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 persiyanov · Codex Skill · ★ 823
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is herdr-reviewr safe to install? View the security audit →
Special thanks to: Moshi: Terminals weren’t made for phones. Moshi is. A mobile terminal designed for AI coding agents. herdr-reviewr install · quick start · controls · scopes · configuration · limitations · changelog A code-review pane for herdr. Your agent writes the code. You read its diff in a pane beside the chat, comment on the lines, and send the notes back. You never leave the terminal. One persistent pane, pointed at a git wor
| Stars | 823 |
| Forks | 89 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.7616464339154/100 |
| Open Issues | 33 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-26 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~27k |
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herdr-reviewr is Review your coding agent's diff in a terminal pane and send line comments back to Claude Code, Codex, OpenCode or Pi. A herdr plugin.. It is categorized as a Codex Skill with 823 GitHub stars.
herdr-reviewr is primarily written in Rust. It covers topics such as agentic-coding, ai-agents, claude-code.
You can find installation instructions and usage details in the herdr-reviewr GitHub repository at github.com/persiyanov/herdr-reviewr. The project has 823 stars and 89 forks, indicating an active community.
herdr-reviewr is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to herdr-reviewr on Agent Skills Hub include abtop, zoetrope, pixtuoid. 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: