analyze-pr

analyze-pr is a skill for Claude Code, Codex from magic3007/dotfiles. It costs 60 tokens per session (1,134 once invoked), scanned A, original, MIT.

A workflow for analyzing a GitHub or GitLab pull request by reading its description, fetching its code changes, and writing a detailed analysis. GitHub and GitLab are services for hosting and reviewing code.

In plain words
What is it for?
Use it when you have a pull-request link and need a summary of its purpose, files changed, metadata, discussion, and implementation.
Why use it?
It gathers the proposal and the actual changes together, making the review easier to understand in context.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when you have a pull-request link and need a summary of its purpose, files changed, metadata, discussion, and implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magic3007/dotfiles/analyze-pr
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 magic3007/dotfiles --skill analyze-pr
Clone the repo
git clone --depth 1 https://github.com/magic3007/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 analyze-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/magic3007/dotfiles/analyze-pr/github.svg)](https://agentmods.dev/skills/magic3007/dotfiles/analyze-pr)
Your own site
<a href="https://agentmods.dev/skills/magic3007/dotfiles/analyze-pr"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/analyze-pr/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 analyze-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/magic3007/dotfiles/analyze-pr"><img src="https://agentmods.dev/badge/skills/magic3007/dotfiles/analyze-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,134 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 36
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00060 $0.01134
Opus 5.5 $0.00024 $0.00454
Sonnet 5.5 $0.00012 $0.00227
Haiku 4.5 $0.00006 $0.00113

Measured 1mo ago against content hash 31d292d37b21, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze-pr 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 1mo 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.

skills/analyze-pr/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyze Pull Request

Given a PR URL, fetch the code changes and web description, then generate a comprehensive analysis document. The PR is guaranteed to belong to the current local repository.

Workflow

Step 1: Parse the PR URL

Extract from the URL:

  • Platform: GitHub or GitLab
  • Owner/Org, Repo, PR Number

Supported formats:

https://github.com/{owner}/{repo}/pull/{number}
https://gitlab.com/{owner}/{repo}/-/merge_requests/{number}

Step 2: Fetch PR Metadata

Use the WebFetch tool to read the PR page and extract:

  • PR title, description, author, labels, linked issues
  • Review comments and discussion highlights

For GitHub PRs, also fetch the API endpoint for structured data:

https://api.github.com/repos/{owner}/{repo}/pulls/{number}

This gives you base.ref (base branch name), head.ref, additions, deletions, changed_files, etc.

Step 3: Fetch the PR Branch Locally

# Record current branch for later restore
ORIGINAL_BRANCH=$(git rev-parse --abbrev-ref HEAD)

# GitHub
git fetch origin pull/{number}/head:pr-{number}

# GitLab
git fetch origin merge-requests/{number}/head:mr-{number}

Do NOT checkout the PR branch — use it as a ref for diff only, to avoid disrupting the working tree.

Step 4: Generate the Diff

Use base.ref from Step 2 as the base branch (do NOT hardcode main):

BASE_BRANCH={base.ref from step 2}

# Changed file list
git diff --name-only origin/$BASE_BRANCH...pr-{number}

# Stats summary
git diff --stat origin/$BASE_BRANCH...pr-{number}

# Full diff
git diff origin/$BASE_BRANCH...pr-{number}

# Commit history
git log --oneline origin/$BASE_BRANCH..pr-{number}

Step 5: Analyze the Changes

For each changed file, understand:

  1. What changed: additions, deletions, modifications
  2. Why it changed: infer from commit messages, PR description, and code context
  3. Impact: which components/modules are affected

Group changes by category:

  • New Features: new files, new functions, new APIs
  • Bug Fixes: error handling, logic corrections
  • Refactoring: code reorganization, naming changes
  • Configuration: build, CI/CD, dependency changes
  • Documentation: README, comments, docs
  • Tests: new or modified tests

Read the full file on GitHub · 180 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. 1mo ago First seen · 180 lines · 60 tokens per session scan A 31d292d37b21

Subscribe to this mod's changes

analyze-pr is a skill published in the GitHub repository magic3007/dotfiles (11 stars, last pushed 2d ago), licensed MIT. It adds 60 tokens to every session and 1,134 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 2026-08-31.

Related

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