Agent Browser
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
“分析康复训练数据、识别康复模式、评估康复进展，并提供个性化康复建议”
Install Rehabilitation Analyzer
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rehabilitation-analyzer .claude/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .claude/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/rehabilitation-analyzer .agents/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .agents/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/rehabilitation-analyzer .cursor/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .cursor/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/huifer/WellAlly-health.git --path skills/rehabilitation-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/rehabilitation-analyzer .gemini/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .gemini/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/rehabilitation-analyzer .github/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .github/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huifer/WellAlly-health rehabilitation-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/rehabilitation-analyzer .opencode/skills/rehabilitation-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "rehabilitation-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/rehabilitation-analyzer into .opencode/skills/rehabilitation-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rehabilitation-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
rehabilitation-analyzer- GitHub stars
- 960
- Used in
- 3 other repos
- Token cost
- ~1.9k tokens
- SKILL.md length
- 278 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
- Works in 5 steps: 改善趋势分析 → 疼痛时序分析 → 依从性计算 → …
- SKILL.md covers 核心功能, 触发条件, 执行步骤 and 输出格式, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
Rehabilitation Analyzer is a skill in huifer/WellAlly-health (960 stars). Its SKILL.md is about 1.9k tokens, and copies of it appear in 3 other owners' repositories. Licence: MIT.
Requirements
- Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Edit
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit f604350. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Rehabilitation Analyzer loads about 1.9k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 278 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from huifer/WellAlly-health at commit f604350, republished under its MIT licence (© huifer). 278 words, ~1,875 tokens.
Download SKILL.mdSave it as
.claude/skills/rehabilitation-analyzer/SKILL.md (or your agent's skills folder).- name
- rehabilitation-analyzer
- description
- 分析康复训练数据、识别康复模式、评估康复进展，并提供个性化康复建议
- allowed-tools
- Read, Grep, Glob, Write, Edit
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]简要进展报告
## 康复进展简报
📊 **整体进展**: 良好
⏱️ **康复时长**: 第X周（X天）
🎯 **阶段**: 第X阶段 - [阶段名称]
**功能改善**:
- ROM: +X°（改善速率X°/周）✅
- 肌力: 提升X级 ✅
- 平衡: 改善X% ✅
**疼痛控制**: 平均X/10（[趋势]）
**训练依从性**: X%（[评价]）
**目标达成**: X/X（X%）
**当前阶段**: X/X目标完成
**下一阶段准备**: [是/否]
💡 **建议**: [1-2条核心建议]数据源
主数据文件
- 文件路径:
data/rehabilitation-tracker.json - 读取字段:
user_profile- 用户档案和康复基本信息rehabilitation_goals- 康复目标列表exercise_log- 训练日志functional_assessments- 功能评估记录phase_progression- 阶段进展记录pain_diary- 疼痛日记statistics- 统计数据
日志数据文件
- 文件路径:
data/rehabilitation-logs/YYYY-MM/YYYY-MM-DD.json - 读取字段:
daily_summary- 日训练摘要exercise_sessions- 训练详情pain_entries- 疼痛记录assessments- 评估记录notes- 每日备注
分析算法
1. 改善趋势分析
线性回归分析：
使用最小二乘法拟合功能改善趋势
改善速率 = (当前值 - 基线值) / 时间间隔改善模式识别：
- 线性改善：稳定持续改善
- 阶梯式改善：平台期后快速改善
- 平台期：改善停滞
- 倒退：功能下降（需要关注）
2. 疼痛时序分析
移动平均计算：
7日移动平均疼痛 = sum(近7天疼痛) / 7疼痛趋势判断：
- 改善：疼痛评分下降≥20%
- 稳定：疼痛评分变化<20%
- 加重：疼痛评分上升≥20%
3. 依从性计算
总体依从性 = (实际训练天数 / 计划训练天数) × 100%
训练类型依从性 = (某类型实际完成 / 某类型计划完成) × 100%依从性评价：
- 优秀：≥90%
- 良好：75-89%
- 一般：60-74%
- 需改进：<60%
4. 目标达成预测
线性外推：
预测时间 = 当前日期 + ((目标值 - 当前值) / 改善速率)考虑因素：
- 近期改善速率
- 平台期历史
- 训练依从性
5. 阶段转换准备度评估
准备度评分：
准备度 = (已达成阶段目标数 / 阶段目标总数) × 100%
准备度 ≥ 80%: 建议进入下一阶段
准备度 60-79%: 可考虑进入下一阶段，需谨慎
准备度 < 60%: 建议继续当前阶段安全与隐私
数据安全原则
本地存储
- 所有康复数据仅存储在用户本地设备
- 不上传至任何云端服务器
- 不与第三方共享数据
隐私保护
- 个人健康信息严格保密
- 数据文件不包含个人身份信息
- 用户完全控制数据访问权限
数据完整性
- 原始数据不被修改
- 分析结果基于真实数据
- 支持数据导出和备份
医学安全边界
系统不能做的事：
- ❌ 不提供具体康复训练处方
- ❌ 不替代康复师专业指导
- ❌ 不诊断损伤或并发症
- ❌ 不调整康复阶段计划
- ❌ 不预测康复预后时间
- ❌ 不处理急性疼痛或损伤
系统能做的事：
- ✅ 提供数据分析和趋势识别
- ✅ 提供进展追踪和目标管理
- ✅ 提供一般性康复建议
- ✅ 提供专业康复就医提醒
- ✅ 记录训练和评估数据
- ✅ 生成康复进展报告
重要提示：
- 所有康复训练计划应遵循康复师指导
- 任何疼痛加重或功能倒退应及时就医
- 定期专业评估是康复成功的关键
- 系统建议仅供参考，不替代专业判断
错误处理
数据读取错误
错误类型1：文件不存在
错误信息: "未找到康复数据文件，请先使用 /rehab start 开始康复追踪"
处理建议: 引导用户开始康复记录错误类型2：数据不足
错误信息: "数据不足，至少需要3次功能评估或10天训练记录才能生成分析报告"
当前数据: X次评估，X天训练记录
处理建议: 建议用户继续记录更多数据错误类型3：数据结构错误
错误信息: "数据文件结构异常，请检查数据完整性"
处理建议: 建议用户重新初始化康复档案分析过程错误
错误类型：计算异常
错误信息: "数据分析过程中出现异常，请稍后重试"
处理建议: 记录错误日志，提供基础数据展示输出生成错误
错误类型：报告生成失败
错误信息: "报告生成失败，请尝试简化查询条件或联系技术支持"
处理建议: 提供简化版报告或原始数据导出使用示例
示例1：查看康复进展
用户输入：
/rehab progress技能执行：
- 读取 rehabilitation-tracker.json
- 读取近30天的康复日志
- 分析功能改善趋势
- 计算训练依从性
- 评估目标达成情况
- 生成进展报告
输出：
# 康复进展报告
## 康复进展摘要
📊 整体进展: 良好
⏱️ 康复时长: 第6周（36天）
🎯 当前阶段: 第3阶段 - 强化期
## 功能改善
- 膝关节屈曲: 30° → 120° (+90°) ✅
- 膝关节伸直: -10° → 0° (+10°) ✅
- 股四头肌肌力: 3/5 → 4/5 (提升1级) ✅
- 单腿站立: 5秒 → 30秒 (+25秒) ✅
## 疼痛控制
- 平均疼痛: 1.5/10（良好控制）
- 疼痛趋势: 稳定 ✅
## 训练依从性: 92%（优秀）
## 目标达成: 8/14（57%）
- ✅ 已达成: 8个
- 🔄 进行中: 5个
- ⚠️ 滞后: 1个
## 阶段进展
第3阶段进度: 2/5目标完成（40%）
下一阶段准备: 需要继续努力
💡 建议: 继续当前训练强度，重点关注股四头肌强化训练示例2：分析功能改善趋势
用户输入：
/rehab trends rom技能执行：
- 提取所有ROM评估记录
- 绘制ROM改善曲线（文字描述）
- 计算改善速率
- 预测达到目标时间
- 识别改善模式
输出：
# 关节活动度（ROM）趋势分析
## 膝关节屈曲
📈 改善趋势: 良好
时间线:
- 5/15: 30° (基线)
- 5/30: 70° (+40°)
- 6/15: 100° (+30°)
- 6/20: 120° (+20°)
改善速率: 8.6°/周
目标: 135°
预计达成: 2025-08-01（还需2周）
趋势: 持续改善 ✅
## 膝关节伸直
✅ 已达成目标
时间线:
- 5/15: -10° (基线)
- 6/10: 0° (达成目标) ✅
- 6/20: 0° (维持)
改善速率: 2.5°/周
目标: 0°
达成日期: 2025-06-10
趋势: 维持目标 ✅
## 建议
- 膝关节屈曲进展良好，继续保持
- 注意伸直维持训练，避免屈曲挛缩
- 预计2周内可达到屈曲目标示例3：评估疼痛模式
用户输入：
/rehab analysis pain技能执行：
- 提取所有疼痛记录
- 分析疼痛时序变化
- 识别疼痛触发因素
- 评估疼痛控制效果
输出：
# 疼痛模式分析
## 疼痛趋势
📉 总体趋势: 改善中
- 基线疼痛: 5/10
- 当前疼痛: 2/10
- 改善: 3分（60%改善）✅
## 时序模式
- 晨起疼痛: 1/10（轻度）
- 活动后疼痛: 2/10（轻度）
- 休息时疼痛: 0/10（无痛）
## 触发因素识别
- 主要触发因素: 延长坐姿、上下楼梯
- 疼痛加剧活动: 下楼梯、深蹲
- 缓解因素: 休息、冰敷、抬高
## 训练相关疼痛
- 训练时平均疼痛: 1.2/10（安全范围）
- 训练后疼痛: 2/10（快速缓解）
- 训练依从性不受疼痛影响 ✅
## 建议
- 疼痛控制良好，继续当前训练强度
- 注意训练后休息和冰敷
- 避免疼痛加剧活动（深蹲、下楼梯）
- 如疼痛>4/10，及时就医评估相关性分析
与运动模块关联
关联分析：
- 康复训练与运动能力恢复的关联
- 康复训练强度与心率变化的关系
- 功能改善与日常活动量的关联
示例：
用户使用 /rehab analysis correlation fitness
技能读取:
- rehabilitation-tracker.json
- fitness-tracker.json
- 分析康复训练与运动指标的相关性与睡眠模块关联
关联分析：
- 训练强度与睡眠质量的关系
- 疼痛水平与睡眠时长的关系
- 恢复期睡眠需求分析
与用药模块关联
关联分析：
- 止痛药使用趋势
- 用药与训练强度的关系
- 疼痛控制与用药依从性
使用示例
场景1：新用户开始康复
用户: /rehab start acl-surgery 2025-05-01
系统: 初始化康复档案，设置基础目标，提供初始建议
技能: rehabilitation-analyzer（可选，用于初步评估）场景2：记录每日训练
