review-skill — security grade SAFE, quality 55/100

Security audit verdict: SAFE · quality 55/100

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 wxmb01 · Codex Skill · ★ 1

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is review-skill safe to install? View the security audit →

About review-skill

Evidence-based review skill for diff, project, and artifact review across code, readiness, architecture, requirements, and risk.

agent-skillai-agentarchitecture-reviewcode-reviewcodex-skilldocumentation-reviewopenai-codexpr-reviewproject-auditproject-review

Quick Facts

Stars1
Forks0
LanguagePowerShell
CategoryCodex Skill
LicenseMIT
Quality Score55.1059/100
Last Updated2026-03-28
Created2026-03-27
Platformscodex
Est. Tokens~270k

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Frequently Asked Questions

What is review-skill?

review-skill is Evidence-based review skill for diff, project, and artifact review across code, readiness, architecture, requirements, and risk.. It is categorized as a Codex Skill with 1 GitHub stars.

What programming language is review-skill written in?

review-skill is primarily written in PowerShell. It covers topics such as agent-skill, ai-agent, architecture-review.

How do I install or use review-skill?

You can find installation instructions and usage details in the review-skill GitHub repository at github.com/wxmb01/review-skill. The project has 1 stars and 0 forks, indicating an active community.

What license does review-skill use?

review-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to review-skill?

The top alternatives to review-skill on Agent Skills Hub include agent-architecture-review-sample, pr-review-agent-council, AI-bounty-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools