by icesixgod · Codex Skill · ★ 91
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 | 91 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-10 |
| Created | 2026-09-08 |
| Platforms | codex, python |
| Est. Tokens | ~4k |
awesome-astra-blender-characters 从人物参考图到可编辑 Blender 角色的 AI Agent 工作流。 中文 · English 本仓库提供可安装的 技能，组织九视图参考、脸部与头发制作、局部修模、多视图验收和工程交付，重点是二次元人物与静态插画风格。技能不固定模型版本。 发布内容是技能指令和制作参考文档。仓库暂未提供人物模型、示例渲染、训练权重或一键三维重建程序；安装与检查脚本只服务于技能分发。 能力与流程 局部修模直接进入相关阶段；仅整理文档不生成图片或修改工程。范围假定须说明，用户未答复不能视为同意删减原图可见部件。每轮修改先比较问题视角及相邻视角的实际渲染，未改善时重新定位原因；稳定后再从明确保存的同一版本输出交付多视图。 静态插画质感与遮挡诊断 包含图片纹理 UV...
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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: