks pass, poll codecov/patch separately — it is mandatory despite being marked non-required. Use a polling loop (up to ~5 minutes) since codecov often reports after the required checks finish: for i in $(seq 1 5); do CODECOV=$(gh pr checks <number> 2>&1 | grep 'codecov/patch' || true) if echo "$CODECOV" | grep -q 'pass'; then echo "codecov/patch passed"; exit 0 elif echo "$CODECOV" | grep -q 'fail'; then echo "codecov/patch FAILED"; exit 1 fi sleep 60 done echo "codecov/patch not reported after 5 minutes" exit 1 If it fails, investigate with task coverage and cargo llvm-cov report --show-missing-lines | grep <file>.
  4. Report completion only after all required checks and codecov/patch pass.

Never report "done" before CI passes — CI runs on Linux, Windows, and macOS. Avoid gh run watch and gh pr checks --watch — both can hang indefinitely.

Before dismissing local test failures as "pre-existing", check main branch CI:

gh api "repos/{owner}/{repo}/actions/runs?branch=main&status=completed&per_page=3" \
  --jq '.workflow_runs[] | {conclusion, created_at: .created_at}'

If you cannot verify, say "I haven't confirmed whether these failures are pre-existing."

Replying to Comments

Reply in context rather than creating new top-level comments:

  • Inline review comments (#discussion_r): Reply in the review thread: cat > /tmp/reply.md << 'EOF' Your response here EOF gh api repos/{owner}/{repo}/pulls/{number}/comments/{comment_id}/replies \ -F body=@/tmp/reply.md
  • Conversation comments (#issuecomment-): Post a regular comment (GitHub doesn't support threading).

Comment Formatting

Keep comments concise. Put supporting detail inside <details> tags — the reader should get the gist without expanding. Don't collapse content that *is* the answer (e.g., a requested analysis).

<details><summary>Detailed findings (6 files)</summary>

...details here...

</details>

Always use markdown links for files, issues, PRs, and docs. Prefer permalinks (commit SHA URLs) over branch-based links for line references — line numbers shift and blob/main/...#L42 links go stale.

  • Files: link to GitHub (blob/main/... for file-level, blob/<sha>/...#L42 for lines)
  • Issues/PRs: #123 shorthand
  • External: [text](url) format

Don't add job links or footers — claude-code-action adds these automatically.

Shell Quoting

Shell expansion corrupts $ and ! in arguments (bash history expansion mangles ! in double-quoted strings). Always use a temp file for comment bodies and shell-sensitive arguments:

# Comments — ALWAYS use a file
cat > /tmp/comment.md << 'EOF'
Fixed — the `format!` macro needed its arguments on separate lines.
EOF
gh pr comment 1286 -F /tmp/comment.md

# Review replies — ALWAYS use a file
cat > /tmp/reply.md << 'EOF'
Good catch! Updated to use `assert_eq!` instead.
EOF
gh api repos/{owner}/{repo}/pulls/{number}/comments/{id}/replies \
  -F body=@/tmp/reply.md

# GraphQL — write query to a file
cat > /tmp/query.graphql << 'GRAPHQL'
query($owner: String!, $repo: String!) { ... }
GRAPHQL
gh api graphql -F query=@/tmp/query.graphql -f owner="$OWNER"

# jq with ! — use a file
cat > /tmp/jq_filter << 'EOF'
select(.status != "COMPLETED")
EOF
gh api ... --jq "$(cat /tmp/jq_filter)"

Use << 'EOF' (single-quoted delimiter) to prevent expansion. For file-based bodies: gh pr comment uses -F /tmp/file (path directly), while gh api uses -F body=@/tmp/file (field assignment with @ prefix).

Keeping PR Titles and Descriptions Current

When revising code after review feedback, update the title and description if the approach changed:

gh api repos/{owner}/{repo}/pulls/{number} -X PATCH \
  -f title="new title" -F body=@/tmp/updated-body.md

Atomic PRs

Split unrelated changes into separate PRs — one concern per PR. If one change could be reverted without affecting the other, they belong in separate PRs.

Investigating Other CI Runs

The primary evidence for diagnosing bot behavior is the session log artifact — not console output (show_full_output defaults to false).

gh run download <run-id> -n claude-session-logs -D /tmp/session-logs-<run-id>

The artifact contains JSONL files (path like -home-runner-work-worktrunk-worktrunk/<session-id>.jsonl). Each line has a type field (user, assistant, system).

# Skills loaded
jq -r 'select(.type == "assistant") | .message.content[]? |
  select(.type == "tool_use" and .name == "Skill") | .input.skill' <FILE>.jsonl

# Tool calls
jq -r 'select(.type == "assistant") | .message.content[]? |
  select(.type == "tool_use") |
  "\(.name): \(.input | tostring | .[0:100])"' <FILE>.jsonl

# Assistant reasoning
jq -r 'select(.type == "assistant") | .message.content[]? |
  select(.type == "text") | .text' <FILE>.jsonl

Find the right run among multiple workflows:

gh api 'repos/{owner}/{repo}/actions/runs?per_page=30' \
  --jq '.workflow_runs[] | select(.name | startswith("claude-")) |
    {id, name, event, head_branch, created_at, conclusion}'

Check for artifacts before downloading:

gh api repos/{owner}/{repo}/actions/runs/<run-id>/artifacts \
  --jq '.artifacts[] | {name, size_in_bytes}'

Review-response runs triggered by pull_request_review or pull_request_review_comment events sometimes produce no artifact when the session is very short.

Grounded Analysis

CI runs are not interactive — every claim must be grounded in evidence. The user can't ask follow-up questions; treat every response as your final answer.

Read logs, code, and API data before drawing conclusions. Show evidence: cite log lines, file paths, commit SHAs. Trace causation — if two things co-occur, find the mechanism rather than saying "this may be related." Never claim a failure is "pre-existing" without checking main branch CI history. Distinguish what you verified from what you inferred.

Tone

Raise observations, don't assign work. Never create checklists or task lists for the PR author.

PR Review Comments

For review comments on specific lines ([Comment on path:line]), read that file and examine the code at that line before answering.

When the GitHub API returns a diff_hunk, the reviewer's comment targets the last line of that hunk. Use this to disambiguate when multiple candidates exist nearby — match the reviewer's request against the specific anchored line, not the surrounding region.

平台分布

Codex

34.7%
按下载量换算75

Claude

29.56%
按下载量换算64

Cursor

18.76%
按下载量换算41

Gemini CLI

9.23%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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