Agent skill

Review

by dzhng in dzhng/skills

Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next.

MITAuto-check passedDevelopment

Install Review

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

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

GitHub CLI
$ gh skill install dzhng/skills 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/dzhng/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/engineering/review .claude/skills/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
review
GitHub stars
1k
Token cost
~470 tokens
SKILL.md length
223 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next.

  • Works in 5 steps: Scope. Fix the diff under review and… → Shape — refactor-clean. Run it first,… → Diff — code-review. Audit the settled… → …
  • Asks for a final review
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review is an agent skill from dzhng/skills. Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next. Use after implementing a slice or feature and before calling it done or committing; when the user asks for a final review, a cleanup-and-document pass, or to "review everything." For a diff-only audit, reach code-review directly.

Its SKILL.md is about 470 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, covering Code review and Refactoring. The repository describes itself as: Reusable AI agent skills for software factories: explore ideas, write specs, implement, review, and run autonomous research. Works with Claude Code, Codex, and other… The licence is MIT.

When your agent uses it

  • Asks for a final review
  • A cleanup-and-document pass
  • Review everything. For a diff-only audit
  • Reach code-review directly

Example prompts

  • “review everything.”
  • “/review”

Workflow steps

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

  1. Scope. Fix the diff under review and confirm it's substantive; skip the
  2. Shape — refactor-clean. Run it first, while
  3. Diff — code-review. Audit the settled shape. A
  4. Docs — write-docs. Update the docs this change
  5. Report. One verdict across all three passes — what each found, what you

What it can do on your machine

Read from SKILL.md and the folder at commit d513228. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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 loads about 470 tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 223 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~470

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 dzhng/skills at commit d513228, republished under its MIT licence (© dzhng). 223 words, ~470 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder).
name
review
description
Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next. Use after implementing a slice or feature and before calling it done or committing; when the user asks for a final review, a cleanup-and-document pass, or to "review everything." For a diff-only audit, reach code-review directly.

Review

A finished change earns "done" only after three lenses pass: its shape, its diff, and its docs. Each has a specialist skill. This skill owns only what they can't — the order they run in, the loop between them, and one verdict.

Workflow

  1. Scope. Fix the diff under review and confirm it's substantive; skip the whole pass for trivial edits.
  2. Shape — refactor-clean. Run it first, while restructuring is cheap and before you audit a diff that's about to move.
  3. Diff — code-review. Audit the settled shape. A finding that forces a structural change sends you back to step 2, not onward.
  4. Docs — write-docs. Update the docs this change touched. Then trace the link chain from the root README down to each one: every link on the path still resolves, and the hub-to-leaf flow still reads in order.
  5. Report. One verdict across all three passes — what each found, what you changed, what you left and why. Done only when every pass is clean or resolved.

Rules

  • When you enter a pass, read its skill — the rules live there, not here.
  • Order governs presentation, not disclosure: surface a finding the moment you hit it, even when a later pass owns it.
  • Loop, don't cascade: a later fix that reopens an earlier pass returns there. Stop when a full pass adds nothing.

© dzhng, 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 skills/engineering/review of dzhng/skills.

Open the folder on GitHubat commit d513228

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 dzhng/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skilldzhng/skills1k—~470Automated safety check: PassMIT
Dignified Python Standardsdocling-project/docling69k—~1.5kAutomated safety check: PassApache-2.0
Clean Code GuardamElnagdy/guard-skills1.3k2 repos~4.3kAutomated safety check: PassMIT
Maintainable Code for iPolloWorkDevin-AXIS/iPolloWork6.8k—~2.7kAutomated safety check: PassCustom licence
Over-Engineering ReviewDietrichGebert/ponytail160k—~1.3kAutomated safety check: PassMIT
Cyclomatic Complexitysaurabhkumar8112/cyclomatic-complexity-skill405—~761Automated safety check: PassApache-2.0

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Categories

Questions about Review

What does Review do?

Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next. Review is an agent skill from dzhng/skills. Closeout pass on a finished substantive change — sequence refactor-clean (shape), code-review (diff), and write-docs (docs) so all three run, in the order where each feeds the next.

When should I use Review?

Review fits situations like: asks for a final review; A cleanup-and-document pass; review everything. For a diff-only audit; reach code-review directly.

How do I install Review in Claude Code?

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

How do I install Review in Codex?

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

Can I use 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 dzhng/skills --skill 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/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Review is instructions for the agent only.

Does Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is 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 Review use?

Review 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 use?

About 470 tokens (SKILL.md is roughly 1.9k 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?

Skills that share tags, products or a category with Review: Dignified Python Standards (docling-project/docling, 69k stars), Clean Code Guard (amElnagdy/guard-skills, 1.3k stars), Maintainable Code for iPolloWork (Devin-AXIS/iPolloWork, 6.8k stars) and Over-Engineering Review (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

dzhng (a GitHub user) maintains it in dzhng/skills, which has 1,022 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 5, 2026.

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