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 openyak · Codex Skill · ★ 708
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openyak safe to install? View the security audit →
OpenYak OpenYak is an open-source local AI agent that runs entirely on your desktop. It connects to 100+ models from 20+ providers, manages your files, and automates workflows — all without your data ever leaving your machine. ##
| Stars | 708 |
| Forks | 61 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 62.7948066543742/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-05 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~15k |
These tools work well together with openyak for enhanced workflows:
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openyak is One chat. Every agent. A universal interface for AI agents running on your computer.. It is categorized as a Codex Skill with 708 GitHub stars.
openyak is primarily written in TypeScript. It covers topics such as acp, agent, agent-client-protocol.
You can find installation instructions and usage details in the openyak GitHub repository at github.com/openyak/openyak. The project has 708 stars and 61 forks, indicating an active community.
openyak is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openyak on Agent Skills Hub include opentag, claw-orchestrator, OpenACP. 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: