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 mindfold-ai · Codex Skill · ★ 14.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Trellis safe to install? View the security audit →
A multi-platform AI coding framework that rules Supports Claude Code, Cursor, OpenCode, iFlow, Codex, Kilo, Kiro, Gemini CLI, Antigravity, and Qoder. 简体中文 • Docs • Quick Start • Supported Platforms • Use Cases <img src=
| Stars | 14,604 |
| Forks | 822 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 64.4696728354483/100 |
| Open Issues | 50 |
| Last Updated | 2026-09-11 |
| Created | 2026-01-26 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
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Trellis is The best agent harness.. It is categorized as a Codex Skill with 14.6k GitHub stars.
Trellis is primarily written in TypeScript. It covers topics such as agentic-coding, ai-workflow, claudecode.
You can find installation instructions and usage details in the Trellis GitHub repository at github.com/mindfold-ai/Trellis. The project has 14.6k stars and 822 forks, indicating an active community.
Trellis is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Trellis on Agent Skills Hub include vibeproxy, claude-code-best-practice, awesome-claude-code. 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: