Agent skill

Structured Code Review

by rohitg00 in rohitg00/skillkit

Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance.

Apache-2.0Auto-check passedDevelopment

Install Structured Code Review

skills CLI
$ npx skills add rohitg00/skillkit --skill structured-code-review -a claude-code

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

GitHub CLI
$ gh skill install rohitg00/skillkit structured-code-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/rohitg00/skillkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/src/methodology/packs/collaboration/structured-review .claude/skills/structured-code-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
structured-code-review
GitHub stars
1.5k
Token cost
~1.3k tokens
SKILL.md length
404 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance.

  • Works in 5 steps: Requirements Compliance → Correctness → Code Quality → …
  • The user asks for code review
  • SKILL.md covers Core Principle, Review Stages, Writing Good Feedback and Review Checklist Summary, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Structured Code Review is an agent skill from rohitg00/skillkit. Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes", "pull request…

Its SKILL.md is about 1.3k 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 Pull requests, Code review and Code quality. The repository describes itself as: Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more. The licence is Apache-2.0.

When your agent uses it

  • The user asks for code review
  • Pull request review
  • Wants their code checked for bugs
  • Vulnerabilities — triggered by phrases like review my code

Example prompts

  • “review my code”
  • “check this PR”
  • “review my changes”
  • “/structured-code-review”

Workflow steps

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

  1. Requirements Compliance
  2. Correctness
  3. Code Quality
  4. Testing
  5. Security & Performance

What it can do on your machine

Read from SKILL.md and the folder at commit d2e5c34. 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 (its code samples are markdown).

    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

Structured Code Review loads about 1.3k tokens when it runs. Until then it costs about 141 tokens; SKILL.md has 404 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 rohitg00/skillkit at commit d2e5c34, republished under its Apache-2.0 licence (© rohitg00). 404 words, ~1,257 tokens.

Download SKILL.mdSave it as .claude/skills/structured-code-review/SKILL.md (or your agent's skills folder).
name
structured-code-review
description
Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes", "pull request review", or "code feedback".
version
1.0.0
triggers
code review, review this, feedback on code, PR review, review my changes
tags
collaboration, code-review, quality, feedback
difficulty
intermediate
estimatedTime
15
relatedSkills
collaboration/parallel-investigation, planning/verification-gates

Structured Code Review

You are performing a structured, multi-stage code review. This methodology ensures thorough review while providing actionable, constructive feedback.

Core Principle

Review in stages. Each stage has a specific focus. Don't mix concerns.

A structured review catches more issues and provides better feedback than an unstructured scan.

Review Stages

Stage 1: Requirements Compliance

First, verify the code meets its requirements.

Checklist:

  • Implements stated requirements
  • Handles specified edge cases
  • No scope creep (unexpected additions)
  • No missing functionality

Feedback at this stage:

  • "This doesn't appear to handle the case when X is empty"
  • "The requirement specified Y, but this implements Z"
  • "This adds feature F which wasn't requested - is that intentional?"
Stage 2: Correctness

Next, verify the code works correctly.

Checklist:

  • Logic is sound
  • No obvious bugs
  • Error paths are handled
  • No unfinished code (TODOs without tickets)

Feedback at this stage:

  • "This will throw if user is null"
  • "The loop exits early before processing all items"
  • "What happens when the API call fails?"
Stage 3: Code Quality

Then, evaluate code quality and maintainability.

Checklist:

  • Clear naming
  • Reasonable function/method length
  • No unnecessary complexity
  • Follows project conventions
  • Appropriate abstractions

Feedback at this stage:

  • "Could you rename data to userProfile for clarity?"
  • "This function is doing three things - consider splitting"
  • "We use camelCase for variables in this project"
Show full SKILL.md (189 more words)Show less
Stage 4: Testing

Evaluate test coverage and quality.

Checklist:

  • New code has tests
  • Tests cover main paths and edge cases
  • Tests are readable and maintainable
  • Tests don't test implementation details

Feedback at this stage:

  • "Please add a test for the error case"
  • "This test will break if we change the implementation"
  • "Consider using a parameterized test for these cases"
Stage 5: Security & Performance

Finally, check for security and performance concerns.

