重要前提
安装AI Skills的关键前提是:必须科学上网,且开启TUN模式,这一点至关重要,直接决定安装能否顺利完成,在此郑重提醒三遍:科学上网,科学上网,科学上网。查看完整安装教程 →
npx skills add https://github.com/checkmk/checkmk --skill jenkins# 获取 Jenkins 作业结果
jenkins_build_data.py <Jenkins job URL> --include=stages
# 您可以下载测试结果和控制台输出:
jenkins_build_data.py <Jenkins stage job URL> --include=console,tests
# 如果截断的控制台日志信息不足,请下载完整日志
jenkins_build_data.py <Jenkins stage job URL> --include=full-console
# 如果 Jenkins 作业/构建仍处于 BUILDING 状态,您可以轮询直到其完成(默认为 2 分钟):
jenkins_build_data.py <url> --poll [--poll-interval=SECONDS]
# 用法:
# jenkins_build_data.py [-h] [--include INCLUDE] [--download SPEC] [--download-dir DOWNLOAD_DIR] [--json] [-q] url
#
# INCLUDE 可以是:console,tests,artifacts,stages,full-console
优先使用 jq 而非 python3 命令。
请用户克隆 zeug_cmk git 仓库并将其添加到 PATH 中。另请参阅:https://wiki.lan.checkmk.net/x/4zBSCQ
每周安装次数
53
代码仓库
GitHub 星标数
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
2.2K
首次出现
2026 年 2 月 4 日
安全审计
已安装于
opencode53
codex53
gemini-cli52
github-copilot52
amp52
kimi-cli52
# Fetch the Jenkins job results
jenkins_build_data.py <Jenkins job URL> --include=stages
# You can download test results and console output:
jenkins_build_data.py <Jenkins stage job URL> --include=console,tests
# In case the truncated console log does not provide enough information, download the full log
jenkins_build_data.py <Jenkins stage job URL> --include=full-console
# in case the jenkins job/build is still BUILDING, you can poll until it is finished (defaults 2 minutes):
jenkins_build_data.py <url> --poll [--poll-interval=SECONDS]
# Usage:
# jenkins_build_data.py [-h] [--include INCLUDE] [--download SPEC] [--download-dir DOWNLOAD_DIR] [--json] [-q] url
#
# INCLUDE can be: console,tests,artifacts,stages,full-console
Prefer jq over python3 commands.
Ask the user to clone the zeug_cmk git repository and add it to their PATH. See also: https://wiki.lan.checkmk.net/x/4zBSCQ
Weekly Installs
53
Repository
GitHub Stars
2.2K
First Seen
Feb 4, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykWarn
Installed on
opencode53
codex53
gemini-cli52
github-copilot52
amp52
kimi-cli52
Azure Data Explorer (Kusto) 查询技能:KQL数据分析、日志遥测与时间序列处理
145,500 周安装