5dive: Run your own AI team from your phone

by 5dive-ai · Codex Skill · ★ 99

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install 5dive

docker run -d --name 5dive-demo --privileged 5dive
npx -y skills add https://github.com/5dive-ai/skills --skill 5dive-cli --agent <runtime> --yes

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: CAUTION · quality 68/100

Flagged: sudo usage, privileged Docker. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-loopsagent-orchestrationagent-runtimeagent-to-agentai-agentsai-companyai-employeeai-teamautonomous-agentsclaude-code

Quick Facts

Stars99
Forks13
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score68/100
Open Issues10
Last Updated2026-11-05
Created2026-05-15
Platformsclaude-code, cli, codex
Est. Tokens~14k

About 5dive

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.

Compatible Skills

These tools work well together with 5dive for enhanced workflows:

  • Clawdboss — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • plugin — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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    CoordClaw: a multi-agent system that runs AI like a one-person company. Built on management & organizational t

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Codex Skill tools