pr-cleanup

pr-cleanup is a skill for Claude Code from skyfox675/agents-skills. It costs 92 tokens per session (1,464 once invoked), scanned A, original, MIT.

A watcher that cleans up local branches and worktrees after agent pull requests are closed. It also closes linked GitHub or Jira issues when needed and releases the related claim lock.

In plain words
What is it for?
Deleting merged local branches, removing spent worktrees, closing linked issues, and releasing locks after completed pull requests.
Why use it?
It removes leftover development files and bookkeeping after a pull request finishes, especially when the normal issue-closing behavior does not apply.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions subagents.

Good fit Deleting merged local branches, removing spent worktrees, closing linked issues, and releasing locks after completed pull requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skyfox675/agents-skills/pr-cleanup
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add skyfox675/agents-skills --skill pr-cleanup
Clone the repo
git clone --depth 1 https://github.com/skyfox675/agents-skills

Made for: Claude Code.

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 pr-cleanup

README.md
[![agentmods](https://agentmods.dev/badge/skills/skyfox675/agents-skills/pr-cleanup/github.svg)](https://agentmods.dev/skills/skyfox675/agents-skills/pr-cleanup)
Your own site
<a href="https://agentmods.dev/skills/skyfox675/agents-skills/pr-cleanup"><img src="https://agentmods.dev/badge/skills/skyfox675/agents-skills/pr-cleanup/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 pr-cleanup

Your own site · 80×15
<a href="https://agentmods.dev/skills/skyfox675/agents-skills/pr-cleanup"><img src="https://agentmods.dev/badge/skills/skyfox675/agents-skills/pr-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,464 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 $0.00092 $0.01464
Opus 5 $0.00046 $0.00732
Sonnet 5 $0.00018 $0.00293
Haiku 4.5 $0.00009 $0.00146

Measured 8d ago against content hash 01c8dfabcaa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pr-cleanup 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 8d 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.

.claude/skills/pr-cleanup/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Cleanup Watcher

One job: tidy up after PRs close. When <integration-branch> is not the repo's default branch, GitHub does not auto-close Closes #N issues (the PR lands off the default branch), so closure is manual. Reclaim local disk, close the linked issue, release the lock. Nothing else.

This skill builds on the lock-release protocol in the issue-locking skill (gh-issue-locking for GitHub, jira-issue-locking for Jira) and the worktree/branch hygiene in dispatching-subagents. It adds the single-lane watcher loop and the merged-vs-abandoned close-out split.

Project bindings

Project-agnostic; the adopting project defines these in its own CLAUDE.md. Used here:

Placeholder Meaning
<owner>/<repo> GitHub repository slug
<integration-branch> Branch PRs target; if it is NOT the repo default, Closes #N does not auto-close — closure is manual
<default-branch> The repo's default branch (GitHub only auto-closes issues for PRs merged into this)
<worktree-dir> Where feature branches live on disk (see dispatching-subagents)
<claim-lock> The active-claim marker — a label (agent-claimed) + assignee on GitHub, the equivalent field on Jira (see the issue-locking skill)
<tracker-key> Linked tracker reference convention (a GitHub #N, a Jira issue key)

The watcher model

A single-lane, interval-driven loop — one concern, scanned end-to-end every tick (/loop <interval> start). Distinct from the N-slot event loop in orchestrating-slots and the one-shot pr-rescuer. One watcher per lane; lanes do not cross.

This lane is light and read-mostly — cleanup is bounded shell + tracker API. Run it on the workhorse tier and delegate noisy scans (branch lists, worktree audits) to the cheap tier (caveman:cavecrew-investigator, or a fixed command parsed), keeping output compressed. It writes no application code, so there is no fix-sub-agent slot count here.

Lane (do not cross)

Read the full file on GitHub · 62 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. 8d ago First seen · 62 lines · 92 tokens per session scan A 01c8dfabcaa7

Subscribe to this mod's changes

pr-cleanup is a skill published in the GitHub repository skyfox675/agents-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 92 tokens to every session and 1,464 once invoked, about $0.0005 per session on Opus 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 2026-09-03.