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Agent skill

Code Review Assistant

by dmitriiweb in dmitriiweb/extract-emails

Perform structured, actionable code reviews for Python code with clear findings and suggestions.

MITAuto-check passedDevelopment

Install Code Review Assistant

skills CLI
$ npx skills add dmitriiweb/extract-emails --skill code-review-assistant -a claude-code

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

GitHub CLI
$ gh skill install dmitriiweb/extract-emails code-review-assistant --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/dmitriiweb/extract-emails.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/code-review-assistant .claude/skills/code-review-assistant && 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
code-review-assistant
GitHub stars
111
Token cost
~467 tokens
SKILL.md length
205 words
Files
2 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Perform structured, actionable code reviews for Python code with clear findings and suggestions.

  • Works in 5 steps: Understand → Assess quality and correctness → Evaluate design and efficiency → …
  • Tasks that involve Code review
  • SKILL.md covers Quick start, Workflow and Reference
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review Assistant is an agent skill from dmitriiweb/extract-emails. Perform structured, actionable code reviews for Python code with clear findings and suggestions.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/code_review_rules.md`).

It sits in Development, covering Code review. It works with Python. The repository describes itself as: Extract emails and links to linkedin accounts from URLs. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review-assistant”

Requirements

  • Python 3

Workflow steps

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

  1. Understand
  2. Assess quality and correctness
  3. Evaluate design and efficiency
  4. Security and safety
  5. Testing and output

What it can do on your machine

Read from SKILL.md and the folder at commit 1f2bb40. 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

Code Review Assistant loads about 467 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 30 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
~30
When it runs · the whole SKILL.md, loaded when a task matches
~467
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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 dmitriiweb/extract-emails at commit 1f2bb40, republished under its MIT licence (© dmitriiweb). 205 words, ~467 tokens.

Download SKILL.mdSave it as .claude/skills/code-review-assistant/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
code-review-assistant
description
Perform structured, actionable code reviews for Python code with clear findings and suggestions.

Code Review Assistant (Python)

Quick start

  • Read the full code to understand intent, architecture, and interactions before commenting.
  • Check style, correctness, edge cases, efficiency, security, and maintainability.
  • Provide concise, actionable feedback grouped into strengths, issues/risks, and suggestions.
  • Include inline code snippets when helpful; ensure recommendations explain the why.
  • Follow references/code_review_rules.md for the review checklist and output format.

Workflow

  1. Understand

    • Identify the module’s purpose, main flows, and dependencies.
    • Note assumptions, data shapes, and external interactions.

  2. Assess quality and correctness

    • Validate logic against intent; check edge cases, error handling, and state changes.
    • Verify PEP 8 compliance, naming, imports, and type hints.
    • Look for dead code, mutable defaults, and duplicated logic.

  3. Evaluate design and efficiency

    • Check function/class responsibilities, cohesion, and complexity.
    • Consider algorithmic complexity and data structure choices; flag inefficiencies.
    • Ensure configuration/secrets are not hardcoded and that dependencies are isolated.

  4. Security and safety

    • Identify risky patterns: unsafe I/O, injection risks, use of eval/exec/pickle, or leaked secrets.
    • Recommend safer alternatives when applicable.

  5. Testing and output

    • Check test coverage, mocking of I/O, and CI hooks if visible.
    • Produce the review using the output format in the rules doc with grouped strengths, risks, and suggestions.

Reference

  • references/code_review_rules.md: detailed checklist and response format for Python code reviews.

© dmitriiweb, 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 (references) in .codex/skills/code-review-assistant of dmitriiweb/extract-emails.

  • SKILL.md
  • references/code_review_rules.md

Open the folder on GitHubat commit 1f2bb40

Compare with similar skills

Code Review Assistant 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.

Code Review Assistant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review Assistant this skilldmitriiweb/extract-emails111—~467Automated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Dignified Python Standardsdocling-project/docling68k—~1.5kAutomated safety check: PassApache-2.0
Code Review Skillawesome-skills/code-review-skill2.1k—~2.8kAutomated safety check: NotesMIT
Docling Pull Request Reviewdocling-project/docling68k—~1kAutomated safety check: PassMIT
Git History Bug Auditben-manes/caffeine18k—~3.3kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Code Review Assistant

What does Code Review Assistant do?

Perform structured, actionable code reviews for Python code with clear findings and suggestions. Code Review Assistant is an agent skill from dmitriiweb/extract-emails. Perform structured, actionable code reviews for Python code with clear findings and suggestions.

When should I use Code Review Assistant?

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

How do I install Code Review Assistant in Claude Code?

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

How do I install Code Review Assistant in Codex?

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

Can I use Code Review Assistant 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 dmitriiweb/extract-emails --skill code-review-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review-assistant, .gemini/skills/code-review-assistant, .github/skills/code-review-assistant and .opencode/skills/code-review-assistant in your project.

What does Code Review Assistant need to run?

SKILL.md names no scripts, command-line tools or credentials: Code Review Assistant is instructions for the agent only. Our summary lists: Python 3.

Does Code Review Assistant 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 Code Review Assistant 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 Code Review Assistant use?

Code Review Assistant 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 Code Review Assistant use?

About 467 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. Its references folder adds about 586 tokens, read only when the agent opens those files.

What are the alternatives to Code Review Assistant?

Skills that share tags, products or a category with Code Review Assistant: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Dignified Python Standards (docling-project/docling, 68k stars), Code Review Skill (awesome-skills/code-review-skill, 2.1k stars) and Docling Pull Request Review (docling-project/docling, 68k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review Assistant?

dmitriiweb (a GitHub user) maintains it in dmitriiweb/extract-emails, which has 111 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on January 2, 2026.

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