用户: /rehab exercise slr 3x15 pain2
系统: 记录训练数据，更新训练日志
技能: 不触发（仅记录）场景3：查看进展报告
用户: /rehab progress
系统: 调用 rehabilitation-analyzer 技能
技能: 完整分析，生成进展报告场景4：分析特定功能
用户: /rehab trends rom
系统: 调用 rehabilitation-analyzer 技能
技能: ROM专项分析，生成趋势报告场景5：评估疼痛模式
用户: /rehab analysis pain
系统: 调用 rehabilitation-analyzer 技能
技能: 疼痛专项分析，识别模式和触发因素技能版本: v1.0 最后更新: 2026-01-06 维护者: WellAlly Tech
© huifer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/rehabilitation-analyzer of huifer/WellAlly-health.
Open the folder on GitHubat commit f604350
Used in 3 other repositories
We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in huifer/WellAlly-health, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Rehabilitation Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Rehabilitation Analyzer this skillhuifer/WellAlly-health | 960 | 3 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Agent Browserquran/quran.com-frontend-next | 1.9k | 40 repos | ~3.3k | Automated safety check: Pass | None | |
| Dependency Watchtelegramdesktop/tdesktop | 33k | 1 repos | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Perform Tasktelegramdesktop/tdesktop | 33k | 2 repos | ~3k | Automated safety check: Pass | GPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 5 repos | ~592 | Automated safety check: Pass | MIT | |
| Garden Inboxpaperclipai/paperclip | 100k | — | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Rehabilitation Analyzer
How do I install Rehabilitation Analyzer in Claude Code?
Run `npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a claude-code`. Or copy the skill folder (skills/rehabilitation-analyzer in huifer/WellAlly-health) into .claude/skills/rehabilitation-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Rehabilitation Analyzer in Codex?
Run `npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a codex`. Or copy the skill folder (skills/rehabilitation-analyzer in huifer/WellAlly-health) into .agents/skills/rehabilitation-analyzer in your project. Codex loads it when a task matches its description.
Can I use Rehabilitation Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add huifer/WellAlly-health --skill rehabilitation-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rehabilitation-analyzer, .gemini/skills/rehabilitation-analyzer, .github/skills/rehabilitation-analyzer and .opencode/skills/rehabilitation-analyzer in your project.
What does Rehabilitation Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Rehabilitation Analyzer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit.
Does Rehabilitation Analyzer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Rehabilitation Analyzer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Rehabilitation Analyzer use?
Rehabilitation Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Rehabilitation Analyzer use?
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Rehabilitation Analyzer?
Skills that share tags, products or a category with Rehabilitation Analyzer: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rehabilitation Analyzer?
huifer (a GitHub user) maintains it in huifer/WellAlly-health, which has 960 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 16, 2026.
Source: huifer/WellAlly-health on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.