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Agent skill

Review It

by smallnest in smallnest/goal-workflow

Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.

MITAuto-check passedDevelopment

Install Review It

skills CLI
$ npx skills add smallnest/goal-workflow --skill review-it -a claude-code

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

GitHub CLI
$ gh skill install smallnest/goal-workflow review-it --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/smallnest/goal-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-it .claude/skills/review-it && 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-it
GitHub stars
290
Token cost
~1.4k tokens
SKILL.md length
588 words
Files
2 (incl. scripts)
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.

  • Works in 8 steps: 隐藏副作用 (Hidden Side Effects) —… → 破坏兼容性 (Breaking Compatibility) — 是否改变了… → 边界情况 (Edge Cases) —… → …
  • Tasks that involve Code review
  • SKILL.md covers Supported Agents, Contract, Review Focus and Pick Target, plus 4 more sections
  • Calls git, codex and gh

What it does

Review It is an agent skill from smallnest/goal-workflow. Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts.

It sits in Development, covering Code review. It works with DeepSeek. The repository describes itself as: AI-driven development workflow with /prd, /goal, /review-it and /ship-it skills. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/review-it”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 隐藏副作用 (Hidden Side Effects) — 变更是否在非显而易见的地方产生级联影响？是否修改了共享状态、全局变量、或外部依赖的行为？
  2. 破坏兼容性 (Breaking Compatibility) — 是否改变了 API 签名、数据结构、配置文件格式、或命令行接口？现有调用方是否会受影响？
  3. 边界情况 (Edge Cases) — null/空值/空集合、极大/极小值、并发/竞态条件、异常路径是否被正确处理？
  4. 性能风险 (Performance Risks) — 是否引入了不必要的循环嵌套、N+1 查询、大对象分配、阻塞 I/O、或锁竞争？
  5. 安全风险 (Security Risks) — 是否存在注入、越权、敏感信息泄露、不安全的反序列化、或依赖版本漏洞？
  6. 命名误导 (Naming Misleading) — 变量/函数/类型名称是否与实际行为不一致？是否存在名不副实或语义模糊的命名？
  7. 测试不足 (Insufficient Testing) — 关键路径、边界条件、错误处理是否缺少测试覆盖？现有测试是否真正验证了期望行为？
  8. 未来维护成本 (Future Maintenance Cost) — 是否引入了不必要的抽象、重复代码、隐式耦合、或难以追踪的控制流？后来者是否容易理解和修改？

What it can do on your machine

Read from SKILL.md and the folder at commit b06ab3c. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • git
    • codex
    • 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

Review It loads about 1.4k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from smallnest/goal-workflow at commit b06ab3c, republished under its MIT licence (© smallnest). 588 words, ~1,385 tokens.

Download SKILL.mdSave it as .claude/skills/review-it/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
review-it
description
Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.

CC Review

Run automated code review as a closeout check before committing or shipping. Works across multiple AI coding agents.

Use when:

  • user asks for code review / review-it / autoreview
  • after non-trivial code edits, before final/commit/ship
  • reviewing a local branch or PR branch after fixes

Supported Agents

AgentReview CommandNotes
Claude Code/reviewBuilt-in, works on uncommitted changes or diff
Codexcodex reviewPass diff file or let it auto-detect
OpenCode/reviewSame as Claude Code
DeepSeek TUI/review or manual diff reviewPass diff content for analysis
Antigravity CLI/code-reviewBuilt-in slash command, auto-detects diff

Contract

  • Treat review output as advisory. Never blindly apply it.
  • Verify every finding by reading the real code path and adjacent files.
  • Read dependency docs/source/types when the finding depends on external behavior.
  • Reject unrealistic edge cases, speculative risks, broad rewrites, and fixes that over-complicate the codebase.
  • Prefer small fixes at the right ownership boundary; no refactor unless it clearly improves the bug class.
  • Keep going until review returns no accepted/actionable findings.
  • If a review-triggered fix changes code, rerun focused tests and rerun review.
  • Stop as soon as the review comes back clean with no actionable findings.
  • If rejecting a finding as intentional/not worth fixing, add a brief inline code comment only when it explains a real invariant or ownership decision that future reviewers should know.
  • Do not push just to review. Push only when the user requested push/ship/PR update.

Review Focus

请 review 当前 diff。不要只看语法和明显 bug，请重点检查以下维度，最后按严重程度排序：

  1. 隐藏副作用 (Hidden Side Effects) — 变更是否在非显而易见的地方产生级联影响？是否修改了共享状态、全局变量、或外部依赖的行为？
  2. 破坏兼容性 (Breaking Compatibility) — 是否改变了 API 签名、数据结构、配置文件格式、或命令行接口？现有调用方是否会受影响？
  3. 边界情况 (Edge Cases) — null/空值/空集合、极大/极小值、并发/竞态条件、异常路径是否被正确处理？
  4. 性能风险 (Performance Risks) — 是否引入了不必要的循环嵌套、N+1 查询、大对象分配、阻塞 I/O、或锁竞争？
  5. 安全风险 (Security Risks) — 是否存在注入、越权、敏感信息泄露、不安全的反序列化、或依赖版本漏洞？
  6. 命名误导 (Naming Misleading) — 变量/函数/类型名称是否与实际行为不一致？是否存在名不副实或语义模糊的命名？
  7. 测试不足 (Insufficient Testing) — 关键路径、边界条件、错误处理是否缺少测试覆盖？现有测试是否真正验证了期望行为？
  8. 未来维护成本 (Future Maintenance Cost) — 是否引入了不必要的抽象、重复代码、隐式耦合、或难以追踪的控制流？后来者是否容易理解和修改？

Pick Target

Claude Code / OpenCode / DeepSeek TUI

Dirty local work (default — /review works on uncommitted changes):

/review

Branch/PR work — review all changes against base:

First generate a diff, then review it:

bash
git diff origin/main...HEAD > /tmp/review-it.diff

Then review the diff file with a focused prompt:

/review the changes in /tmp/review-it.diff against origin/main

If an open PR exists, use its actual base:

bash
base=$(gh pr view --json baseRefName --jq .baseRefName)
git diff "origin/$base"...HEAD > /tmp/review-it.diff
Antigravity CLI (agy)

Dirty local work:

/code-review

Branch/PR work — review all changes against base:

bash
git diff origin/main...HEAD > /tmp/review-it.diff

Then pass the diff to the review command:

/code-review the changes in /tmp/review-it.diff against origin/main

If an open PR exists, use its actual base:

bash
base=$(gh pr view --json baseRefName --jq .baseRefName)
git diff "origin/$base"...HEAD > /tmp/review-it.diff
Show full SKILL.md (222 more words)Show less
Codex
bash
# Review uncommitted changes
codex review

# Review branch diff
git diff origin/main...HEAD > /tmp/review-it.diff
codex review /tmp/review-it.diff

Parallel Closeout

Format first if formatting can change line locations. Then it's OK to run tests and review in parallel:

bash
scripts/review-it --parallel-tests "<focused test command>"

Tradeoff: tests may force code changes that stale the review. If tests or review lead to code edits, rerun the affected tests and rerun review until no accepted/actionable findings remain.

Uncommitted vs Branch Review

Choose the right mode:

  • Uncommitted changes (staged/unstaged): use /review directly (Antigravity: /code-review, Codex: codex review)
  • Committed, not pushed: use git diff origin/main...HEAD + review
  • Pushed/PR: same as committed, against the PR base
  • Clean working tree: skip review if there's truly nothing to review

Helper

Bundled helper script for parallel test + review orchestration:

bash
~/.claude/skills/review-it/scripts/review-it --help

The helper:

  • Detects which agent is running (Claude Code, Antigravity CLI, Codex) via --agent auto
  • Detects whether to use uncommitted review or branch diff review
  • For branch mode: generates diff against origin/main (or PR base), then triggers review
  • Supports --parallel-tests for concurrent test + review execution
  • Supports --dry-run for checking what command would be used
  • Prints review-it clean: no accepted/actionable findings reported when review is clean

Final Report

Include:

  • review target (uncommitted / branch / PR base)
  • tests/proof run
  • findings accepted/rejected, briefly why
  • the clean review result, or why a remaining finding was consciously rejected

Do not run another review solely to improve the final report wording. If review exited clean with no actionable findings, report that as clean.

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

Files

SKILL.md and 1 other file (scripts) in skills/review-it of smallnest/goal-workflow.

  • SKILL.md
  • scripts/review-it

Open the folder on GitHubat commit b06ab3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in smallnest/goal-workflow, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Review It 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 It compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review It this skillsmallnest/goal-workflow290—~1.4kAutomated safety check: PassMIT
Deep Reviewdyad-sh/dyad22k—~1.4kAutomated safety check: PassCustom licence
Gated Module ImplementationAlephantAI/AIephant-AI-Agent-Gateway114—~2.7kAutomated safety check: PassGPL-3.0
Grix Code Reviewaskie/grix153—~799Automated safety check: PassCustom licence
Dsh Code ReviewZhou-Yujing114514/deepseek-harness-linux119—~2.1kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Review It

What does Review It do?

Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests. Review It is an agent skill from smallnest/goal-workflow. Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.

When should I use Review It?

Review It fits situations like: tasks that involve Code review.

How do I install Review It in Claude Code?

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

How do I install Review It in Codex?

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

Can I use Review It 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 smallnest/goal-workflow --skill review-it -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-it, .gemini/skills/review-it, .github/skills/review-it and .opencode/skills/review-it in your project.

What does Review It need to run?

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

Does Review It 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 Review It 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Review It use?

Review It 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 It use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 It?

Skills that share tags, products or a category with Review It: Deep Review (dyad-sh/dyad, 22k stars), Gated Module Implementation (AlephantAI/AIephant-AI-Agent-Gateway, 114 stars), Grix Code Review (askie/grix, 153 stars) and Dsh Code Review (Zhou-Yujing114514/deepseek-harness-linux, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review It?

smallnest (a GitHub user) maintains it in smallnest/goal-workflow, which has 290 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 13, 2026.

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