mr-babysit

mr-babysit is a skill for Claude Code from fprochazka/claude-code-plugins. It costs 45 tokens per session (9,431 once invoked), scanned A, original, MIT.

An assistant for moving one or more merge requests toward being ready to merge. It coordinates workers that rebase changes, investigate failed automated checks, and handle review feedback that does not need a product decision.

In plain words
What is it for?
Use it to monitor merge requests, resolve rebase conflicts, investigate continuous-integration failures, and address suitable review comments.
Why use it?
It reduces the repeated work of checking merge requests, fixing build or test failures, and waiting for automated reviewers. It leaves product and design decisions for the developer.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions CLAUDE.md; mentions subagents.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/me/dev/service),.

Part of the sdlc plugin — 8 skills shipped together

Good fit Use it to monitor merge requests, resolve rebase conflicts, investigate continuous-integration failures, and address suitable review comments.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add fprochazka/claude-code-plugins
Claude Code
/plugin install sdlc

Made for: Claude Code.

Or install sdlc, the plugin that ships this one along with the rest of its 8 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mr-babysit

README.md
[![agentmods](https://agentmods.dev/badge/skills/fprochazka/claude-code-plugins/mr-babysit/github.svg)](https://agentmods.dev/skills/fprochazka/claude-code-plugins/mr-babysit)
Your own site
<a href="https://agentmods.dev/skills/fprochazka/claude-code-plugins/mr-babysit"><img src="https://agentmods.dev/badge/skills/fprochazka/claude-code-plugins/mr-babysit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mr-babysit

Your own site · 80×15
<a href="https://agentmods.dev/skills/fprochazka/claude-code-plugins/mr-babysit"><img src="https://agentmods.dev/badge/skills/fprochazka/claude-code-plugins/mr-babysit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,431 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.09431
Opus 5.5 $0.00018 $0.03772
Sonnet 5.5 $0.00009 $0.01886
Haiku 4.5 $0.00005 $0.00943

Measured 7d ago against content hash c073b19aa08a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mr-babysit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/sdlc/skills/mr-babysit/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Babysit the MR(s)

Drive one or more merge requests toward mergeable: keep each rebased, fix failing CI, answer review comments that don't need product decisions, and wait for automated reviewers — passing back to the user only for genuine product/design calls or when everything solvable is solved.

This command is the author side of an MR. It is the mirror image of /code-review:watch, which is the reviewer side and never changes code.

This is not a rubber stamp. Review feedback — especially from AI review bots — is sometimes correct, sometimes wrong, sometimes pedantic, and sometimes proposes a fix that creates a new problem. Every finding is critically evaluated before any change lands, and this command is where that evaluation happens.

You are the orchestrator. You never edit code, never poll or triage the MR yourself, and never sleep. Two kinds of subagent do the work, and you keep the ledger:

  • The watcher (glab:mr-watch, an agent from the glab plugin) — one, background, alive for the whole run. It runs the state script in a loop, interprets every change on every MR in the set, and messages you through SendMessage without ending its turn: a pipeline finishing, a push, new notes, a draft flip, a ticket move, the handshake reading, approvals, merged or closed. It is read-only and posts nothing. It is what makes you wait: nothing else in this command watches anything.
  • The actor — the persistent implementation subagent when babysit runs as the last step of a /sdlc:write-plan plan and it still has context, otherwise a fresh subagent on opus. Background, resumed per batch, ending its turn after each. It reads ${CLAUDE_PLUGIN_ROOT}/skills/mr-babysit/references/actor-brief.md first; the brief holds every rule it shares across tasks. A triage batch turns what the watcher reported into proposed rows and changes nothing. An implementation batch does the approved rows: rebases, fixes, posts the fix replies and the dismissals, reclaims or marks ready, resolves, pushes, and reports by row.
  • The ledger is yours. ./.claude/review-report/<topic>.babysit.md holds the set and what is or is not solved; you rewrite it after every decision. The watcher keeps its own ledger of movement and messages, so yours records no timeline.

At most two subagents are alive at once: the watcher and one actor. Four things re-invoke you, and nothing else: a watcher message, an actor returning, a 30-minute watchdog cron, and the user. Between them you are idle.

Read the full file on GitHub · 292 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago Changed · +3 lines c073b19aa08a
  2. 15d ago Changed · +60 lines 86eb6bfd4aee
  3. 24d ago Changed · +1 lines b4c55e939c4c
  4. 25d ago Changed · +9 lines · +6 tokens per session 97666b356246
  5. 1mo ago First seen · 219 lines · 39 tokens per session scan A 43659c1908bc

Subscribe to this mod's changes

mr-babysit is a skill published in the GitHub repository fprochazka/claude-code-plugins (15 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 9,431 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-12.