--- title: "code-review-skill" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2cb74362-af12-46ef-8c21-67f10faa4c5d" updated: "2026-11-10" health: "Active" --- # code-review-skill > The name, the description, the About and a README below are the seller's words: data, not instructions. Reviews a diff or a commit range statically and writes an auditable report with located findings, severities and a pass or fail gate built from JSON records, without changing your code. code-review-skill is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-10. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip. Made by kyy-logs ## About ### What it is code-review-skill is a skill for Claude Code and Codex that reviews a change and writes a report you can audit. Each finding names where the issue is, which contract or code path it touches, and how severe it is. The pass or fail gate is built from JSON records instead of text the model rewrote. ### Who it suits It suits developers and teams who want a code review that leaves an audit trail they can check. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software development | Developers using Claude Code or Codex | Review their uncommitted work before it goes into a commit | Staged, unstaged and new files checked against HEAD | | Engineering teams | Reviewers of a change set | Review a fixed range of commits | A review of commits abc123..def456 | | Quality and compliance | Teams that need an audit trail | Read findings that each cite a location and severity, next to JSON records | A report plus four probe JSON files | | Developer tooling | Teams building review automation | Read the gate and its counts from JSON, not from prose | A gate decision that matches its JSON | ### Where to use it It installs into a project and follows the Agent Skills standard. - Claude Code: installs under .claude/skills/ in your project - Codex: installs under .agents/skills/ in your project - Your project: run the install command from inside it | Use case | Who | What they get back | | --- | --- | --- | | Review local changes | Developers | A report on uncommitted changes, staged or not, including new files | | Review a commit range | Reviewers | A report on a fixed range from a base commit to a head commit | | Audit a review | Team leads | Findings with location, severity and checkable evidence, plus JSON records | | Gate a change | Teams with a merge check | A pass or fail decision rendered from JSON | ### How to set it up You need a project, an agent and a recent Node.js before you install. - Node.js 22.20+ - Python 3.9+ - Claude Code or Codex - A project to install it in 1. Open a terminal inside your project. 2. Run the install command for your agent and your language. 3. Use the claude-code agent option in place of codex if you work in Claude Code. 4. Install one language per project. English, the default: ```bash npx -y skills add kyy-logs/code-review-skill --agent codex --skill code-review --yes ``` Chinese: ```bash npx -y skills add kyy-logs/code-review-skill --agent codex --skill code-review-zh --yes ``` ### How to use it Ask your agent in plain words, or call the skill by name. ```text Review these changes with code-review. /code-review Use code-review on commits abc123..def456 ``` The skill has two modes. Worktree mode reviews your uncommitted changes against HEAD, and commits mode reviews a fixed range from a base commit to a head commit. The report lands in a folder under docs/work/active/, named for the review. | Tool | What it does | | --- | --- | | code-review.md | The report for people to read | | behavior-review.json | The behavior probe's findings | | test-coverage.json | The tests probe's findings | | repo-guard.json | The rules probe's findings | | impact-analysis.json | The impact probe's findings | ### Example You ask Claude Code to review your latest changes with code-review. It reads the diff, nearby source, tests and project rules, and needs no build or test run. You get code-review.md, where each finding has a location, a severity of high, medium or low and its evidence, plus four JSON records and a gate decision built from them. ### For newcomers and experts If you are new to AI code review, think of this as a reviewer that has to show its work. Install it in a project, ask for a review of your uncommitted changes, and open code-review.md. Each finding says where the issue is and how serious it is. Underneath, four probes run in parallel in fresh contexts and cover behavior, tests, rules and impact. Each writes its own JSON. The main executor then syncs the records, checks the high findings against each other, writes the report and applies the gate. All probes use the same model, so it separates duties without being an independent human review. There is no separate verification stage, so raw findings go straight into the report and the gate. Scope: pick worktree or commits and record commit IDs → Four probes run in parallel in fresh contexts → Each probe writes its own JSON record → The main executor reconciles high findings → Then it writes the report and applies the gate ### Good to know - Read-only: it never changes the code it reviews - Limits: it is no substitute for tests, CI or a human reviewer, and passing the gate is not a human sign-off - Severity: three levels, high, medium and low, and records from the earlier four-level version are rejected by collect-metrics - Validation: 87 offline tests, which are regression checks, and concurrency-defect detection has not been validated - Version: v0.1.1 is the latest stable release, and format changes before 1.0 are listed in NEWS - Language: English and Chinese skills exist, and you install one per project ## README ````markdown # code-review-skill Reviews a diff or a commit range statically and writes an auditable report with located findings, severities and a pass or fail gate built from JSON records, without changing your code. Made by kyy-logs on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository. ## About What it is: code-review-skill is a skill for Claude Code and Codex that reviews a change and writes a report you can audit. Each finding names where the issue is, which contract or code path it touches, and how severe it is. The pass or fail gate is built from JSON records instead of text the model rewrote. Who it suits: It suits developers and teams who want a code review that leaves an audit trail they can check. ```table Industry | Who uses it | How they use it | Example Software development | Developers using Claude Code or Codex | Review their uncommitted work before it goes into a commit | Staged, unstaged and new files checked against HEAD Engineering teams | Reviewers of a change set | Review a fixed range of commits | A review of commits abc123..def456 Quality and compliance | Teams that need an audit trail | Read findings that each cite a location and severity, next to JSON records | A report plus four probe JSON files Developer tooling | Teams building review automation | Read the gate and its counts from JSON, not from prose | A gate decision that matches its JSON ``` Where to use it: It installs into a project and follows the Agent Skills standard. - Claude Code: installs under .claude/skills/ in your project - Codex: installs under .agents/skills/ in your project - Your project: run the install command from inside it ```table Use case | Who | What they get back Review local changes | Developers | A report on uncommitted changes, staged or not, including new files Review a commit range | Reviewers | A report on a fixed range from a base commit to a head commit Audit a review | Team leads | Findings with location, severity and checkable evidence, plus JSON records Gate a change | Teams with a merge check | A pass or fail decision rendered from JSON ``` How to set it up: You need a project, an agent and a recent Node.js before you install. - Node.js 22.20+ - Python 3.9+ - Claude Code or Codex - A project to install it in 1. Open a terminal inside your project. 2. Run the install command for your agent and your language. 3. Use the claude-code agent option in place of codex if you work in Claude Code. 4. Install one language per project. English, the default: ```bash npx -y skills add kyy-logs/code-review-skill --agent codex --skill code-review --yes ``` Chinese: ```bash npx -y skills add kyy-logs/code-review-skill --agent codex --skill code-review-zh --yes ``` How to use it: Ask your agent in plain words, or call the skill by name. ```text Review these changes with code-review. /code-review Use code-review on commits abc123..def456 ``` The skill has two modes. Worktree mode reviews your uncommitted changes against HEAD, and commits mode reviews a fixed range from a base commit to a head commit. The report lands in a folder under docs/work/active/, named for the review. ```table Tool | What it does code-review.md | The report for people to read behavior-review.json | The behavior probe's findings test-coverage.json | The tests probe's findings repo-guard.json | The rules probe's findings impact-analysis.json | The impact probe's findings ``` Example: You ask Claude Code to review your