ai-reviewer: Context-aware AI reviewer for Pull Requests. Instant summary, line-by-line comments, title generation and more

by presubmit · Agent Tool · ★ 187

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Featured in: Code Review

Security audit verdict: SAFE · quality 73/100

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.

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.

aianthropiccode-qualitycode-reviewgithub-actionsinstantopen-sourceopenaireview-toolssonnet3-5

Quick Facts

Stars187
Forks46
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score73/100
Open Issues12
Last Updated2026-09-14
Created2024-11-06
Platformsnode
Est. Tokens~16k

About ai-reviewer

Presubmit - AI Code Reviewer Context-aware, intelligent and instant PR reviews       Optimize your code review process with Presubmit's AI Code Reviewer that catches bugs, suggests improvements, and provides meaningful summary - all before human reviewers take their first look.

Compatible Skills

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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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