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 Mybono · MCP Server · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-orchestrator safe to install? View the security audit →
ai-orchestrator README · Architecture · Agents · Skills & Commands Portable AI developer setup: Claude thinks, local Ollama executes. Works with any project — TypeScript, Python, Flutter, Swift, C++. No Python dependency — all orchestration is pure Bash and . How it works triggers the full pipeline: Claude writes the plan. A local Ollama model writes the code. Claude reviews the output. Details: Architecture · Agents Requirements Claude Code CLI Ollama installed and running — installed automatically by Installation Or manually: The installer checks dependencies, creates symlinks in /.cla
| Stars | 99 |
| Forks | 18 |
| Category | MCP Server |
| Quality Score | 71.4130229778335/100 |
| Last Updated | 2026-07-22 |
| Created | 2026-04-03 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~16k |
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ai-orchestrator is Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.. It is categorized as a MCP Server with 99 GitHub stars.
You can find installation instructions and usage details in the ai-orchestrator GitHub repository at github.com/Mybono/ai-orchestrator. The project has 99 stars and 18 forks, indicating an active community.
The top alternatives to ai-orchestrator on Agent Skills Hub include agent-builder, mcp-server, claude-code-open. 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: