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 workout-loggergit 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/workout-logger)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/workout-logger"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/workout-logger/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/workout-logger"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/workout-logger.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 | $0.00021 | $0.00791 |
| Opus 5 | $0.00010 | $0.00396 |
| Sonnet 5 | $0.00004 | $0.00158 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
workout-logger 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
健身记录
帮助用户记录运动和锻炼,追踪进步,生成健身报告。数据保存在本地。
使用场景
- 用户说「记录今天的运动」「跑了 5 公里」
- 用户说「今天做了卧推 60kg 3组」
- 用户说「这周运动了几次」「看看我的运动记录」
- 用户说「我的深蹲进步了多少」
执行方式
数据存储
在用户数据目录维护 ~/Documents/xiaodazi/workouts.json:
{
"logs": {
"2026-02-26": [
{
"type": "strength",
"exercises": [
{"name": "卧推", "sets": [{"weight": 60, "reps": 8}, {"weight": 60, "reps": 8}, {"weight": 55, "reps": 10}]},
{"name": "深蹲", "sets": [{"weight": 80, "reps": 6}, {"weight": 80, "reps": 6}]}
],
"duration_min": 45,
"notes": "状态不错"
}
],
"2026-02-25": [
{
"type": "cardio",
"activity": "跑步",
"distance_km": 5.2,
"duration_min": 28,
"pace": "5:23/km"
}
]
}
}
记录流程
力量训练:
用户:今天卧推 60kg 做了 3 组,每组 8 个
→ 记录:卧推 60kg × 8 × 3 组
→ 回复:卧推已记录 ✅ 60kg × 8 × 3
→ 对比上次:上次 55kg × 8,进步了 5kg 💪
有氧运动:
用户:刚跑了 5 公里,用了 28 分钟
→ 记录:跑步 5km / 28min / 配速 5:36/km
→ 回复:跑步已记录 ✅ 5km 28分钟(配速 5:36/km)
周报模板
## 运动周报(2/19 - 2/25)
本周运动 **4 次**,总时长 **160 分钟**
| 日期 | 类型 | 内容 | 时长 |
|---|---|---|---|
| 周一 | 力量 | 胸+三头 | 50min |
| 周三 | 有氧 | 跑步 5km | 28min |
| 周五 | 力量 | 背+二头 | 55min |
| 周六 | 有氧 | 跑步 6km | 32min |
### PR 记录(个人最佳)
- 卧推:60kg × 8(+5kg ↑)
- 跑步 5km:28:00(-1:30 ↓)
输出规范
- 记录后简洁确认,对比上次数据
- 有进步时积极鼓励
- 长时间未运动时温和提醒,不施压
- 自动计算配速、组间容量等衍生指标
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 · 98 lines · 21 tokens per session scan A f435b342e97f
workout-logger is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 791 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 2026-09-03.
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