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Babysit

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thedotmack
babysit

Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.

Overview

Publisherthedotmack
Repositoryclaude-mem
Skill namebabysit
Stars
94.1K
Forks
8.3K
Bundled files
Instructions only
LicenseApache-2.0
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 thedotmack on GitHub. Read the source before you install it.

Installation

Install the Babysit 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/thedotmack/claude-mem.git /tmp/claude-mem
mkdir -p .claude/skills
cp -r /tmp/claude-mem/plugin/skills/babysit .claude/skills/babysit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Babysit 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 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 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

Stay with the PR until it is actually clean. Do not stop after one check pass if comments or review threads are still unresolved.

Workflow

  1. Identify the PR number, branch, and base branch.
  2. Confirm the PR is not draft and inspect mergeability, checks, review decision, comments, and review threads.
  3. Watch pending checks until they finish. Poll at a practical interval, usually 30-60 seconds unless the user asks for a different cadence.
  4. Read new comments and unresolved review threads. Treat bot summaries as useful, but verify actionable findings against the code.
  5. Fix real issues in focused commits, run relevant tests/builds, push, and return to step 2.
  6. Resolve stale review threads only after verifying the code or generated artifact now addresses the comment.
  7. Stop only when checks are passing or intentionally skipped, review decision is acceptable, no actionable comments remain, and no unresolved review threads remain.

GitHub CLI Checks

Use gh pr view for the coarse status:

bash
gh pr view <number> --json \
  number,state,isDraft,mergeable,mergeStateStatus,reviewDecision,headRefOid,statusCheckRollup,url

Resolve the repository owner/name before using GraphQL:

bash
repo_json=$(gh repo view --json owner,name)
owner=$(jq -r '.owner.login // .owner.name' <<<"$repo_json")
repo=$(jq -r '.name' <<<"$repo_json")

Use GraphQL for unresolved review threads. Include pageInfo; omit cursor on the first page, then pass the previous endCursor with -f cursor="$cursor" while hasNextPage is true.

bash
gh api graphql \
  -f query='query($owner:String!,$repo:String!,$number:Int!,$cursor:String){repository(owner:$owner,name:$repo){pullRequest(number:$number){reviewThreads(first:100,after:$cursor){pageInfo{hasNextPage endCursor}nodes{id,isResolved,isOutdated,path,line,comments(last:1){nodes{author{login},body,createdAt,url}}}}}}}' \
  -f owner="$owner" -f repo="$repo" -F number=<number>

Use this loop when a PR may have many review threads:

bash
thread_query='query($owner:String!,$repo:String!,$number:Int!,$cursor:String){repository(owner:$owner,name:$repo){pullRequest(number:$number){reviewThreads(first:100,after:$cursor){pageInfo{hasNextPage endCursor}nodes{id,isResolved,isOutdated,path,line,comments(last:1){nodes{author{login},body,createdAt,url}}}}}}}'
cursor_args=()

while :; do
  page=$(gh api graphql -f query="$thread_query" -f owner="$owner" -f repo="$repo" -F number=<number> "${cursor_args[@]}")
  printf '%s\n' "$page" | jq -r '.data.repository.pullRequest.reviewThreads.nodes[]
    | select(.isResolved==false)
    | [.id,.path,(.line//""),(.isOutdated|tostring),(.comments.nodes[-1].author.login//""),(.comments.nodes[-1].body|gsub("\n";" ")|.[0:240])]
    | @tsv'

  jq -e '.data.repository.pullRequest.reviewThreads.pageInfo.hasNextPage' >/dev/null <<<"$page" || break
  cursor=$(jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.endCursor' <<<"$page")
  cursor_args=(-f cursor="$cursor")
done

Filter unresolved threads with jq:

bash
jq -r '.data.repository.pullRequest.reviewThreads.nodes[]
  | select(.isResolved==false)
  | [.id,.path,(.line//""),(.isOutdated|tostring),(.comments.nodes[-1].author.login//""),(.comments.nodes[-1].body|gsub("\n";" ")|.[0:240])]
  | @tsv'

Resolve a stale thread only when the fix is verified:

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

Operating Rules

  • Keep the watcher running while long checks are pending.
  • If a generated file is part of the distribution, verify the source and generated artifact agree before resolving comments.
  • If a bot reports an issue against stale code, confirm whether the thread is outdated or addressed in the latest head.
  • Before final reporting, do one fresh sweep of PR status, unresolved threads, recent comments, and local git status.
  • Report concrete evidence: latest commit SHA, check names and results, unresolved thread count, tests run, and any dirty local files left untouched.

Frequently asked questions

What does the Babysit AI skill do?

Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.

Why use Babysit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/babysit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Babysit?

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?

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

Is the Babysit AI skill free?

Yes. It is published on GitHub by thedotmack under the Apache-2.0 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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