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Comet Github Issue Triage

OrganizationPopular
rpamis
comet-github-issue-triage

对照当前仓库契约、源码、Runtime、测试和安装行为，验证并分类 Comet GitHub Issue。用户询问 Issue 是否真实、可复现、重复、已实现、属于配置问题，或是否适合后续处理时使用。

Overview

Publisherrpamis
Repositorycomet
Skill namecomet-github-issue-triage
Stars
3.1K
Forks
295
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Issue 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-issue-triage .claude/skills/comet-github-issue-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet Github Issue 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 Issue 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 Issue 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 Issue 分诊

先读取 ../comet-github/references/maintainer-contract.md。除非用户明确授权 GitHub 或代码变更，否则保持只读。

收集当前证据

  1. 阅读完整 Issue 正文、评论、标签、作者、时间、关联 PR 和此前的分诊记录。
  2. 按领域概念搜索已有 Issue，而不只是复用报告者的原文措辞。识别重复、被替代的 Issue 和已经实现的行为。
  3. 检查当前源码、配置、安装路径、生成资产和相关测试，以实际仓库契约作为判断依据。
  4. Bug 信息充分时复现最小有效路径。环境或凭证问题需要区分本地设置和产品行为。

不要仅因描述听起来合理就认定存在缺陷。报告可能有效、夸大、过期，或由本地安装/配置不一致造成。

分类结果

选择一个主要分类：

  • confirmed defect：当前行为违反用户可见行为或仓库契约，且证据能定位路径；
  • likely defect：证据较强，但仍缺少复现或决定性边界；
  • configuration/install issue：产品行为正确，或本地安装已过期/配置错误；
  • duplicate/already implemented：行为或 Issue 已在其他位置存在；
  • insufficient information：需要补充具体步骤、版本、日志、平台或项目状态；
  • feature request：请求的是新能力，而不是回归问题。

报告与下一步

返回分类和置信度、检查过的证据、相关代码/Runtime 路径、已确认和未知的内容，以及建议动作：补充信息、本地修复、创建聚焦 follow-up、关联已有 PR，或按重复/已实现处理。

不得自动关闭、加标签、评论或创建 follow-up Issue。确实需要新 Issue 时，用户确认范围后再交给 comet-github-idea-to-issue 起草。

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 Issue Triage AI skill do?

对照当前仓库契约、源码、Runtime、测试和安装行为，验证并分类 Comet GitHub Issue。用户询问 Issue 是否真实、可复现、重复、已实现、属于配置问题，或是否适合后续处理时使用。

Why use Comet Github Issue Triage on TypingMind?

Because you install it once and use it with any model. Comet Github Issue 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 Issue 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-issue-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 Issue 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 Issue Triage?

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

Is the Comet Github Issue 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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