by QIYU-JACKMAN · Codex Skill · ★ 89
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. Full audit →
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 | 89 |
| Forks | 16 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 58/100 |
| Last Updated | 2026-08-19 |
| Created | 2026-07-20 |
| Platforms | codex, python |
| Est. Tokens | ~17k |
电商生图工作流 English documentation 英文名称:Ecommerce Image Generation Workflow 开发者:启宇跨境 跨境毒舌说-JACKMAN 亚马逊官方合作讲师 亚马逊多年卖家 AI+电商融合落地顾问 V+AMZdudu888 电商生图工作流是一套运行在 Codex 中的电商图片生产插件。它把商品事实分析、参考图拆解、提示词优化、客户确认、图片生成、逐图质检、失败项重做和项目记录组织成一套可重复执行的流程。 安装一次插件后,可以调用总入口 选择工作流,也可以直接调用对应的专业 Skill。 总体流程 所有需要生成图片的分支遵循同一条主流程: 商品图负责确定商品结构、颜色、Logo、包装、配件和可见细节。风格参考图只负责构图、配色、光线、材质、排版和氛围,不提供商品事实、参数、品牌或卖点。 九种工作流 手机照片自动精修...
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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: