Flagged: sudo usage, privileged Docker. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by 5dive-ai · Codex Skill · ★ 60
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5dive: run a company of AI agents on a server you own Spin up named agents, each with its own model, memory, and role. Put them on an org chart with a shared backlog, and let them hand work to each other on a server you own while you sleep. They ping your phone over Telegram only when a human has to decide. Works with claude, codex, grok, antigravity. We run our own company on this: a team of AI agents that assign each other work, report up an org chart, and escalate to a human only when they're stuck. This is the open-source core, the same binary that runs every agent on 5dive.com. MIT, no open-core split. Run it yourself, or skip the ops with the managed VM. Already use Claude Code, Codex, Grok, Antigravity, or opencode? Install the skill and run your whole agent company in plain English — crea
| Stars | 60 |
| Forks | 10 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.6352761339446/100 |
| Open Issues | 20 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-15 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~14k |
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5dive is Run a company of AI agents on a server you own. Spin up named agents (claude, codex, pi…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human . It is categorized as a Codex Skill with 60 GitHub stars.
5dive is primarily written in Shell. It covers topics such as agent-loops, agent-orchestration, agent-runtime.
You can find installation instructions and usage details in the 5dive GitHub repository at github.com/5dive-ai/5dive. The project has 60 stars and 10 forks, indicating an active community.
5dive is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to 5dive on Agent Skills Hub include markus, platform, open-tag. 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: