Babysit Pr

Organization

greenfield-inc

babysit-pr

Use after a pull request is open to watch its CI and review-bot comments until it is ready. Fixes real findings, replies with a reason to false positives, rebases when the base moves, and stops when bots and required checks are green. Merges only when the person asked.

Overview

Publisher	greenfield-inc
Repository	`Pane`
Skill name	`babysit-pr`
Stars	529
Forks	227
Bundled files	1
Links	Skill source Repository Homepage

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 greenfield-inc on GitHub. Read the source before you install it.

Installation

Install the Babysit Pr 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/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/babysit-pr
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/babysit-pr

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/greenfield-inc/Pane.git /tmp/Pane
mkdir -p .claude/skills
cp -r /tmp/Pane/main/src/services/paneChatBundle/skills/babysit-pr .claude/skills/babysit-pr

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

Use it in TypingMind

Enable Babysit Pr 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 Babysit Pr 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 Babysit Pr 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.

Babysit PR

Most repositories run AI review bots and CI on every pull request. They are helpful, even when they are not right.

Watch

Watch the PR instead of checking once. In Claude Code, run gh pr checks <pr> --watch in the background or use a monitor, so you respond when checks or comments arrive. In Codex, or wherever nothing can wake you, poll gh pr checks <pr> and the review threads every few minutes.

Only act on checks and comments newer than the latest push. Compare their timestamps with the head commit:

bash
gh pr view <pr> --json headRefOid,commits,statusCheckRollup,reviews,comments

Review threads, and whether they are resolved, come from GraphQL:

bash
gh api graphql -f query='query($o:String!,$r:String!,$n:Int!){repository(owner:$o,name:$r){pullRequest(number:$n){reviewThreads(first:100){nodes{id isResolved comments(last:1){nodes{author{login} body createdAt path line}}}}}}}' -f o=<owner> -f r=<repo> -F n=<pr>

Act

Verify every bot finding against the source before changing code. Fix real findings and CI failures. Tell repository failures apart from infrastructure flakes; rerun a flake once with gh run rerun <run-id> --failed before treating it as real.

If a review bot leaves feedback that is not worth addressing, reply with a written reason and resolve the thread:

bash
gh api graphql -f query='mutation($id:ID!){resolveReviewThread(input:{threadId:$id}){thread{isResolved}}}' -f id=<thread-id>

Every reply is posted under the person's account. Write it the way they would: short, specific, and without filler.

Screenshots and videos help reviewers. Host them where the repository's workflow says (a Grain artifact or a release asset, for example) and link them. Never commit evidence files.

Keep an eye on the base branch and rebase when needed. If an overlapping PR makes this one obsolete, stop monitoring, tell the person, and ask before closing it unless closing was explicitly authorized.

Do not let review feedback expand the PR beyond the person's original goal. Address real shortcomings, but avoid scope creep.

Stop

If nothing has changed, stay quiet rather than posting filler comments. Stop when the review bots and required checks are green on the latest commit. Merge only when the person explicitly asked for it; otherwise report that the PR is ready.

Bundled files

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

metadata/codex.yaml1 KB

Frequently asked questions

What does the Babysit Pr AI skill do?

Why use Babysit Pr on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/babysit-pr. 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 Babysit Pr?

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 Babysit Pr?

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

Is the Babysit Pr AI skill free?

It is published on GitHub by greenfield-inc. Check the repository for licensing terms. 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

Babysit PR

Watch

Act

Stop

Bundled files

Frequently asked questions

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