Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by juanibiapina · Codex Skill · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gob safe to install? View the security audit →
gob Process manager for AI agents (and humans). (pronounced job, of course) is a CLI for managing background processes with a shared interface for you and your AI coding agent. Start a dev server with Claude Code, check its logs yourself. Or vice-versa. The agent can monitor what you started. Everyone has the same view. No more "can you check if that's still running?" No more copy-pasting logs through chat. Just direct access to your processes, for everyone. Features Interactive TUI - Full-screen terminal interface with real-time job status Real-time log streaming - Follow stdout/stderr from CLI, TUI, or AI agents without copying output AI agent friendly - Shared view of all processes for you and your codi
| Stars | 72 |
| Forks | 6 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.4552551543852/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-11 |
| Created | 2025-11-17 |
| Platforms | claude-code, cli, codex, go |
| Est. Tokens | ~18k |
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gob is Process manager for AI agents (and humans). It is categorized as a Codex Skill with 72 GitHub stars.
gob is primarily written in Go. It covers topics such as ai-tools, background-jobs, bubbletea.
You can find installation instructions and usage details in the gob GitHub repository at github.com/juanibiapina/gob. The project has 72 stars and 6 forks, indicating an active community.
gob is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gob on Agent Skills Hub include mcpsnoop, toktrack, terminal-jarvis. 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: