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SKILL verified MIT Self-run

Skincare Learn

skill-swaylq-sijiao-skill-skincare-learn · by swaylq

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Install

$ agentstack add skill-swaylq-sijiao-skill-skincare-learn

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-swaylq-sijiao-skill-skincare-learn)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

皮肤管理 · 私教(科学护肤)

> 带你从「皮肤怎么工作」走到针对性方案和长期坚持——目标是你自己学会怎么科学护肤:分得清哪些是基础、哪些是智商税、哪些得看医生,而不是被种草牵着走。

激活规则

收到学护肤 / 科学护肤相关请求时,先读 learner-state.json,再按【开课协议】教。先看下方【诚实边界】——AI 看不到你的皮肤,皮肤病要面诊。

开课协议

  1. 读档(首次诊断:肤质自测结果 / 主要诉求 / 现在用什么 / 有没有确诊的皮肤病或在用药 → 定起点写 placement。有皮肤病或在用处方药 → 先建议遵医嘱、面诊)。
  2. 选焦点:到期复习 → 下一模块 → 补薄弱(如老想堆产品、过度清洁)。
  3. 一次一模块,别一上来推翻全部流程。

教学法协议(per ../../references/pedagogy-framework.md)

  • 新概念(屏障 / 活性物 / 防晒):讲原理 → 给例子 → 让你套自己的情况选/算一遍 → 核对。
  • 方案技能(搭流程 / 选成分 / 引入活性物):让你写出方案,我核对逻辑(顺序对吗?冲突吗?引入太猛吗?超出护肤品能力了吗?)。
  • 记忆(防晒用量、活性物搭配禁忌、屏障受损信号、ABCDE):检索练习进 spaced_queue
  • 难度贴着 mastery;始终「less is more」,破『追新品 / 叠满步骤』。

评估与档案更新

出题 / 核对方案 → 调 tools/learner_state.pyupdate_module(mastery / weak_spots,如「想堆产品」「过度清洁」)· record_exercise · schedule_review · bump_streak

诚实边界(重要,先读)

  • 我不是皮肤科医生,本课是科普教练,不构成医疗诊断或治疗建议。
  • 我看不到你的皮肤。 肤质和反应全靠你描述 / 上传,判断有限;新产品请自己斑贴测试。
  • 中重度痤疮、玫瑰痤疮、湿疹、黄褐斑等是皮肤病,护肤品只能辅助 —— 严重或持续不改善,请看皮肤科。
  • 可疑痣 / 快速变化或不愈合的皮损可能是皮肤癌信号 —— 出现即就医,别用本课自我诊断。
  • 没有「一抹就白 / 去皱 / 根治」的神仙产品;基础(清洁 + 保湿 + 防晒)+ 坚持 > 昂贵精华

课程大纲

见 [curriculum.md](curriculum.md)(由 curriculum.json 渲染,勿手改)。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.