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Comet Github Ci Triage

OrganizationPopular
rpamis
comet-github-ci-triage

使用 PR 当前准确 head、失败 job 日志、本地复现边界和可合并状态,诊断 Comet PR 的 GitHub Actions 与覆盖率检查。PR 出现 CI 报错、Codecov 问题、过期检查或无法解释的红色 job 时使用。

Overview

Publisherrpamis
Repositorycomet
Skill namecomet-github-ci-triage
Stars
3.1K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rpamis on GitHub. Read the source before you install it.

Installation

Install the Comet Github Ci Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rpamis/comet.git /tmp/comet
mkdir -p .claude/skills
cp -r /tmp/comet/assets/skills-maintainer/comet-github-ci-triage .claude/skills/comet-github-ci-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet Github Ci Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Comet Github Ci Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Comet Github Ci Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Comet GitHub CI 分诊

先读取 ../comet-github/references/maintainer-contract.md。默认只做诊断;只有用户要求时才实施修复。

检查准确的远端状态

  1. 解析 PR,记录当前 head SHA 和目标分支。
  2. 运行 gh pr checks <pr> --json name,state,bucket,link,workflow,startedAt,completedAt
  3. 对失败 job 使用 gh run view <run-id> --log-failed 或最小范围的 job 日志检查真实失败边界。不要在没有日志证据时相信聚合助手摘要。
  4. 检查可合并状态,并确认显示的检查属于当前 head。过期 run 不能证明当前代码有问题。
  5. Codecov 页面信息不完整时,通过可用 API 检查受影响文件和 patch coverage 元数据,并报告准确 head 和覆盖率范围。

分类失败原因

判断红色结果属于:

  • 生产代码;
  • 测试 fixture 或冻结契约投影;
  • 生成 Runtime 漂移或构建输出不确定;
  • 依赖、工具链或平台环境;
  • 凭证、权限或 Runner 配置;
  • 过期检查或合并冲突;
  • 未解决的覆盖率阈值。

用户要求实施时,在本地复现最小决定性边界。Windows 环境需要先区分沙箱、凭证或占位可执行文件噪音与真实 CI 失败,再修改产品代码。

准确报告状态

返回当前 head SHA、失败 job、根因、证据和最小动作。把远端状态与本地检查分开报告。超时、缺失、过期或尚未启动的检查都标记为“未验证”。

在准确最终 head 的新检查成功前,绝不宣称 CI 全绿。如果需要修复,将已确认范围交给 comet-github-issue-fix,获得授权后再使用 comet-safe-delivery

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Comet Github Ci Triage AI skill do?

使用 PR 当前准确 head、失败 job 日志、本地复现边界和可合并状态,诊断 Comet PR 的 GitHub Actions 与覆盖率检查。PR 出现 CI 报错、Codecov 问题、过期检查或无法解释的红色 job 时使用。

Why use Comet Github Ci Triage on TypingMind?

Because you install it once and use it with any model. Comet Github Ci Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Comet Github Ci Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/assets/skills-maintainer/comet-github-ci-triage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Comet Github Ci Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Comet Github Ci Triage?

As many as you like. As long as a model supports skills, you can use Comet Github Ci Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Comet Github Ci Triage AI skill free?

Yes. It is published on GitHub by rpamis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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