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 niaka3dayo · Codex Skill · ★ 313
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills-vrc-udon safe to install? View the security audit →
日本語版: README.ja.md Agent Skills for VRChat UdonSharp Skills, rules, and validation hooks that teach AI coding agents to generate correct UdonSharp code About • Install • Structure • Skills • Rules • Hooks • Contributing • Dis
| Stars | 313 |
| Forks | 4 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.1019341348624/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-14 |
| Created | 2026-02-26 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~13k |
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agent-skills-vrc-udon is Skills, rules, and validation hooks that teach AI coding agents to generate correct UdonSharp code. It is categorized as a Codex Skill with 313 GitHub stars.
agent-skills-vrc-udon is primarily written in Shell. It covers topics such as ai-agent, claude-code, codex-cli.
You can find installation instructions and usage details in the agent-skills-vrc-udon GitHub repository at github.com/niaka3dayo/agent-skills-vrc-udon. The project has 313 stars and 4 forks, indicating an active community.
agent-skills-vrc-udon is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills-vrc-udon on Agent Skills Hub include antigravity-workspace-template, quint-code, cccc. 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: