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/commands/nutrition.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/commands/huifer/wellally-health/nutrition)<a href="https://agentmods.dev/commands/huifer/wellally-health/nutrition"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/nutrition/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/commands/huifer/wellally-health/nutrition"><img src="https://agentmods.dev/badge/commands/huifer/wellally-health/nutrition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00020 | $0.11029 |
| Opus 5 | $0.00010 | $0.05514 |
| Sonnet 5 | $0.00004 | $0.02206 |
| Haiku 4.5 | $0.00002 | $0.01103 |
Grade A, and why
nutrition 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 12d 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 — 1,176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
营养分析与补充剂管理命令
⚠️ 重要医学免责声明
本系统提供的营养评估、补充剂信息和建议仅供参考，不构成医疗诊断、治疗或营养处方。
本系统能够做到的：
- ✅ 记录和追踪饮食摄入
- ✅ 评估营养素摄入量
- ✅ 识别营养缺乏风险
- ✅ 提供一般性营养建议
- ✅ 记录补充剂使用情况
- ✅ 检查已知的补充剂相互作用
本系统不能做的：
- ❌ 诊断营养缺乏症或营养相关疾病
- ❌ 开具补充剂处方或调整剂量
- ❌ 替代注册营养师或医生的专业建议
- ❌ 处理严重营养不良或营养代谢疾病
- ❌ 评估或处理食物过敏
何时需要就医或咨询营养师：
- 🏥 疑似严重营养缺乏（如坏血病、贫血等）
- 🏥 准备服用新的补充剂，特别是有慢性病或在服用其他药物
- 🏥 出现补充剂不良反应
- 🏥 孕期、哺乳期或准备怀孕
- 🏥 有慢性疾病（肾病、肝病、糖尿病等）
- 🏥 体重异常变化（快速增重或减重）
使用方法
记录饮食
# 快速记录（自然语言）
/nutrition record breakfast 鸡蛋 牛奶 全麦面包
/nutrition record lunch 鸡胸肉沙拉 米饭
/nutrition record dinner 清蒸鱼 青菜 豆腐
# 带时间记录
/nutrition record breakfast 07:30 燕麦粥加香蕉和坚果
/nutrition record lunch 12:00 牛肉面 蔬菜沙拉
# 带卡路里估算
/nutrition record dinner 约600卡 烤鸡胸肉 西兰花 红薯
# 详细记录
/nutrition record snack 下午茶 坚果 酸奶 高蛋白
支持的餐型：
- breakfast（早餐）/ lunch（午餐）/ dinner（晚餐）
- snack（加餐）/ morning_snack（上午加餐）/ afternoon_snack（下午加餐）
- evening_snack（晚间加餐）/ late_night_snack（夜宵）
常见食物示例：
主食类：
- 米饭、面条、馒头、全麦面包、燕麦、糙米
- 红薯、土豆、玉米、山药
蛋白质来源：
- 鸡蛋、牛奶、酸奶、豆腐
- 鸡肉、牛肉、鱼、虾
- 黄豆、黑豆、鹰嘴豆
蔬菜：
- 西兰花、菠菜、胡萝卜、西红柿、黄瓜
- 白菜、芹菜、生菜、青椒、茄子
水果：
- 苹果、香蕉、橙子、草莓、蓝莓
- 猕猴桃、葡萄、西瓜、芒果
健康脂肪：
- 坚果（核桃、杏仁、腰果）
- 牛油果、橄榄油、鱼油
查询食物营养信息
# 查询特定食物营养
/nutrition food 燕麦
/nutrition food 西兰花
/nutrition food 三文鱼
# 搜索食物
/nutrition food search 燕麦
/nutrition food search 高蛋白
/nutrition food search 高纤维 低GI
# 按分类浏览
/nutrition food list grains # 查看谷物类食物
/nutrition food list vegetables # 查看蔬菜类食物
/nutrition food list protein # 查看蛋白质来源
输出示例：
# 燕麦 营养信息
## 基本信息
- **名称**: 燕麦 (Oats)
- **分类**: 谷物类 > 全谷物
- **标准份量**: 100克
## 宏量营养素 (每100克)
- **卡路里**: 389 卡
- **蛋白质**: 16.9g
- **碳水化合物**: 66.3g
- **脂肪**: 6.9g
- **膳食纤维**: 10.6g ✅ 高纤维
## 微量营养素 (每100克)
### 维生素
- 维生素B1 (硫胺素): 0.763 mg (66% RDA)
- 维生素B6: 0.165 mg (13% RDA)
- 叶酸: 56 μg (14% RDA)
### 矿物质
- 镁: 177 mg (44% RDA) ✅
- 磷: 523 mg (75% RDA)
- 锰: 4.916 mg (214% RDA) ✅✅
- 铁: 4.72 mg (37% RDA)
- 锌: 3.97 mg (36% RDA)
## 特殊营养素
- **Omega-3**: 0.685g
- **Omega-6**: 1.428g
- **胆碱**: 43.4mg
## 升糖指数
- **GI值**: 55 (低GI) ✅
- **升糖负荷**: 11
## 健康标签
- ✅ 高纤维
- ✅ 低GI
- ✅ 无麸质选项
- ✅ 心脏健康
## 适用人群
- ✅ 素食者
- ✅ 高血压
- ✅ 糖尿病
- ✅ 高血脂
## 常见份量
- 1/4杯 (30g) - 117 卡
- 1/3杯 (40g) - 156 卡
- 煮熟1杯 (200ml) - 约 100 卡
## 营养优势
1. 富含β-葡聚糖,有助于降低胆固醇
2. 高纤维含量,促进肠道健康
3. 低GI,有利于血糖控制
4. 优质复合碳水化合物来源
## 备注
燕麦是营养密度极高的全谷物,适合作为健康主食。
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.
- 12d ago First seen · 1,176 lines · 20 tokens per session scan A 558d3d11608a
nutrition is a command published in the GitHub repository huifer/WellAlly-health (948 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 11,029 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
health
Run health checks on the Claude orchestration system.
health
Scan all projects for stale research, forgotten ADRs, unresolved review conditions, orphaned artifacts, missing traceability, and version drift.
roster-doctor
Health check and dev-environment pre-flight for the roster install and its build/test/lint tooling.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.