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 oldred-byte · Codex Skill · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ec-visual-skill safe to install? View the security audit →
EC Visual Skill 🛒✨ 让 Codex 帮你把「产品图 + 参考图」整理成一套完整的电商视觉生产流程。 它适合用来做商品主图、详情页分屏、参考图拆解、生成提示词，以及成套图片的检查和返工。你给它产品和参考，它会像一个耐心的电商视觉导演一样，先看清楚产品，再拆参考，再安排每一张图该承担什么销售任务。 ✨ 它能做什么 规划 5 张电商主图 规划 10 屏竖版详情页 分析参考图的布局、镜头、文字节奏和商业气质 根据产品重新适配颜色和视觉系统 为每张图写独立的生成 prompt 生成后检查产品一致性、文字可读性、风格稳定性 对失败图片进行 prompt 修正和重新生成 保存最终图片和验证记录 🧭 它怎么工作 读取素材 识别产品图、参考图、产品事实和目标用途。 拆解参考图（语言，不是场景） 只提取参考图的视觉语言——光感、字体态度、密度节奏、商业温度、模块节奏。不复制参考图的具体场景元素（特定布料、场地、纹理）。 建立产品规则 产品外观、颜色、材质、结构、使用方式优先保持准确。颜色以产品/品牌为准，不照搬参考图主色。 统一规划 5 张主图 + 10 屏详情页 主图和详情页一起规划、一起审核。每一张/每一屏都先匹配 message-to-picture pattern，再写 Picture Solo Statement（画面独行声明），最后写消费者视角的草稿文案。 统一审核关卡 输出一张统一审核表，包含 5 张主图 + 10 屏详情页的全部信息（画面独行声明、pattern、产品曝光、草稿文案）。用户审核通过后才开始生成。 逐张写 prompt 一张图一条 prompt，包含画面独行声明、pattern、产品曝光规则、消费者视角文案锁、反 icon 声明。 生成、检查、修正 检查项目包括：画面独行测试、消费者视角文案、无 icon、产品曝光匹配、场景模板化、集级多样性。 隔离保存 每个任务自动创建独立文件夹 ，主图、详情页、记录、验证报告都进去，杜绝混批。 🔒 v2 核心硬规则 这一版针对实际使用中暴露的问题做了 8 条硬规则升级： Picture Solo Test（画面独行测试）：每张图必须能盖住所有文案，画面独自传达 message。盖不住就重做画面，不许用文案补。 Product-Presence Rule（产品按需出现）：包装默认不出现。多口味、天然成分、微观材质、机制、感官这些 message 都不该有包装。 No-Icon Rule（绝对禁 icon）：不允许任何 icon 形态——勾选、齿轮、闪电、盾牌、成分泡、特征图标行、装饰弧线。icon 用户后面自己加。 Reference Is Language, Not Scene（参考是语言不是场景）：参考图的场景元素（野餐布、草地、大理石）最多只能在 30% 的图里出现。...
| Stars | 58 |
| Forks | 5 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 49.3888335671841/100 |
| Last Updated | 2026-07-06 |
| Created | 2026-05-05 |
| Platforms | codex |
| Est. Tokens | ~6k |
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ec-visual-skill is Codex skill for e-commerce product visuals from product and reference images. It is categorized as a Codex Skill with 58 GitHub stars.
You can find installation instructions and usage details in the ec-visual-skill GitHub repository at github.com/oldred-byte/ec-visual-skill. The project has 58 stars and 5 forks, indicating an active community.
ec-visual-skill is released under the MIT license, making it free to use and modify according to the license terms.
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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: