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Agent skill

Code Review

by secondsky in secondsky/claude-skills

Code review practices with technical rigor and verification gates.

MITAuto-check passedDevelopment

Install Code Review

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

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

GitHub CLI
$ gh skill install secondsky/claude-skills 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/secondsky/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code-review/skills/code-review .claude/skills/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
code-review
GitHub stars
227
Token cost
~1.3k tokens
SKILL.md length
490 words
Files
4 (incl. references)
Skills in repo
169
Repo updated
First seen
Licence
MIT

At a glance

Code review practices with technical rigor and verification gates.

  • Works in 3 steps: Receiving feedback - Technical… → Requesting reviews - Systematic review… → Verification gates - Evidence before any…
  • Receiving feedback
  • SKILL.md covers Overview, Core Principle, When to Use This Skill and Quick Decision Tree, plus 5 more sections
  • Calls bun and git

What it does

Code Review is an agent skill from secondsky/claude-skills. Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/code-review-reception.md`, `references/requesting-code-review.md` and `references/verification-before-completion.md`).

It sits in Development, covering Code review and Pull requests. The repository describes itself as: Production-ready skills for Claude Code CLI - Cloudflare, React, Tailwind v4, and AI integrations. The licence is MIT.

When your agent uses it

  • Receiving feedback
  • Requesting code-reviewer subagent reviews
  • Preventing false completion claims in pull requests

Example prompts

  • “/code-review”

Workflow steps

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

  1. Receiving feedback - Technical evaluation over performative agreement
  2. Requesting reviews - Systematic review via code-reviewer subagent
  3. Verification gates - Evidence before any completion claims

What it can do on your machine

Read from SKILL.md and the folder at commit 8837836. 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:

    • bun
    • 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

Code Review loads about 1.3k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 490 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

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 secondsky/claude-skills at commit 8837836, republished under its MIT licence (© secondsky). 490 words, ~1,309 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
code-review
description
Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.
license
MIT

Code Review

Guide proper code review practices emphasizing technical rigor, evidence-based claims, and verification over performative responses.

Overview

Code review requires three distinct practices:

  1. Receiving feedback - Technical evaluation over performative agreement
  2. Requesting reviews - Systematic review via code-reviewer subagent
  3. Verification gates - Evidence before any completion claims

Each practice has specific triggers and protocols detailed in reference files.

Core Principle

Technical correctness over social comfort. Verify before implementing. Ask before assuming. Evidence before claims.

When to Use This Skill

Receiving Feedback

Trigger when:

  • Receiving code review comments from any source
  • Feedback seems unclear or technically questionable
  • Multiple review items need prioritization
  • External reviewer lacks full context
  • Suggestion conflicts with existing decisions

Reference: references/code-review-reception.md

Requesting Review

Trigger when:

  • Completing tasks in subagent-driven development (after EACH task)
  • Finishing major features or refactors
  • Before merging to main branch
  • Stuck and need fresh perspective
  • After fixing complex bugs

Reference: references/requesting-code-review.md

Verification Gates

Trigger when:

  • About to claim tests pass, build succeeds, or work is complete
  • Before committing, pushing, or creating PRs
  • Moving to next task
  • Any statement suggesting success/completion
  • Expressing satisfaction with work

Reference: references/verification-before-completion.md

Quick Decision Tree

SITUATION?
│
├─ Received feedback
│  ├─ Unclear items? → STOP, ask for clarification first
│  ├─ From human partner? → Understand, then implement
│  └─ From external reviewer? → Verify technically before implementing
│
├─ Completed work
│  ├─ Major feature/task? → Request code-reviewer subagent review
│  └─ Before merge? → Request code-reviewer subagent review
│
└─ About to claim status
   ├─ Have fresh verification? → State claim WITH evidence
   └─ No fresh verification? → RUN verification command first

Receiving Feedback Protocol

Response Pattern

READ → UNDERSTAND → VERIFY → EVALUATE → RESPOND → IMPLEMENT

Key Rules
  • ❌ No performative agreement: "You're absolutely right!", "Great point!", "Thanks for [anything]"
  • ❌ No implementation before verification
  • ✅ Restate requirement, ask questions, push back with technical reasoning, or just start working
  • ✅ If unclear: STOP and ask for clarification on ALL unclear items first
  • ✅ YAGNI check: grep for usage before implementing suggested "proper" features
Source Handling
  • Human partner: Trusted - implement after understanding, no performative agreement
  • External reviewers: Verify technically correct, check for breakage, push back if wrong

Full protocol: references/code-review-reception.md

Requesting Review Protocol

When to Request
  • After each task in subagent-driven development
  • After major feature completion
  • Before merge to main
Show full SKILL.md (196 more words)Show less
Process
  1. Get git SHAs: BASE_SHA=$(git rev-parse HEAD~1) and HEAD_SHA=$(git rev-parse HEAD)
  2. Dispatch code-reviewer subagent via Task tool with: WHAT_WAS_IMPLEMENTED, PLAN_OR_REQUIREMENTS, BASE_SHA, HEAD_SHA, DESCRIPTION
  3. Act on feedback: Fix Critical immediately, Important before proceeding, note Minor for later

Full protocol: references/requesting-code-review.md

Verification Gates Protocol

The Iron Law

NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE

Gate Function

IDENTIFY command → RUN full command → READ output → VERIFY confirms claim → THEN claim

Skip any step = lying, not verifying

Requirements
  • Tests pass: Test output shows 0 failures
  • Build succeeds: Build command exit 0
  • Bug fixed: Test original symptom passes
  • Requirements met: Line-by-line checklist verified
Verification Commands
bash
# Tests (prefer bun)
bun test  # or: npm test

# Build
bun run build  # or: npm run build

# Lint
bun run lint  # or: npm run lint

# Type check
bun run typecheck  # or: bunx tsc --noEmit
Red Flags - STOP

Using "should"/"probably"/"seems to", expressing satisfaction before verification, committing without verification, trusting agent reports, ANY wording implying success without running verification

Full protocol: references/verification-before-completion.md

Integration with Workflows

  • Subagent-Driven: Review after EACH task, verify before moving to next
  • Pull Requests: Verify tests pass, request code-reviewer review before merge
  • General: Apply verification gates before any status claims, push back on invalid feedback

Bottom Line

  1. Technical rigor over social performance - No performative agreement
  2. Systematic review processes - Use code-reviewer subagent
  3. Evidence before claims - Verification gates always

Verify. Question. Then implement. Evidence. Then claim.

© secondsky, 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 3 other files (references) in plugins/code-review/skills/code-review of secondsky/claude-skills.

  • SKILL.md
  • references/code-review-reception.md
  • references/requesting-code-review.md
  • references/verification-before-completion.md

Open the folder on GitHubat commit 8837836

Compare with similar skills

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.

Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillsecondsky/claude-skills227—~1.3kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Code Review

What does Code Review do?

Code review practices with technical rigor and verification gates. Code Review is an agent skill from secondsky/claude-skills. Code review practices with technical rigor and verification gates.

When should I use Code Review?

Code Review fits situations like: receiving feedback; requesting code-reviewer subagent reviews; preventing false completion claims in pull requests.

How do I install Code Review in Claude Code?

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

How do I install Code Review in Codex?

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

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

What does Code Review need to run?

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

Does Code Review 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 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 Code Review use?

Code Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Code Review?

Skills that share tags, products or a category with Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars), WooCommerce Code Review (woocommerce/woocommerce, 11k stars) and Open Code Review CLI (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

secondsky (a GitHub user) maintains it in secondsky/claude-skills, which has 227 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 28, 2026.

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