Borrowing it
Nothing to install: this file belongs to huifer/WellAlly-health. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huifer/WellAlly-health/main/.claude/skills/skin-health-analyzer/SKILL.mdgit clone --depth 1 https://github.com/huifer/WellAlly-healthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huifer/wellally-health/skin-health-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/skin-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/skin-health-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huifer/wellally-health/skin-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/skin-health-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.05541 |
| Opus 5 | $0.00024 | $0.02771 |
| Sonnet 5 | $0.00010 | $0.01108 |
| Haiku 4.5 | $0.00005 | $0.00554 |
Grade A, and why
skin-health-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 705 lines — stays where its author put it; the contents beside it link to each section on GitHub.
皮肤健康分析技能
技能概述
本技能提供全面的皮肤健康数据分析功能，包括趋势识别、风险评估、问题诊断和个性化建议生成。特别强调痣的监测和皮肤癌预防。
医学免责声明
⚠️ 重要提示：本技能提供的数据分析和建议仅供参考，不构成医学诊断或治疗建议。
- 所有皮肤问题应由专业皮肤科医生诊断和治疗
- 痣的异常变化必须立即就医检查
- 皮肤癌需要专业诊断，不能仅依靠自我评估
- 分析结果不能替代专业皮肤科检查
- 紧急情况应立即就医
- 请遵循皮肤科医生的专业建议
核心功能
1. 趋势分析
皮肤问题发展趋势
- 识别痤疮、湿疹等问题的发生模式
- 分析问题的季节性和周期性
- 评估问题严重程度的变化
- 预测未来发作风险
输出内容：
- 问题发生频率曲线
- 严重程度变化趋势
- 诱发因素分析
- 预防建议
痣的变化监测
- 新增痣的位置和数量追踪
- 已有痣的大小变化监测
- ABCDE特征变化记录
- 高风险痣识别
输出内容：
- 痣的分布图
- 变化预警报告
- 需要关注的美容痣列表
- 就医建议
护肤效果评估
- 护肤程序使用频率分析
- 产品效果评估
- 皮肤状态改善情况
- 不良反应监测
输出内容：
- 护肤效果评分
- 产品推荐
- 程序优化建议
- 成本效益分析
日晒防护效果分析
- 防晒霜使用情况统计
- 日晒伤发生频率
- 光老化迹象评估
- 防护习惯改进建议
输出内容：
- 防护评分趋势
- 风险评估
- 改进建议
- 产品推荐
2. 风险评估
皮肤癌风险评估
基于以下因素进行综合评估：
- 皮肤类型（Fitzpatrick分型）
- 日晒暴露史
- 痣的数量和特征
- 日晒伤历史
- 家族史
- 使用日光浴床历史
风险等级：
- 低风险：深色皮肤、少日晒、无痣异常
- 中风险：浅色皮肤、中度日晒、有痣异常
- 高风险：浅色皮肤、大量日晒、多个异常痣、家族史
输出内容：
- 风险等级（低/中/高）
- 主要风险因素
- 量化风险评分
- 降低风险策略
- 筛查建议
痤疮严重程度评估
基于以下因素进行综合评估：
- 痤疮类型（黑头、白头、炎性丘疹、结节、囊肿）
- 病灶数量和分布
- 炎症程度
- 瘢痕形成风险
严重程度分级：
- 轻度：主要是黑头和白头，少量炎性病灶
- 中度：较多炎性病灶，可能形成轻微瘢痕
- 重度：结节和囊肿，高瘢痕风险
输出内容：
- 严重程度分级
- 主要诱因分析
- 治疗建议参考
- 护肤建议
- 就医建议
过敏风险识别
基于以下因素进行综合评估：
- 已知过敏原
- 皮肤敏感史
- 产品使用历史
- 季节性过敏模式
- 家族过敏史
输出内容：
- 过敏原列表
- 风险评估
- 避免建议
- 替代产品推荐
光老化风险预测
基于以下因素进行综合评估：
- 日晒暴露总量
- 防护习惯
- 皮肤类型
- 年龄
- 生活方式
输出内容：
- 光老化风险等级
- 当前光老化迹象
- 预防建议
- 治疗选择参考
3. 关联分析
与营养模块的关联
营养素对皮肤健康的影响：
- 维生素A：皮肤细胞更新、视力
- 维生素C：胶原蛋白合成、抗氧化
- 维生素E：抗氧化、保护细胞膜
- Omega-3脂肪酸：抗炎作用
- 锌：伤口愈合、油脂控制
- 水：皮肤水合作用
食物对皮肤问题的影响：
- 高糖食物：痤疮加重
- 乳制品：部分人群痤疮诱发因素
- 辛辣食物：玫瑰痤疮加重
- 酒精：皮肤脱水、潮红
营养缺乏的皮肤表现：
- 维生素A缺乏：皮肤干燥、角化
- 维生素C缺乏：伤口愈合慢、易淤青
- 维生素B缺乏：皮炎、口角炎
- 铁缺乏：苍白、脆弱
- 蛋白质缺乏：皮肤松弛、水肿
输出内容：
- 营养状况评估
- 缺乏风险识别
- 饮食调整建议
- 补充剂建议（如需要）
与慢性病模块的关联
糖尿病与皮肤：
- 糖尿病皮肤病（糖尿病性皮肤病）
- 伤口愈合延迟
- 真菌感染风险增加
- 黑棘皮病
- 脂质性渐进性坏死
自身免疫病与皮肤：
- 狼疮：蝶形红斑、光敏感
- 类风湿关节炎：类风湿结节、血管炎
- 银屑病关节炎：银屑病皮损
- 皮肌炎：Gottron征、向阳性皮疹
甲状腺疾病与皮肤：
- 甲亢：皮肤湿润、头发变细、指甲松动
- 甲减：皮肤干燥、毛发粗燥、水肿
肝脏疾病与皮肤：
- 黄疸：皮肤和巩膜黄染
- 蜘蛛痣：血管性蜘蛛状病变
- 掌红斑：手掌红斑
- 皮肤瘙痒：胆汁淤积
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 705 lines · 49 tokens per session scan A 6d4a8ad982e9
skin-health-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (948 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 5,541 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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