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/rehabilitation-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/rehabilitation-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/rehabilitation-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/rehabilitation-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/rehabilitation-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/rehabilitation-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 | $0.00032 | $0.04661 |
| Opus 5 | $0.00016 | $0.02330 |
| Sonnet 5 | $0.00006 | $0.00932 |
| Haiku 4.5 | $0.00003 | $0.00466 |
Grade A, and why
rehabilitation-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 — 637 lines — stays where its author put it; the contents beside it link to each section on GitHub.
康复训练分析技能
核心功能
康复训练分析技能提供全面的康复数据分析功能，帮助用户追踪康复进展、识别改善模式和优化训练计划。
主要功能模块：
- 康复进展分析 - 评估功能改善趋势和康复效果
- 功能改善曲线 - 可视化ROM、肌力、平衡等功能指标变化
- 疼痛模式识别 - 分析疼痛评分变化趋势和触发因素
- 目标达成率评估 - 追踪康复目标完成情况
- 康复阶段分析 - 评估当前阶段进展和阶段转换准备度
- 训练依从性评估 - 分析训练计划执行情况
触发条件
技能在以下情况下自动触发：
- 用户使用
/rehab progress查看康复进展 - 用户使用
/rehab analysis进行康复分析 - 用户使用
/rehab trends查看趋势分析 - 用户使用
/rehab report生成康复报告
执行步骤
第1步：数据读取
读取康复数据文件：
data/rehabilitation-tracker.json- 主康复档案data/rehabilitation-logs/YYYY-MM/YYYY-MM-DD.json- 每日训练日志
数据验证：
- 检查文件是否存在
- 验证数据结构完整性
- 确认有足够的数据点进行分析（建议至少3次评估或10天训练记录）
第2步：功能评估趋势分析
关节活动度（ROM）分析：
- 分析不同时间点的ROM测量值
- 计算ROM改善速率（度/周）
- 识别ROM平台期或倒退
- 预测达到目标ROM的时间
- 与目标范围对比
肌力改善分析：
- 追踪肌力等级变化（MMT评分）
- 识别肌力提升模式
- 比较不同肌群恢复速度
- 评估肌力不平衡情况
平衡功能分析：
- 平衡测试分数趋势
- 单腿站立时间改善
- 平衡稳定性评估
- 跌倒风险变化
第3步：疼痛模式分析
疼痛时序分析：
- 分析晨起疼痛趋势
- 分析活动后疼痛趋势
- 识别疼痛加重/缓解模式
- 关联疼痛与训练强度
疼痛触发因素识别：
- 特定训练项目与疼痛关系
- 训练强度与疼痛相关性
- 活动类型与疼痛关系
- 时间因素对疼痛影响
第4步：训练依从性计算
依从性指标：
依从性 = (实际训练次数 / 计划训练次数) × 100%
分析维度：
- 周依从性
- 月依从性
- 整体依从性
- 不同训练类型的依从性
第5步：目标达成评估
目标进度追踪：
- 计算每个目标的完成百分比
- 预估目标达成时间
- 识别滞后目标
- 提供目标调整建议
第6步：康复阶段评估
当前阶段分析：
- 阶段目标完成情况
- 是否准备好进入下一阶段
- 阶段转换建议
第7步：生成报告
输出包括：
- 康复进展摘要
- 功能改善趋势
- 疼痛控制情况
- 训练依从性评价
- 目标达成评估
- 阶段进展建议
- 个性化建议
输出格式
康复进展报告结构
# 康复进展报告
**报告日期**: YYYY-MM-DD
**康复时长**: X天
**当前阶段**: 第X阶段 - 阶段名称
## 1. 康复进展摘要
[整体进展评价：优秀/良好/一般/需改进]
- 康复时长：X天（第X周）
- 完成训练：X次
- 训练依从性：X%
- 当前阶段进展：X%
## 2. 功能改善趋势
### 关节活动度（ROM）
- [关节名] [活动类型]: 基线X° → 当前X° → 改善X°
- 改善速率：X°/周
- 达到目标时间预估：X周
- 趋势分析：[改善趋势描述]
### 肌力评估
- [肌群名]: 基线X/5 → 当前X/5 → 改善X级
- 肌力提升模式：[描述]
- 肌力平衡：[评估]
### 平衡功能
- [测试类型]: 基线X → 当前X → 改善X
- 平衡稳定性：[评估]
- 跌倒风险：[评估]
## 3. 疼痛控制情况
- 平均疼痛水平：X/10
- 疼痛趋势：[改善/稳定/加重]
- 疼痛模式：[描述]
- 触发因素：[识别出的触发因素]
- 疼痛控制建议：[建议]
## 4. 训练依从性
- 整体依从性：X%
- 计划训练：X次
- 实际训练：X次
- 依从性评价：[优秀/良好/一般/需改进]
- 缺训原因分析：[如有]
## 5. 目标达成情况
### 已达成目标（X个）
- 目标1：[描述] - 达成日期：YYYY-MM-DD
- ...
### 进行中目标（X个）
- 目标1：[描述] - 当前进度：X% - 预计达成：YYYY-MM-DD
- ...
### 滞后目标（X个）
- 目标1：[描述] - 当前进度：X% - 需要关注
## 6. 康复阶段进展
**当前阶段**: 第X阶段 - [阶段名称]
- 阶段目标完成：X/X
- 阶段进度：X%
- 阶段持续时间：X周
- **阶段评价**: [评价]
**是否准备好进入下一阶段**: [是/否]
- [准备好的理由] / [需要继续努力的项目]
## 7. 个性化建议
### 训练建议
- [具体训练建议]
### 目标调整建议
- [目标调整建议]
### 阶段转换建议
- [阶段转换建议]
### 注意事项
- [需要注意的事项]
## 8. 下次评估
**下次评估日期**: YYYY-MM-DD
**评估重点**: [重点评估项目]
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 · 637 lines · 32 tokens per session scan A 5937a21544c0
rehabilitation-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (948 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 4,661 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.
Other skills, from other repositories
lab-report-walkthrough
Walk a person through their lab report — read the original document, organize results by panel, flag out-of-range values against the printed reference ranges, compare with their history, and explain in plain language. Use when the user uploads a lab report (PDF/image) or asks what their blood test results mean.
Longevity Protocol
Assembles an evidence-tiered weekly longevity routine across the four pillars with the strongest healthspan data - sleep, zone 2 aerobic work, strength training, and dietary pattern - plus stress and connection, delivered as a filled weekly template with honest evidence labels. Use when someone asks "build me a…
Mobility Routine
Builds a 10-15 minute daily floor-based mobility routine for desk workers, targeting the four zones sitting predictably stiffens - hips, thoracic spine, shoulders/neck, and ankles - with exact holds, reps, and a sequenced routine card. Use when someone says "I'm stiff from sitting all day", "my hips are tight", "fix…
Nutrition Planner
Sets personal nutrition targets - protein at 1.6-2.2 g/kg, a calorie budget from goal and activity, fiber and hydration floors - and a repeatable meal structure with a review-and-adjust protocol for fat loss, muscle gain, or maintenance. Use when someone asks "how much protein should I eat", "set my macros for a cut"…
pilot-service-agents-health
Public-health and biomedical APIs — ClinicalTrials.gov, openFDA, CDC, WHO, ClinVar, DailyMed, disease.sh. Use this skill when: 1. Searching active/past clinical trials by condition, sponsor, phase 2. Drug label, adverse-event, or interaction lookups (openFDA, DailyMed) 3. COVID / epidemiological stats, WHO global…
apple-health
Unofficial Apple Health export MCP for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Apple Health data or actions through an agent.