scanline: Expert AI code reviews Catch bugs before they hurt Run Scanline in your CLI to find: - race conditions

by ScanLineDev · Agent Tool · ★ 50

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Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aicode-review

Quick Facts

Stars50
Forks13
LanguagePython
CategoryAgent Tool
Quality Score65/100
Open Issues3
Last Updated2023-10-12
Created2023-09-23
Platformscli, python
Est. Tokens~14k

About scanline

ScanLine (Alpha) Catch bugs before they hurt. ScanLine reviews your code with GPT-4 and shows you how to improve it, like having an experienced code reviewer with you 24/7. ScanLine is an AI-based CLI tool to quickly check your commit, branch, or entire repo for: [x] 🏁 race conditions [x] 🔒 security gaps [x] 💡 inconsistent logic [x] 🚀 performance [x] ☑️ consistency [x] ⚙️ optimization [x] ⚠️...

scanline alternative? Top 6 similar tools

Looking for a scanline alternative? If you're comparing scanline with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • captain-claw by kstevica · ⭐ 175

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  • sage by usetig · ⭐ 106

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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