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 dillydog580 · MCP Server · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is animate-roblox-characters safe to install? View the security audit →
AI-driven Roblox R6/R15 animation skill for Codex and Claude, using authentic Blender rigs, audited keyframing, Roblox export, and verified GIF previews.
| Stars | 6 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.4685507026526/100 |
| Last Updated | 2026-07-15 |
| Created | 2026-07-12 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~15k |
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animate-roblox-characters is AI-driven Roblox R6/R15 animation skill for Codex and Claude, using authentic Blender rigs, audited keyframing, Roblox export, and verified GIF previews.. It is categorized as a MCP Server with 6 GitHub stars.
animate-roblox-characters is primarily written in Python. It covers topics such as agent-skill, agent-skills, ai-skill.
You can find installation instructions and usage details in the animate-roblox-characters GitHub repository at github.com/dillydog580/animate-roblox-characters. The project has 6 stars and 0 forks, indicating an active community.
animate-roblox-characters is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to animate-roblox-characters on Agent Skills Hub include agent-skills, semanticscholar-skill, cc-blender-skill. 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: