No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by akkie76 · Codex Skill · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is code-review-skills safe to install? View the security audit →
Code Review Skills 日本語 Code Review Skills is an evidence-driven code-review workflow for AI coding agents. It helps Codex and Claude Code find actionable defects while avoiding style-only comments and unsupported speculation. Beta: The review methodology and packaging are under evaluation. Expect changes before the first stable release. What it does Establishes the requested review scope and repository-specific rules. Traces changed behavior beyond the modified lines. Checks correctness, interfaces, design, security, reliability, tests, and documentation according to risk. Optionally decomposes complex reviews across independent sub-agents when the environment supports delegation, followed by a required integration pass. Requires a concrete trigger and impact for every finding. Prefixes each comment with its action level and viewpoint, such as or . Produces prioritized findings in English or Japanese. The skill reviews code; it does not modify the reviewed code unless the user separately asks for changes. See the review comment convention for action levels, viewpoints, and communication rules. Install Clone this repository and copy the complete package directory for your agent.
| Stars | 82 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.7647006442111/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-06 |
| Created | 2026-09-22 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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code-review-skills is Evidence-based code review skills for Codex and Claude Code. It is categorized as a Codex Skill with 82 GitHub stars.
code-review-skills is primarily written in Python. It covers topics such as ai-agent, ai-agent-skill, ai-agent-skills.
You can find installation instructions and usage details in the code-review-skills GitHub repository at github.com/akkie76/code-review-skills. The project has 82 stars and 0 forks, indicating an active community.
code-review-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to code-review-skills on Agent Skills Hub include AI-Code-Reviewer, mira, proval. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: