by forgent3d · Codex Skill · ★ 254
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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 | 254 |
| Forks | 35 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68/100 |
| Last Updated | 2026-10-27 |
| Created | 2026-04-23 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~15k |
Forgent3D A local AI CAD companion for building, previewing, and iterating parametric 3D models with coding agents. 中文 · Download · AI Agent Workflow · Develop From Source · Releases [!IMPORTANT] This desktop app is in maintenance mode: bugs still get fixed, but no new features are coming. We recommend forgent3d-skills instead.
These tools work well together with forgent3d-desktop for enhanced workflows:
Looking for a forgent3d-desktop alternative? If you're comparing forgent3d-desktop 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.
CAD/CAE Copilot — an AI-native CAD/CAE/CAX workbench for AI agents. Text-to-CAD, text-to-CAE, real build123d/O
MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time
Desktop app for designing parametric 3D models in CadQuery together with the coding agent of your choice
Open-source fantasy village for monitoring Claude Code and Codex across terminals, apps and IDEs. Live activit
Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM
Run Claude Code, Codex, and Gemini side by side — each in its own git worktree
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: