Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add malue-ai/dazee-small --skill calorie-countergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/calorie-counter)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/calorie-counter"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/calorie-counter/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/malue-ai/dazee-small/calorie-counter"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/calorie-counter.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 | $0.00024 | $0.00788 |
| Opus 5 | $0.00012 | $0.00394 |
| Sonnet 5 | $0.00005 | $0.00158 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
calorie-counter 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.
What it actually says
卡路里追踪
帮助用户记录每日饮食摄入，追踪卡路里和蛋白质，生成饮食报告。数据保存在本地。
使用场景
- 用户说「记一下午餐吃了什么」「刚吃了一碗米饭和炒鸡蛋」
- 用户说「今天还能吃多少卡路里」「我的蛋白质够了吗」
- 用户说「看看这周的饮食报告」
- 用户说「设置每日目标 1800 卡」
执行方式
数据存储
在用户数据目录维护 ~/Documents/xiaodazi/calories.json：
{
"goals": {
"daily_calories": 2000,
"daily_protein_g": 60
},
"logs": {
"2026-02-26": {
"meals": [
{
"time": "08:30",
"meal": "早餐",
"items": [
{"name": "全麦面包 2片", "calories": 160, "protein": 6},
{"name": "鸡蛋 1个", "calories": 70, "protein": 6},
{"name": "牛奶 250ml", "calories": 150, "protein": 8}
]
}
],
"total_calories": 380,
"total_protein": 20
}
}
}
食物热量估算
用户描述食物后，基于通用营养数据库估算热量：
| 常见食物 | 热量 (kcal) | 蛋白质 (g) |
|---|---|---|
| 米饭 1碗 (200g) | 230 | 4 |
| 鸡胸肉 100g | 165 | 31 |
| 鸡蛋 1个 | 70 | 6 |
| 苹果 1个 | 95 | 0.5 |
| 牛奶 250ml | 150 | 8 |
估算时说明是「估算值」，建议用户根据实际份量调整。
记录流程
用户：午餐吃了一碗米饭、红烧肉、炒青菜
→ 估算：米饭 230 + 红烧肉 350 + 炒青菜 50 = 630 kcal
→ 记录到今日日志
→ 回复：午餐已记录 ✅ 约 630 kcal
→ 今日累计：1010 / 2000 kcal，还剩 990 kcal
周报模板
## 饮食周报（2/19 - 2/25）
| 日期 | 卡路里 | 蛋白质 | 达标 |
|---|---|---|---|
| 周一 | 1850 | 65g | ✅ |
| 周二 | 2200 | 55g | ⚠️ 超标 |
| ... | ... | ... | ... |
平均每日：1950 kcal / 62g 蛋白质
输出规范
- 记录后立即显示当日剩余额度
- 超标时温和提醒，不批评
- 估算值标注为「约」，不给出虚假精确度
- 数据始终本地存储，不上传
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 · 99 lines · 24 tokens per session scan A fcb7b045248a
calorie-counter is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 788 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 2026-08-31.
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