code-review
Review code changes for correctness, regressions, and missing validation.
Install / Use
npx skills add athasdev/athas --skill skill-code-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of code-review
code-review scores 49/100 on our quality scale, 4318th of 4,604 Development & Engineering skills we index.
Its SKILL.md is 1003 bytes long, split into 3 sections and no code examples: fairly brief, so expect to fill in details yourself.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated 6 days ago, so code-review is actively maintained.
- Our last check on 2026-09-16 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
code-review compared with similar skills
All 4 of these similar skills score higher than code-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| code-review (this skill)by athasdev | 49 | 0 | 6d ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 102.7k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 66.0k | 5d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 45.2k | 6d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
Frequently asked questions
- How do I install code-review?
- Run
npx skills add athasdev/athas --skill code-review. The install tabs above show the steps for each supported agent. - Which AI agents does code-review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is code-review safe to use?
- It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is code-review still maintained?
- The repository was last updated 6 days ago, so code-review is actively maintained.
Skill content
View source on GitHubname: code-review description: Review code changes for correctness, regressions, and missing validation.
Code Review
Review the requested change as a maintainer responsible for the affected system.
Process
- Read the surrounding implementation, tests, and public contracts before judging the diff.
- Identify the intended behavior and trace every changed path that can affect it.
- Look for correctness failures, regressions, unsafe assumptions, lifecycle leaks, and missing error handling.
- Verify that tests exercise product behavior instead of implementation details.
- Distinguish new issues from unrelated baseline problems.
Findings
Report only actionable findings. For each finding:
- State the concrete failure or risk.
- Explain the conditions that trigger it.
- Point to the smallest relevant code range.
- Describe the user or system impact.
Order findings by severity. If no actionable problems remain, say so directly and mention any residual validation gaps.
Related Skills
taste-skill
102.7kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
ai-job-search
66.0kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
claude-howto
45.2kA visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.