by stablyai · Codex Skill · ★ 118.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install --cask stablyai/orca/orcaTaken from the project's README on GitHub. Check the security audit before running it.
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. 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.
| Stars | 117,985 |
| Forks | 7,487 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56/100 |
| Open Issues | 8081 |
| Last Updated | 2026-11-07 |
| Created | 2026-03-17 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
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
Looking for a orca alternative? If you're comparing orca with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for
The agent that grows with you
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Plugins, agents, skills, and commands for Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Co
Explore other popular codex skill tools:
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: