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/weightloss-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/weightloss-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/weightloss-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/weightloss-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/weightloss-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/weightloss-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 | $0.00026 | $0.02709 |
| Opus 5.5 | $0.00010 | $0.01084 |
| Sonnet 5.5 | $0.00005 | $0.00542 |
| Haiku 4.5 | $0.00003 | $0.00271 |
Grade A, and why
weightloss-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 1mo 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
减肥分析技能
分析减肥数据，计算代谢率，追踪能量缺口，管理减肥阶段。
功能
1. 身体成分分析
BMI计算与分类
- BMI = 体重(kg) / 身高(m)²
- 分类标准（WHO亚洲标准）：
- 偏瘦：BMI < 18.5
- 正常：18.5 ≤ BMI < 24
- 超重：24 ≤ BMI < 28
- 肥胖：BMI ≥ 28
体脂率评估
- 男性：15-20%（正常），20-25%（偏高），>25%（肥胖）
- 女性：20-25%（正常），25-30%（偏高），>30%（肥胖）
围度分析
- 腰围评估
- 男性：< 90cm（正常），≥ 90cm（腹部肥胖）
- 女性：< 85cm（正常），≥ 85cm（腹部肥胖）
- 腰臀比
- 男性：< 0.9（正常），≥ 0.9（腹部肥胖）
- 女性：< 0.85（正常），≥ 0.85（腹部肥胖）
理想体重计算
- BMI法：理想体重 = 身高(m)² × 22
- Broca法修正：理想体重 = (身高cm - 100) × 0.9
2. 代谢率计算
Harris-Benedict公式（1919原始版）
- 男性：BMR = 88.362 + (13.397 × 体重kg) + (4.799 × 身高cm) - (5.677 × 年龄)
- 女性：BMR = 447.593 + (9.247 × 体重kg) + (3.098 × 身高cm) - (4.330 × 年龄)
Mifflin-St Jeor公式（推荐，更准确）
- 男性：BMR = (10 × 体重kg) + (6.25 × 身高cm) - (5 × 年龄) + 5
- 女性：BMR = (10 × 体重kg) + (6.25 × 身高cm) - (5 × 年龄) - 161
Katch-McArdle公式（基于瘦体重）
- BMR = 370 + (21.6 × 瘦体重kg)
- 瘦体重 = 体重kg × (1 - 体脂率)
TDEE计算
- TDEE = BMR × 活动系数
- 活动系数：
- 久坐：1.2
- 轻度活动：1.375
- 中度活动：1.55
- 高度活动：1.725
- 非常高度活动：1.9
3. 能量缺口管理
每日能量缺口追踪
- 缺口 = TDEE - 实际摄入 + 运动消耗
- 缺口达标分析：实际缺口 vs 目标缺口
减重估算
- 1kg脂肪 ≈ 7700大卡
- 预计周减重 = 每日缺口 × 7 / 7700
- 安全减重速度：0.5-1kg/周（缺口500-1000大卡/天）
热量安全边界
- 男性最低热量：1500大卡/天
- 女性最低热量：1200大卡/天
- 绝对最低：BMR × 1.2
4. 阶段管理
减重期
- 追踪体重变化
- 计算减重进度
- 监测减重速度
平台期检测
- 定义：2周以上体重无明显变化（波动<0.5kg）
- 原因分析：代谢适应、水分滞留、肌肉增加
- 突破方法：调整热量、改变运动、间歇性断食
维持期
- 目标体重±2kg范围内
- 定期监测体重
- 及时调整方案
数据源
主要数据源
-
健身追踪器
- 路径：
data/fitness-tracker.json - 内容：体重记录、身体成分、代谢率、阶段管理
- 路径：
-
营养追踪器
- 路径：
data/nutrition-tracker.json - 内容：热量摄入、能量缺口、膳食计划
- 路径：
-
健康日志
- 路径：
data/health-logs/YYYY-MM/YYYY-MM-DD.json - 内容：每日体重、饮食记录
- 路径：
输出格式
身体成分分析报告
# 身体成分分析报告
## 基本信息
- 性别：男
- 年龄：52岁
- 身高：175cm
- 体重：75kg
## 身体指标
### BMI
- 当前BMI：24.5
- 分类：超重
- 理想体重：67kg（BMI=22）
- 需减重：8kg
### 体脂率
- 当前体脂率：25%
- 分类：偏高
- 目标体脂率：15-20%
### 围度分析
- 腰围：92cm（腹部肥胖风险）
- 臀围：98cm
- 腰臀比：0.94（腹部肥胖）
## 建议
1. 每周减重0.5-1kg
2. 目标减重时间：8-16周
3. 综合干预：饮食+运动
代谢率分析报告
# 代谢率分析报告
## BMR计算
| 公式 | BMR | 说明 |
|------|-----|------|
| Harris-Benedict | 1650 | 1919原始公式 |
| Mifflin-St Jeor | 1620 | 推荐使用 ⭐ |
| Katch-McArdle | 1700 | 基于体脂率 |
**推荐BMR：1620 大卡/天**
## TDEE计算
- 活动水平：中度运动
- 活动系数：1.55
- TDEE：1620 × 1.55 = **2511 大卡/天**
### 热量分配
- BMR基础代谢：65% ≈ 1632 大卡
- 运动消耗：20% ≈ 502 大卡
- NEAT日常活动：15% ≈ 377 大卡
## 减肥热量目标
### 温和减重方案
- 每日缺口：500 大卡
- 目标摄入：2011 大卡/天
- 预计减重：0.5kg/周
### 积极减重方案
- 每日缺口：750 大卡
- 目标摄入：1761 大卡/天
- 预计减重：0.75kg/周
### 快速减重方案
- 每日缺口：1000 大卡
- 目标摄入：1511 大卡/天
- 预计减重：1kg/周
- ⚠️ 仅限短期使用
## 安全检查
- 最低热量要求：1500 大卡/天（男性）
- 快速方案热量：1511 大卡/天 ✅
- 建议选择：温和或积极方案
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.
- 1mo ago First seen · 321 lines · 26 tokens per session scan A 483c4e837aad
weightloss-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (963 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 2,709 once invoked, about $0.0001 per session on Opus 5.5. 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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