Comet Github Pr Review logo

Comet Github Pr Review

OrganizationPopular
rpamis
comet-github-pr-review

以只读、证据优先的方式审阅 Comet 社区 PR，包括最新 diff、关联 Issue、review thread 状态、可合并性和 CI。用户要求审阅 PR、判断评论是否仍然有效，或准备简洁的合并阻塞评论时使用。

Overview

Publisherrpamis
Repositorycomet
Skill namecomet-github-pr-review
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 Pr Review 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-pr-review .claude/skills/comet-github-pr-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet Github Pr Review 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 Pr Review 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 Pr Review 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 PR 审阅

先读取 ../comet-github/references/maintainer-contract.md。除非用户另行授权修复或回复 GitHub，否则保持只读。

刷新目标状态

  1. 解析 PR 编号或 URL，并确认仓库。
  2. 获取当前 PR 元数据：目标分支、源分支和 SHA、作者、关联 Issue、标签、可合并状态和更新时间。
  3. 阅读完整 PR 正文、提交、diff、评论和 review thread。确认 thread 是否已解决或过期，不要把所有可见评论都当作仍然有效。
  4. 查询准确 head 对应的当前检查。如果有失败检查，将详细调查交给 comet-github-ci-triage。

结论必须基于当前 PR head/base。测试通过不能证明 PR 可合并，因为 head 可能落后于 base 或存在当前冲突。

审阅实现

针对每个声明的行为：

  • 找到真实的生产调用路径；
  • 将实现与关联 Issue/spec 对照；
  • 必要时检查相关测试和生成 Runtime 资产；
  • 报告 Bug 或阻塞项时复现可达的失败路径；
  • 检查当前 head 是否已经修复该问题。

Review bot 输出只能作为调查线索，不能直接作为结论。区分生产逻辑、测试/fixture 漂移、生成物漂移、环境噪音和合并冲突。

只报告必须处理的问题

优先报告会阻塞正确性、数据完整性、安全、用户可见行为或合并的问题。除非仓库契约明确要求，否则省略纯风格建议、理论边界和推测性改进。

每个问题包含：严重程度、简洁标题、准确的文件/行号或 Runtime 路径、当前行为为何失败、最小修正方向以及证据状态。

结尾给出明确结论，例如“没有必须修复项”“存在必须修复项”“需要先处理合并/CI 问题”或“证据不足”。

评论和修复边界

  • 用户要求评论时，在分析后提供可直接复制的 Markdown。
  • 未经明确要求不得发布评论。
  • 用户要求修复时，将已确认范围交给 comet-github-issue-fix 或现有 Comet workflow；不要基于未确认的 bot 建议直接修改。

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 Pr Review AI skill do?

以只读、证据优先的方式审阅 Comet 社区 PR，包括最新 diff、关联 Issue、review thread 状态、可合并性和 CI。用户要求审阅 PR、判断评论是否仍然有效，或准备简洁的合并阻塞评论时使用。

Why use Comet Github Pr Review on TypingMind?

Because you install it once and use it with any model. Comet Github Pr Review 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 Pr Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/assets/skills-maintainer/comet-github-pr-review. 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 Pr Review?

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 Pr Review?

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

Is the Comet Github Pr Review 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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