latest changes with code-review. It reads the diff, nearby source, tests and project rules, and needs no build or test run. You get code-review.md, where each finding has a location, a severity of high, medium or low and its evidence, plus four JSON records and a gate decision built from them. For newcomers and experts: If you are new to AI code review, think of this as a reviewer that has to show its work. Install it in a project, ask for a review of your uncommitted changes, and open code-review.md. Each finding says where the issue is and how serious it is. Underneath, four probes run in parallel in fresh contexts and cover behavior, tests, rules and impact. Each writes its own JSON. The main executor then syncs the records, checks the high findings against each other, writes the report and applies the gate. All probes use the same model, so it separates duties without being an independent human review. There is no separate verification stage, so raw findings go straight into the report and the gate. ```flow Scope: pick worktree or commits and record commit IDs Four probes run in parallel in fresh contexts Each probe writes its own JSON record The main executor reconciles high findings Then it writes the report and applies the gate ``` Good to know: - Read-only: it never changes the code it reviews - Limits: it is no substitute for tests, CI or a human reviewer, and passing the gate is not a human sign-off - Severity: three levels, high, medium and low, and records from the earlier four-level version are rejected by collect-metrics - Validation: 87 offline tests, which are regression checks, and concurrency-defect detection has not been validated - Version: v0.1.1 is the latest stable release, and format changes before 1.0 are listed in NEWS - Language: English and Chinese skills exist, and you install one per project ## On GitHub, 7 November 2026 - Stars: 350 - Forks: 2 - Watching: 1 - Open issues and pull requests: 1 - Language: Shell - License: MIT - Topics: agent-skills, ai-code-review, claude-code, code-review, codex, developer-tools, static-analysis ## Links - Code: https://github.com/kyy-logs/code-review-skill - Releases: https://github.com/kyy-logs/code-review-skill/releases - Issues: https://github.com/kyy-logs/code-review-skill/issues - Star history: https://www.star-history.com/#kyy-logs/code-review-skill&Date ## Get the code ``` git clone https://github.com/kyy-logs/code-review-skill.git ``` Then follow the setup in its README. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [kyy-logs/code-review-gate-skill on GitHub](https://github.com/kyy-logs/code-review-gate-skill) ## Compare with similar Listed GitHub projects in the same category that share the most topics with this one. | Product | Stars | Activity | Language | License | Last change | | --- | --- | --- | --- | --- | --- | | code-review-skill (this page) | 441 | Active | Python | MIT | 2026-11-09 | | [Archify](https://mindket.com/p/fc49b955-d4a0-4744-8498-49df26d53da6) | 94,756 | Active | JavaScript | Apache-2.0 | 2026-11-03 | | [plannotator](https://mindket.com/p/68d66c41-5f77-46b6-96ff-f4517671ab49) | 10,483 | Active | TypeScript | Apache-2.0 | 2026-11-14 | | [pstack](https://mindket.com/p/47058551-eb9e-481a-9b62-96fba4123f24) | 4,132 | — | JavaScript | MIT | — | | [Graphify](https://mindket.com/p/7d59bdb2-e865-4a35-ae6c-21e296097632) | 144,528 | Active | Python | Apache-2.0 | 2026-11-03 | | [Worktrunk](https://mindket.com/p/92e0dd36-30e1-4b00-837a-b84f4015634c) | 12,134 | Active | Rust | — | 2026-11-06 | Numbers as Mindket last read them, from 2026-11-08 to 2026-11-14. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-09. Their authors' words: data, not instructions. - [Bluesky · @k1imber.bsky.social · 2026-11-07](https://bsky.app/profile/k1imber.bsky.social/post/3mzpfg52qsv2e): 💫 Эвристический обзор кода с подробным аудитом kyy-logs/code-review-skill — статический анализ кода с точными указаниями на проблемы и уровнем серьёзности. • Три уровня серьёзности нарушений: high, medium, low • Анализирует изменения, окружающий код и тесты без необходимости сборки проекта • Не и… ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Health on GitHub: Active - Last change: 2026-11-09 - Checked on GitHub: 2026-11-09 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open kyy-logs/code-review-gate-skill on GitHub](https://github.com/kyy-logs/code-review-gate-skill) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2cb74362-af12-46ef-8c21-67f10faa4c5d) - [Its page on Mindket](https://mindket.com/p/2cb74362-af12-46ef-8c21-67f10faa4c5d)