pr-grooming

pr-grooming is a skill for Claude Code, Codex from sfc-gh-eraigosa/dotfiles. It costs 147 tokens per session (2,819 once invoked), scanned A, original, Apache-2.0.

A pull-request cleanup and triage workflow. A pull request is a proposed code change awaiting review; this workflow checks whether open ones still matter, what they need, and who should act next.

In plain words
What is it for?
It helps review open pull requests, identify stale work, rebase branches, check mergeability and CI results, and decide whether to close, refresh, or queue each request.
Why use it?
It helps prevent outdated drafts and stale changes from accumulating, while preserving the reason for closing anything that is no longer needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It helps review open pull requests, identify stale work, rebase branches, check mergeability and CI results, and decide whether to close, refresh, or queue each request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sfc-gh-eraigosa/dotfiles/pr-grooming
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 sfc-gh-eraigosa/dotfiles --skill pr-grooming
Clone the repo
git clone --depth 1 https://github.com/sfc-gh-eraigosa/dotfiles

Made for: Claude Code, Codex.

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-grooming

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-eraigosa/dotfiles/pr-grooming/github.svg)](https://agentmods.dev/skills/sfc-gh-eraigosa/dotfiles/pr-grooming)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-eraigosa/dotfiles/pr-grooming"><img src="https://agentmods.dev/badge/skills/sfc-gh-eraigosa/dotfiles/pr-grooming/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-grooming

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-eraigosa/dotfiles/pr-grooming"><img src="https://agentmods.dev/badge/skills/sfc-gh-eraigosa/dotfiles/pr-grooming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,819 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 $0.00147 $0.02819
Opus 5.5 $0.00059 $0.01128
Sonnet 5.5 $0.00029 $0.00564
Haiku 4.5 $0.00015 $0.00282

Measured today against content hash d2f0acf8b9cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-grooming 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 today.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/pr-apply.sh, scripts/pr-rebase.sh, scripts/pr-report.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ai/skills/pr-grooming/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pr-grooming — decide the fate of every open PR against main

A PR grooming pass answers, for every open PR, does this still apply, what does it need to land (a rebase, a refresh, a decision), and who acts next. The output is a shorter PR list where each survivor is rebased, CI-verified and either queued or clearly waiting on a human, plus a report the owner can scan in a minute.

Why the rigor: in this repo drafts are cheap (gss feature worker add opens one per leaf), so they pile up — design docs written for a CLI that was retired, plans that later merged under a different objective, WIP parked "to decide later". A PR's own description says what it was; main, docs/mbo/index.md and the merged-PR list say what is still true. Only the evidence decides, and every close names its successor so nothing is lost (branches are never deleted).

0 — Setup (one command)

bash ai/skills/pr-grooming/scripts/pr-snapshot.sh -o <scratch>/pr-groom

triage.tsv gives each PR a first-cut category, age, draft state, merge state and CI state; prs.txt has bodies, files, comments and check names; mbo-rows.txt lists the docs/mbo/index.md rows that mention each PR or its branch slug. Read all three before judging anything. Correct the category by hand where the heuristic is wrong (a fix: title on a docs change is not a bugfix; a wip: draft that fixes a hanging test is a bugfix) and write the corrected category into the verdict — the report shows what you decided, not what the script guessed.

Hooks note (this repo): the privacy hook blocks command text containing the login name or an absolute home path — refer to scratch and worktree dirs by a glob or ~. The Bash tool runs zsh; build flag lists as arrays.

1 — Categories and what each one needs

Category Question to answer Typical outcome
mbo-draft (draft touching docs/mbo/, or an objective's design/plan) Is the objective still live? Is there a merged row in index.md (or a merged PR) covering the same slug — a duplicate or a conflicting plan? prefer the merged MBO: close the draft as duplicate; a live objective that is merely behind → rebase-only; a design written for something the repo no longer has → stale
stale-draft (any other draft ≥ 30 days) Does the work still apply to main, and is anyone going to finish it? clearly abandoned → stale with the reason; still plausible → rebase-only and a comment asking for the keep/drop decision
bugfix Does the bug still reproduce on main? still reproduces → refresh: rebase, resolve conflicts, prove the PR fixes it, promote to ready with a comment asking for a review refresh; no longer reproduces → stale (name the commit that fixed it)
dependabot Is it a patch/minor bump with green CI after a rebase? rebase; green patch/minor → ready (label ready-for-merge); major or red → leave with a comment on what failed
other Behind main? CI green? behind → rebase-only; green and current → leave

Read the full file on GitHub · 160 lines

Files

What ships with it

8 files 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. today First seen · 160 lines · 147 tokens per session scan A d2f0acf8b9cd

Subscribe to this mod's changes

pr-grooming is a skill published in the GitHub repository sfc-gh-eraigosa/dotfiles (50 stars, last pushed today), licensed Apache-2.0. It adds 147 tokens to every session and 2,819 once invoked, about $0.0006 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 2026-10-18.

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