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 stablyai · Codex Skill · ★ 75.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is orca safe to install? View the security audit →
Orca Español · 中文 · 日本語 · 한국어 The AI Orchestrator for 100x builders. Run Claude Code, OpenClaude, Codex, or OpenCode side-by-side — each in its own worktree, tracked in one place. Download Orca <img src="docs/assets/readme-hero.jpg" alt="Orca des
| Stars | 75,721 |
| Forks | 4,958 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 57.4112411956504/100 |
| Open Issues | 6577 |
| Last Updated | 2026-09-23 |
| Created | 2026-03-17 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~17k |
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orca is Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.. It is categorized as a Codex Skill with 75.7k GitHub stars.
orca is primarily written in TypeScript. It covers topics such as ade, agent-ide, ai-agents.
You can find installation instructions and usage details in the orca GitHub repository at github.com/stablyai/orca. The project has 75.7k stars and 4958 forks, indicating an active community.
orca is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to orca on Agent Skills Hub include cmux, paseo, oh-my-openagent. 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: