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 →
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🔒 Is roborev safe to install? View the security audit →
lastedited: 2026-09-17 Documentation Installation Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound. Pull code reviews into your agentic loop while context is fresh. How It Works Run to install a post-commit hook Every commit triggers a background review -- agents write, roborev reads View findings in the TUI, feed them to your agent, or let handle it Automation, two layers Post-commit reviews - a git hook reviews every commit in the background (any agent). Agent hook - watches
| Stars | 1,745 |
| Forks | 165 |
| Language | Go |
| Category | AI Tool |
| License | MIT |
| Quality Score | 67.5603299830593/100 |
| Open Issues | 57 |
| Last Updated | 2026-10-06 |
| Created | 2026-01-05 |
| Platforms | go |
| Est. Tokens | ~21k |
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This tool has been deprecated. Use Agentic Document Extraction instead.
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roborev is Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code.. It is categorized as a AI Tool with 1.7k GitHub stars.
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You can find installation instructions and usage details in the roborev GitHub repository at github.com/kenn-io/roborev. The project has 1.7k stars and 165 forks, indicating an active community.
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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: