Flagged: reads sensitive env vars. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mr-karan · Agent Tool · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hodor safe to install? View the security audit →
Hodor Agentic code reviewer for GitHub PRs, GitLab MRs, Gitea/Forgejo PRs, and local diffs. Powered by the pi-coding-agent SDK. Hodor runs as a stateful agent with tools (, , , ) to autonomously analyze code changes, find bugs, and post structured reviews. Install Docker images are also available at for CI environments. Setup Usage bash Review a GitHub PR npx @mrkaran/hodor https://github.com/owner/repo/pull/123 Review a GitLab MR (including self-hosted) npx @mrkaran/hodor https://gitlab.example.com/org/project/-/mergerequests/42 Review a Gitea or Forgejo PR npx @mrkaran/hodor https://gi
| Stars | 111 |
| Forks | 15 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.2304698617891/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-30 |
| Created | 2025-11-05 |
| Platforms | node |
| Est. Tokens | ~16k |
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hodor is Agentic code reviewer for GitHub PRs and GitLab MRs. Multi-step reasoning with autonomous tool orchestration — catches bugs requiring analysis across files.. It is categorized as a Agent Tool with 111 GitHub stars.
hodor is primarily written in TypeScript. It covers topics such as agent, ai, ci-cd.
You can find installation instructions and usage details in the hodor GitHub repository at github.com/mr-karan/hodor. The project has 111 stars and 15 forks, indicating an active community.
hodor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hodor on Agent Skills Hub include Gito, roam-code, agnix. 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: