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 Juror-AI · MCP Server · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is juror safe to install? View the security audit →
Juror is a GitHub Action that asks several frontier models to review each pull request in parallel. It combines duplicate findings into one report and posts the review, merge score, and cost receipt back to GitHub. Juror Cloud This repository also contains , a deployable hosted companion with GitHub and Google sign-in, GitHub App automation, a lean findings and run inbox, isolated Cloudflare Sandbox execution, post-merge staging QA, and transparent Stripe metered billing. The open-source Action and CLI remain independently usable, while repositories
| Stars | 119 |
| Forks | 36 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.4680261862476/100 |
| Open Issues | 17 |
| Last Updated | 2026-10-06 |
| Created | 2026-08-06 |
| Platforms | cli, codex, mcp, node |
| Est. Tokens | ~21k |
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juror is Cheaper and better Greptile alternative runs on your own github actions.. It is categorized as a MCP Server with 119 GitHub stars.
juror is primarily written in TypeScript. It covers topics such as ai-agents, ai-code-review, chatgpt.
You can find installation instructions and usage details in the juror GitHub repository at github.com/Juror-AI/juror. The project has 119 stars and 36 forks, indicating an active community.
juror is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to juror on Agent Skills Hub include roam-code, agnix, Gito. 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: