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 DeepMyst · Codex Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Mysti safe to install? View the security audit →
English Русский Mysti - Your AI Coding Team Working Together <img src="https://img.shields.io
| Stars | 1,136 |
| Forks | 54 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 66.4345305036348/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-14 |
| Created | 2025-11-29 |
| Platforms | claude-code, codex, gemini, node, vscode |
| Est. Tokens | ~19k |
These tools work well together with Mysti for enhanced workflows:
Looking for a Mysti alternative? If you're comparing Mysti 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.
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Mysti is AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.. It is categorized as a Codex Skill with 1.1k GitHub stars.
Mysti is primarily written in TypeScript. It covers topics such as agent, agentic-ai, agentic-coding.
You can find installation instructions and usage details in the Mysti GitHub repository at github.com/DeepMyst/Mysti. The project has 1.1k stars and 54 forks, indicating an active community.
Mysti is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Mysti on Agent Skills Hub include codex-cli-best-practice, crystal, codexia. 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: