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Official agent skill

Review General

by pydantic in pydantic/monty

Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/…

OfficialMITAuto-check passedDevelopment

Install Review General

skills CLI
$ npx skills add pydantic/monty --skill review-general -a claude-code

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

GitHub CLI
$ gh skill install pydantic/monty review-general --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/pydantic/monty.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/review-general .claude/skills/review-general && 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
review-general
GitHub stars
8.6k
Token cost
~501 tokens
SKILL.md length
205 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/…

  • A general pre-merge review of a branch
  • Calls git

What it does

Review General is an agent skill from pydantic/monty, published by the product's own GitHub organization. Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/ updates. Use for a general pre-merge review of a branch or PR.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Python. The repository describes itself as: A minimal, secure Python interpreter written in Rust for use by AI. The licence is MIT.

When your agent uses it

  • A general pre-merge review of a branch

Example prompts

  • “/review-general”

What it can do on your machine

Read from SKILL.md and the folder at commit 5915273. 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

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

  • Network

    No URLs in SKILL.md. Its commands use git, 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

Review General loads about 501 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~501

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

The full file from pydantic/monty at commit 5915273, republished under its MIT licence (© pydantic). 205 words, ~501 tokens.

Download SKILL.mdSave it as .claude/skills/review-general/SKILL.md (or your agent's skills folder).
name
review-general
description
Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/ updates. Use for a general pre-merge review of a branch or PR.

General branch review

bash
git diff --stat origin/main...HEAD   # scope first
git diff origin/main...HEAD

Read the changed files in full — a hunk is rarely enough to judge correctness. Look for:

  • Bugs — logic errors, DropWithContext values not released on every exit path (the fix is defer_drop!/DropGuard, not more drop_with calls), borrow/aliasing mistakes, unhandled error paths.
  • CPython divergence — different results, exception types or messages, missing attributes. Check anything you're unsure of with python-playground.
  • Sandbox escapes — sandboxed code reaching the host filesystem, environment, network or subprocesses.
  • Resource-limit escapes — allocations not charged to the tracker (an unbounded or amplifying String build without StringBuilder), unbounded loops, recursion without a depth guard.
  • Performance — regressions the branch introduces, and improvements you spot.
  • Verbose comments — docstrings and comments should be concise as per CLAUDE.md.
  • Cleanups — duplication, misplaced logic, functions grown too complex.
  • ./limitations/ — a new divergence with no entry is a finding.
  • Docs parity — a user-visible change reflected in only one of README.md, docs/, limitations/ and the crate READMEs is a finding. CLAUDE.md "Documentation surfaces that must stay in sync" has the obligation table. For a full pass, delegate to the docs-parity-reviewer subagent.

Report

Concise, most severe first. Per finding: file:line, what's wrong, the concrete failure it causes. Don't pad with what the branch got right.

Report only, unless the user asks for fixes.

© pydantic, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/review-general of pydantic/monty.

Open the folder on GitHubat commit 5915273

Compare with similar skills

Review General 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.

Review General compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review General this skillpydantic/monty8.6k—~501Automated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Minimizing Ty Ecosystem Changesastral-sh/ruff50k—~4.6kAutomated safety check: PassMIT
Merge Dependabot PRsonyx-dot-app/onyx32k1 repos~2.2kAutomated safety check: PassMIT
Summarise Ecosystem Resultsastral-sh/ruff50k—~2.2kAutomated safety check: PassMIT
Senior Architect Toolkitmaslennikov-ig/claude-code-orchestrator-kit2608 repos~1.2kAutomated safety check: NotesCustom licence

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  • Review Usability

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Works with

Categories

Questions about Review General

What does Review General do?

Review the current branch against its merge base for bugs, CPython divergence, sandbox escapes, resource-limit escapes, performance regressions, verbose comments and missing ./limitations/ or docs/…. Review General is an agent skill from pydantic/monty, published by the product's own GitHub organization./limitations/ or docs/ updates.

When should I use Review General?

Review General fits situations like: A general pre-merge review of a branch.

How do I install Review General in Claude Code?

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

How do I install Review General in Codex?

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

Can I use Review General 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 pydantic/monty --skill review-general -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-general, .gemini/skills/review-general, .github/skills/review-general and .opencode/skills/review-general in your project.

What does Review General need to run?

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

Does Review General access the network?

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

Is Review General 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 Review General use?

Review General is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review General use?

About 501 tokens (SKILL.md is roughly 2k 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 Review General?

Skills that share tags, products or a category with Review General: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Minimizing Ty Ecosystem Changes (astral-sh/ruff, 50k stars), Merge Dependabot PRs (onyx-dot-app/onyx, 32k stars) and Summarise Ecosystem Results (astral-sh/ruff, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review General?

pydantic (a GitHub organization, an official publisher) maintains it in pydantic/monty, which has 8,607 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 9, 2026.

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