ankle-sprain

仓库创建 2026年7月2日最近提交 21 天前SkillHot 收录 21 天前

▸ 精选理由

提供可审计且版本化的分诊规则，适合临床流程自动化与记录。

▸ 风险提示

仅供参考，非专业医疗诊断，应辅以临床判断。

这个 Skill 做什么

基于确定性决策树对踝部损伤进行分诊与处理建议。

用一棵固定的、可审计的决策树对踝部损伤做分诊：根据踝部压痛位置、能否负重、是否有可见畸形、受伤时长等结构化特征，判断送急诊、是否要影像或门诊随访。适合那些必须一致、可复现的临床路由场景——先按表提取特征再调用 assess_ankle()，不要让模型自由发挥。关键是决策“冻结”并版本化、零 LLM 调用，便于审计与合规。

▸ 展开 SKILL.md 英文原文

Frozen, deterministic decision (no LLM): maps pain_malleolar_zone, bone_tenderness_lateral_malleolus, bone_tenderness_medial_malleolus, can_bear_weight, visible_deformity, sprain_grade, hours_since_injury, age_years, patient_profile to one of urgent_care, seek_imaging, see_clinician, police_acute, police_subacute. Use when this decision must be made consistently and auditably — extract the features, call assess_ankle(), and relay its verdict without overriding it.

垂直行业医疗分诊踝部损伤决策树可审核通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/CyrilLeMat/temper-skills/main/examples/ankle_sprain/output/ankle-sprain/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/CyrilLeMat/temper-skills/main/examples/ankle_sprain/output/ankle-sprain/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# assess_ankle — skill (tempered by temper-skills)

You are an assistant.

**The decision is frozen.** Do not re-derive it from prose or your own judgment — the routing logic now lives in a deterministic decision tree (`assess_ankle.assess_ankle`, zero LLM calls, reviewed and version-controlled). Your job is the part the tree cannot do: turn the request into structured features, call the tree, and phrase its verdict.

## How to answer

1. Extract these structured features from the request:
   - `pain_malleolar_zone`
   - `bone_tenderness_lateral_malleolus`
   - `bone_tenderness_medial_malleolus`
   - `can_bear_weight`
   - `visible_deformity`
   - `sprain_grade`
   - `hours_since_injury`

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