rovai-ai: Desktop and web workspace for lasting teams of coding agents, with shared conversations, task delegation

by murray17 · Codex Skill · ★ 252

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

How to install rovai-ai

git clone https://github.com/murray17/rovai-ai.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

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.

acpagent-orchestrationai-teamclaude-codecodexcoding-agentscollaborative-aideveloper-toolsmulti-agentrpg

Quick Facts

Stars252
Forks42
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score64/100
Open Issues15
Last Updated2026-11-06
Created2026-07-17
Platformsbrowser, claude-code, codex, rust
Est. Tokens~25k

About rovai-ai

Rovai AI Assemble a team of agents that grows together. Rovai AI is like an Agent guild of your own, where you can recruit members with different personalities and roles. Together, they explore, discuss, and act on real tasks — building team chemistry and collaborative memory along the way. Quick Start · How It Works · Design Philosophy English | 简体中文

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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:

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