Homerail Pr Review

Community

xiaotianfotos

homerail-pr-review

Run HomeRail's built-in read-only pull request review DAG. Use when the user asks to review a GitHub PR, requests an evidence-backed PR audit, or wants a reusable independent Qwen, Kimi, and GLM review with retained findings.

Overview

Publisher	xiaotianfotos
Repository	`homerail`
Skill name	`homerail-pr-review`
Stars	995
Forks	224
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by xiaotianfotos on GitHub. Read the source before you install it.

Installation

Install the Homerail Pr Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-pr-review
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.

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/xiaotianfotos/homerail.git /tmp/homerail
mkdir -p .claude/skills
cp -r /tmp/homerail/skills/homerail-pr-review .claude/skills/homerail-pr-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Homerail 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 Homerail 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 Homerail 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.

HomeRail PR Review

Use the concrete pr-review orchestration. Do not generate a replacement DAG and do not substitute a single-agent review.

Manager Agent Path

When the user says 审查 PR #25, review PR 25, or equivalent:

Resolve the repository from the current project or ask only when no repository is available.
Call run_pr_review with only repo in owner/name form and integer pr. This tool resolves immutable .base.sha and .head.sha plus trusted base and head clone URLs in code. Never copy, infer, reverse, or manually substitute those fields. Do not use gh, curl, instantiate_dag_pattern, or generic create_and_run when this tool exists.
Return the real run id immediately and use get_run_status for progress.
On completion, report the final published handoff and artifact paths. Never claim findings that are not present in the DAG evidence.

The workflow is read-only. It must never create a commit, approve a GitHub PR, submit a GitHub review, or merge anything. Its internal Quorum is evidence validation, not GitHub approval.

CLI Path

bash
hr dag run-template pr-review \
  --input '{"repo":"xiaotianfotos/homerail","pr":25}'

The CLI resolves trusted GitHub metadata, preserves explicitly pinned SHAs, validates the final input contract, syncs the tracked Asset, and starts the run. Clone URLs always come from GitHub metadata, never logical input. Add --wait for CI or unattended operation, then retrieve fixed outputs with:

bash
hr dag artifacts <run-id>
hr dag artifact <run-id> pr-review.json --output pr-review.json
hr dag artifact <run-id> pr-review.md --output pr-review.md

Evidence Contract

A useful run contains:

three complete reviewer handoffs from Qwen, Kimi, and GLM;
a deduplicated report that preserves every complete reviewer finding;
three independent approve/request-changes/abstain votes;
a deterministic gate requiring two approvals and zero retained findings;
declared pr-review.json and pr-review.md artifacts;
Manager audit and metrics records for the run.

Treat a cancelled run with a published report as inconclusive, not as a clean review. Infrastructure, contract, or artifact failures are errors and must not be rendered as zero findings. Do not reconstruct a report by scraping raw handoffs; consume only the Manager-validated declared artifacts.

Frequently asked questions

What does the Homerail Pr Review AI skill do?

Why use Homerail Pr Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-pr-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Homerail 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 Homerail Pr Review?

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

Is the Homerail Pr Review AI skill free?

Yes. It is published on GitHub by xiaotianfotos 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

HomeRail PR Review

Manager Agent Path

CLI Path

Evidence Contract

Frequently asked questions

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