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github.describe_pr_for_review

github.describe_pr_for_review is a skill for Claude Code from gpsaggese/helpers. It costs 21 tokens per session (4,081 once invoked), scanned A, original, Apache-2.0.

A pull-request description and review-planning tool for GitHub. It summarizes one or more proposed code changes, scores their complexity and quality, and suggests an order for reviewing them.

In plain words
What is it for?
Use it to prepare consistent review briefs for GitHub pull requests and decide which changes to review first.
Why use it?
It gives reviewers useful context before they inspect the full code diff. It also handles multiple pull requests separately and reports when one cannot be fetched.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

not rated 158repo +1 today A scan 21 tokens original Apache-2.0

Good fit Use it to prepare consistent review briefs for GitHub pull requests and decide which changes to review first.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gpsaggese/helpers/github.describe_pr_for_review
View source ↗ gpsaggese/helpers
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 gpsaggese/helpers --skill github.describe_pr_for_review
Clone the repo
git clone --depth 1 https://github.com/gpsaggese/helpers

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 github.describe_pr_for_review

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/github.describe_pr_for_review/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/github.describe_pr_for_review)
Your own site
<a href="https://agentmods.dev/skills/gpsaggese/helpers/github.describe_pr_for_review"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/github.describe_pr_for_review/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 github.describe_pr_for_review

Your own site · 80×15
<a href="https://agentmods.dev/skills/gpsaggese/helpers/github.describe_pr_for_review"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/github.describe_pr_for_review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,081 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 $0.00021 $0.04081
Opus 5.5 $0.00008 $0.01632
Sonnet 5.5 $0.00004 $0.00816
Haiku 4.5 $0.00002 $0.00408

Measured yesterday against content hash 5192682d07ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github.describe_pr_for_review 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/github.describe_pr_for_review/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal

  • Given a link to a GitHub PR, or a list of links, write a short description of each PR in a fixed format with the facts a reviewer needs before reading the diff
  • Score each PR for review complexity and for quality
  • Given a list, suggest the order in which to review the PRs

Workflow

Get the Input

  • Take the PR links from the arguments, e.g., https://github.com/<OWNER>/<REPO>/pull/<PR_NUM>
    • Arguments are one PR or a list, separated by spaces, commas, or newlines
    • Keep the order given and drop duplicates
  • If only <PR_NUM> or #<PR_NUM> is given, use the repo of the current Git client: 
    > gh repo view --json nameWithOwner -q .nameWithOwner
  • A list can mix repos: each full link carries its own <OWNER>/<REPO>
  • Apply all the steps below to every PR in the list
    • Process each PR on its own, do not mix data between PRs
    • If a PR cannot be fetched, write unknown for its fields, report the error, and continue with the next PR

Fetch the PR Metadata

  • Fetch all the fields in one call: 
    > gh pr view <PR_URL> --json number,title,url,author,headRefName,baseRefName,headRepository,isDraft,mergeable,reviewDecision,additions,deletions,changedFiles,body,closingIssuesReferences,statusCheckRollup,files
  • Fetch the diff and read it: 
    > gh pr diff <PR_URL>
    • If the diff is over ~2000 lines, read the file list and the key files only

Find the Issue

  • Pick the first match, in this order:
    • closingIssuesReferences from the metadata
    • The issue number next to a keyword in the PR body: Closes, Fixes, Resolves, Related to, Part of, or a full issue URL
      • Ignore other #<NUM> refs in the body, often sibling PRs in a stack
    • The Task<NUM> token in the head branch name
      • E.g., UmdTask640_Noesis_PR_S4_spec gives 640
    • If nothing matches, write none for both Issue and Issue link
  • Get the issue link from GitHub, do not build it by hand: 
    > gh issue view <ISSUE_NUM> --repo <OWNER>/<REPO> --json url,state

Read the full file on GitHub · 342 lines

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. yesterday First seen · 342 lines · 21 tokens per session scan A 5192682d07ef

Subscribe to this mod's changes

github.describe_pr_for_review is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 4,081 once invoked, about $0.0001 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 2026-11-06.

Code reviewGit and workflow
Related

github.describe_pr_for_review compared with skills from other repositories

github.describe_pr_for_review next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
github.describe_pr_for_reviewgpsaggese/helpersSkill158todayApache-2.0A21Claude Code
prYeachan-Heo/oh-my-claudecodeSkill41ktodayMITA47Claude Code
merge-batchdiegosouzapw/OmniRouteSkill83k6d agoMITA46Claude Code
otto-pr-review-loopomnigent-ai/omnigentSkill11ktodayApache-2.0A17Claude Code, Codex
engram-branch-prGentleman-Programming/engramSkill7.8ktodayMITA37Claude Code, Codex
github-contributordaymade/claude-code-skillsSkill1.5ktodayMITA105Claude Code, Codex
revdiffumputun/revdiffSkill9472d agoMITA250Claude Code