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Agent skill

PR Review

by pytorch in pytorch/pytorch

Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility.

Custom licenceAuto-check passedDevelopment

Install PR Review

skills CLI
$ npx skills add pytorch/pytorch --skill pr-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pytorch/pytorch pr-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/pr-review .claude/skills/pr-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pr-review
GitHub stars
104k
Token cost
~4k tokens
SKILL.md length
1,928 words
Files
4
Skills in repo
17
Repo updated
First seen
Licence
Custom licence

At a glance

Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility.

  • Works in 5 steps: Understand Context → Deep Review → Check Backward Compatibility → …
  • Asked to review code changes
  • SKILL.md covers Usage Modes, Review Philosophy, Directory Review Guides… and Maintainer Comments, plus 4 more sections
  • Calls git and gh

What it does

PR Review is an agent skill from pytorch/pytorch. Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `bc-guidelines.md`, `ci-runner-naming.md` and `review-checklist.md`).

It sits in Development, covering Pull requests, Deep learning and Code review. It works with PyTorch and Git. The repository describes itself as: Tensors and Dynamic neural networks in Python with strong GPU acceleration.

When your agent uses it

  • Asked to review code changes
  • The user mentions review PR

Example prompts

  • “review PR”
  • “code review”
  • “check this PR”
  • “/pr-review”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Understand Context
  2. Deep Review
  3. Check Backward Compatibility
  4. Consolidate Findings
  5. Fact-Check

What it can do on your machine

Read from SKILL.md and the folder at commit 21cfde5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PR Review loads about 4k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,928 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,928 words (~3,960 tokens).

“Review PyTorch pull requests focusing on what CI cannot check: code quality, test coverage adequacy, security vulnerabilities, and backward compatibility.”

— opening of SKILL.md by pytorch, Custom licence
name
pr-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in .agents/skills/pr-review of pytorch/pytorch.

  • SKILL.md
  • bc-guidelines.md
  • ci-runner-naming.md
  • review-checklist.md

Open the folder on GitHubat commit 21cfde5

Compare with similar skills

PR Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

PR Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PR Review this skillpytorch/pytorch104k—~4kAutomated safety check: PassCustom licence
Open Code Review CLIalibaba/open-code-review45k—~3.1kAutomated safety check: PassApache-2.0
Understand Diff AnalysisEgonex-AI/Understand-Anything86k—~1.4kAutomated safety check: PassMIT
Code Reviewflutter/flutter179k—~1.4kAutomated safety check: PassBSD-3-Clause
PR Review State Fetchprisma/orm48k—~767Automated safety check: PassApache-2.0
Knowledge Graph PR Reviewtirth8205/code-review-graph32k—~452Automated safety check: PassMIT

Similar skills

  • Open Code Review CLI

    alibaba/open-code-review

    Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.

    45k GitHub stars~3.1k tokensUpdated today
    DevelopmentAuto-check passed

  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    86k GitHub stars~1.4k tokensUpdated today
    DevelopmentAuto-check passed

  • Code Review

    flutter/flutter

    Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback.

    179k GitHub stars~1.4k tokensUpdated today
    DevelopmentAuto-check passed

  • PR Review State Fetch

    prisma/orm

    Official

    Fetches a pull request's canonical review state as JSON, validates it, and renders markdown, a text summary and triage target files from it using bundled scripts.

    48k GitHub stars~767 tokensUpdated today
    DevelopmentAuto-check passed

  • Knowledge Graph PR Review

    tirth8205/code-review-graph

    Reviews a pull request or branch diff with a code knowledge graph and produces a structured review that includes blast-radius analysis.

    32k GitHub stars~452 tokensUpdated 2 days ago
    DevelopmentAuto-check passed

  • Review Triage Phase

    prisma/orm

    Official

    Runs the triage step of the review-framework loop: reads fetched PR review state, builds `review-actions.json`, validates it and renders `review-actions.md`.

    48k GitHub stars~995 tokensUpdated today
    DevelopmentAuto-check passed

More from pytorch/pytorch

All 17 skills in this repo

  • Add Uint Support

    pytorch/pytorch

    Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.

    104k GitHub starsUsed in 2 repos~2.3k tokens
    Auto-check passed

  • Docstring

    pytorch/pytorch

    Write docstrings for PyTorch functions and methods following PyTorch conventions.

    104k GitHub starsUsed in 2 repos~2.6k tokens
    Auto-check passed

  • Aoti Debug

    pytorch/pytorch

    Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.

    104k GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed

  • CI Metrics

    pytorch/pytorch

    Query PyTorch CI, GitHub Actions, HUD, Grafana, and infrastructure metrics.

    104k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Cuda Index Width

    pytorch/pytorch

    Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. An agent skill from pytorch/pytorch.

    104k GitHub stars~1.6k tokensUpdated today
    Auto-check passed

  • Document Public APIs

    pytorch/pytorch

    Document undocumented public APIs in PyTorch by removing functions from coverageignorefunctions and coverageignoreclasses in docs/source/conf.py, running Sphinx coverage, and adding the appropriate…

    104k GitHub stars~4.2k tokensUpdated today
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Works with

Categories

Questions about PR Review

What does PR Review do?

Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. PR Review is an agent skill from pytorch/pytorch. Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility.

When should I use PR Review?

PR Review fits situations like: asked to review code changes; the user mentions review PR.

How do I install PR Review in Claude Code?

Run `npx skills add pytorch/pytorch --skill pr-review -a claude-code`. Or copy the skill folder (.agents/skills/pr-review in pytorch/pytorch) into .claude/skills/pr-review in your project. Claude Code loads it when a task matches its description.

How do I install PR Review in Codex?

Run `npx skills add pytorch/pytorch --skill pr-review -a codex`. Or copy the skill folder (.agents/skills/pr-review in pytorch/pytorch) into .agents/skills/pr-review in your project. Codex loads it when a task matches its description.

Can I use PR Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pytorch/pytorch --skill pr-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pr-review, .gemini/skills/pr-review, .github/skills/pr-review and .opencode/skills/pr-review in your project.

What does PR Review need to run?

Going by SKILL.md and its folder, PR Review needs the command-line tools its instructions call (git and gh).

Does PR Review access the network?

SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is PR Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does PR Review use?

PR Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does PR Review use?

About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PR Review?

Skills that share tags, products or a category with PR Review: Open Code Review CLI (alibaba/open-code-review, 45k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars), Code Review (flutter/flutter, 179k stars) and PR Review State Fetch (prisma/orm, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PR Review?

pytorch (a GitHub organization) maintains it in pytorch/pytorch, which has 103,925 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.

Source: pytorch/pytorch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.