My Pr Checker logo

My Pr Checker

OrganizationPopular
homeassistant-ai
my-pr-checker

Manage your own GitHub pull requests — check CI status, inline review comments, PR-level comments, resolve review threads, fix issues, and iterate until all checks pass and threads are resolved. Use for managing your own PRs (not external contributions). Triggers on "check my PR", "check PR", "/my-pr-checker <number>".

Overview

Publisherhomeassistant-ai
Repositoryha-mcp
Skill namemy-pr-checker
Stars
5K
Forks
233
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by homeassistant-ai on GitHub. Read the source before you install it.

Installation

Install the My Pr Checker 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.
    https://github.com/homeassistant-ai/ha-mcp/tree/master/.claude/skills/my-pr-checker
  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/homeassistant-ai/ha-mcp.git /tmp/ha-mcp
mkdir -p .claude/skills
cp -r /tmp/ha-mcp/.claude/skills/my-pr-checker .claude/skills/my-pr-checker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable My Pr Checker 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 My Pr Checker 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 My Pr Checker 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.

My PR Checker

Review and resolve all outstanding issues on PR #$ARGUMENTS in homeassistant-ai/ha-mcp.

Step 1: Full PR Assessment

bash
# PR overview
gh pr view "$ARGUMENTS" --repo homeassistant-ai/ha-mcp \
  --json title,body,state,reviews,statusCheckRollup,headRefName,additions,deletions,changedFiles

# CI checks
gh pr checks "$ARGUMENTS" --repo homeassistant-ai/ha-mcp

# Inline review comments
gh api repos/homeassistant-ai/ha-mcp/pulls/"$ARGUMENTS"/comments \
  --jq '.[] | {id, path, line, author: .user.login, body}'

# PR-level comments
gh api repos/homeassistant-ai/ha-mcp/issues/"$ARGUMENTS"/comments \
  --jq '.[] | {id, author: .user.login, body}'

# Unresolved review threads
gh api graphql -F pr="$ARGUMENTS" -f query='query($pr: Int!) { repository(owner:"homeassistant-ai", name:"ha-mcp") { pullRequest(number:$pr) { reviewThreads(first:100) { nodes { id isResolved path line comments(first:1) { nodes { databaseId body author { login } } } } } } } }'

Step 2: Triage Comments

  • Human comments: highest priority
  • Bot comments (Copilot, Codex, CodeRabbit, etc.): treat as suggestions — assess whether they prevent a bug or improve maintainability; dismiss with explanation if not

Accept if: prevents a bug, improves clarity for future maintainers, aligns with project conventions, addresses security. Dismiss if: incorrect suggestion, reduces readability, conflicts with project patterns, already handled elsewhere.

Step 3: Fix Code Issues

bash
gh pr checkout "$ARGUMENTS" --repo homeassistant-ai/ha-mcp
# make changes
git add <files>
git commit -m "fix: address review feedback - [description]"
git push

Fix unrelated test failures encountered (document in final summary).

After each push, if the scope changed, update the PR description:

bash
gh pr edit "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --body "..."

Step 4: Resolve Each Thread (both steps required)

bash
# 1a. Reply on inline thread
gh api repos/homeassistant-ai/ha-mcp/pulls/"$ARGUMENTS"/comments/<COMMENT_ID>/replies \
  -f body="✅ Fixed in [commit]. [explanation]"
# or for dismissed:
gh api repos/homeassistant-ai/ha-mcp/pulls/"$ARGUMENTS"/comments/<COMMENT_ID>/replies \
  -f body="📝 Not addressing because [reason]."

# 1b. PR-level summary comment (when there are multiple inline threads)
gh pr review "$ARGUMENTS" --repo homeassistant-ai/ha-mcp \
  --comment --body "✅ Addressed review feedback in [commit]. [summary]"

# 2. Resolve thread via GraphQL
gh api graphql -f query='mutation($threadId: ID!) { resolveReviewThread(input: {threadId: $threadId}) { thread { id isResolved } } }' \
  -f threadId="<PRRT_...>"

Why: Unresolved threads block merging even after approval.

Step 5: Wait and Re-check

bash
gh pr checks "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --watch

Repeat Steps 1–5 until:

  • All CI checks green ✅
  • All review threads resolved ✅
  • No new blocking comments ✅

Step 6: Final Report

If improvements were identified during review, default to fix-in-place per AGENTS.md § Boy Scout Rule — Handling Discovered Improvements. Only add to the PR description's ## Future improvements section if the user has explicitly confirmed the work is out of scope. Never self-bucket findings there.

Post a summary comment:

bash
gh pr comment "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --body "## PR Assessment Summary

✅ **Status**: Ready for review/merge

**Choices Made:**
- [key decisions when resolving issues]

**Problems Encountered:**
- [issues faced and how resolved]
- [unrelated test failures fixed, if any]
"

Special Operations

Use these when needed. Re-creating the PR (which closes it) and deleting a comment each need the user's approval for that exact action first:

  • Rebase: gh pr checkout "$ARGUMENTS" && git rebase master && git push --force-with-lease
  • Re-create PR: gh pr close "$ARGUMENTS" --repo homeassistant-ai/ha-mcp then gh pr create --draft … with the same branch
  • Delete comment: gh api -X DELETE repos/homeassistant-ai/ha-mcp/issues/comments/<id>
  • Update title: gh pr edit "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --title "new title"

Rules

  • NEVER merge automatically unless explicitly asked
  • Be conservative dismissing feedback — when in doubt, ask the user
  • If CI keeps failing on the same issue after 3 attempts, report the blocker rather than looping

Frequently asked questions

What does the My Pr Checker AI skill do?

Manage your own GitHub pull requests — check CI status, inline review comments, PR-level comments, resolve review threads, fix issues, and iterate until all checks pass and threads are resolved. Use for managing your own PRs (not external contributions). Triggers on "check my PR", "check PR", "/my-pr-checker <number>".

Why use My Pr Checker on TypingMind?

Because you install it once and use it with any model. My Pr Checker 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 My Pr Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/homeassistant-ai/ha-mcp/tree/master/.claude/skills/my-pr-checker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use My Pr Checker?

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 My Pr Checker?

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

Is the My Pr Checker AI skill free?

Yes. It is published on GitHub by homeassistant-ai 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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