Checklist:

  • No SQL injection, XSS, etc.
  • Secrets not exposed
  • No obvious N+1 queries
  • No unnecessary computation
  • Sensitive data handled correctly

Feedback at this stage:

  • "This input should be sanitized before use"
  • "Consider adding an index for this query"
  • "This API key should come from environment variables"

Writing Good Feedback

Feedback Levels
LevelWhen to UseExample
BlockerMust fix before merge"Security: This allows SQL injection"
MajorShould fix, but not critical"This will fail for empty arrays"
MinorSuggestion, nice to have"Consider renaming for clarity"
NitTrivial, stylistic"Extra blank line here"
Constructive Feedback Template
[Level] [Category]: [Issue]

**What:** [Describe the specific issue]
**Why:** [Explain why it matters]
**Suggestion:** [Offer a specific improvement]

Example:

[Major] Correctness: Null reference possible

**What:** `user.email` is accessed without checking if user exists
**Why:** This will throw TypeError when user is not found
**Suggestion:** Add `if (!user) return null;` before accessing properties

Review Checklist Summary

markdown
## Review: [PR Title]

### Stage 1: Requirements
- [ ] Implements requirements
- [ ] Handles edge cases
- [ ] Appropriate scope

### Stage 2: Correctness
- [ ] Logic is sound
- [ ] No bugs
- [ ] Errors handled

### Stage 3: Quality
- [ ] Readable
- [ ] Follows conventions
- [ ] Maintainable

### Stage 4: Testing
- [ ] Has tests
- [ ] Tests are good

### Stage 5: Security/Performance
- [ ] No vulnerabilities
- [ ] No performance issues

### Verdict: [ ] Approve [ ] Request Changes [ ] Comment

Integration with Other Skills

  • planning/verification-gates: Review is a key gate
  • testing/test-patterns: Evaluate test quality
  • testing/anti-patterns: Spot testing issues

© rohitg00, Apache-2.0. 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 packages/core/src/methodology/packs/collaboration/structured-review of rohitg00/skillkit.

Open the folder on GitHubat commit d2e5c34

Compare with similar skills

Structured Code 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.

Structured Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Structured Code Review this skillrohitg00/skillkit1.5k—~1.3kAutomated safety check: PassApache-2.0
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Code Review Skillawesome-skills/code-review-skill2.1k—~2.8kAutomated safety check: NotesMIT
Code Reviewerjewbetcha/opentrace1162 repos~1.1kAutomated safety check: NotesMIT
Code Review SkillRain-kl/OpenFlare288—~2.3kAutomated safety check: NotesMIT
Code ReviewerYikai-Liao/symusic1891 repos~1.3kAutomated safety check: PassMIT

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Categories

Questions about Structured Code Review

What does Structured Code Review do?

Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Structured Code Review is an agent skill from rohitg00/skillkit. Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance.

When should I use Structured Code Review?

Structured Code Review fits situations like: the user asks for code review; pull request review; wants their code checked for bugs; vulnerabilities — triggered by phrases like review my code.

How do I install Structured Code Review in Claude Code?

Run `npx skills add rohitg00/skillkit --skill structured-code-review -a claude-code`. Or copy the skill folder (packages/core/src/methodology/packs/collaboration/structured-review in rohitg00/skillkit) into .claude/skills/structured-code-review in your project. Claude Code loads it when a task matches its description.

How do I install Structured Code Review in Codex?

Run `npx skills add rohitg00/skillkit --skill structured-code-review -a codex`. Or copy the skill folder (packages/core/src/methodology/packs/collaboration/structured-review in rohitg00/skillkit) into .agents/skills/structured-code-review in your project. Codex loads it when a task matches its description.

Can I use Structured Code 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 rohitg00/skillkit --skill structured-code-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/structured-code-review, .gemini/skills/structured-code-review, .github/skills/structured-code-review and .opencode/skills/structured-code-review in your project.

What does Structured Code Review need to run?

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

Does Structured Code 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 Structured Code 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 Structured Code Review use?

Structured Code Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Structured Code Review use?

About 1.3k tokens (SKILL.md is roughly 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 Structured Code Review?

Skills that share tags, products or a category with Structured Code Review: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Code Review Skill (awesome-skills/code-review-skill, 2.1k stars), Code Reviewer (jewbetcha/opentrace, 116 stars) and Code Review Skill (Rain-kl/OpenFlare, 288 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Structured Code Review?

rohitg00 (a GitHub user) maintains it in rohitg00/skillkit, which has 1,546 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on June 2, 2026.

Source: rohitg00/skillkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.