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 habit-trackergit 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/habit-tracker)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/habit-tracker"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/habit-tracker/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/habit-tracker"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/habit-tracker.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 | $0.00689 |
| Opus 5 | $0.00010 | $0.00345 |
| Sonnet 5 | $0.00004 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
habit-tracker 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
习惯追踪
帮助用户建立和追踪日常习惯，记录连续打卡天数，生成进度报告。数据保存在本地。
使用场景
- 用户说「帮我追踪每天喝水」「我要养成早起的习惯」
- 用户说「今天的习惯打卡」「我坚持了几天了」
- 用户说「看看我这周的习惯完成情况」
- 用户说「添加一个新习惯：每天运动 30 分钟」
执行方式
数据存储
在用户数据目录维护一个 JSON 文件 ~/Documents/xiaodazi/habits.json：
{
"habits": [
{
"id": "drink_water",
"name": "每天喝 8 杯水",
"created_at": "2026-02-01",
"frequency": "daily",
"records": {
"2026-02-25": true,
"2026-02-26": true
},
"current_streak": 2,
"best_streak": 15
}
]
}
核心操作
添加习惯：
用户：帮我追踪每天阅读 30 分钟
→ 创建新习惯条目，设置频率为 daily
打卡：
用户：今天的阅读完成了
→ 记录今日完成，更新连续天数
→ 回复：阅读 ✅ 已连续 5 天！
查看进度：
用户：我的习惯完成得怎么样
→ 生成本周/本月进度报告
进度报告模板
## 习惯周报（2/19 - 2/25）
| 习惯 | 一 | 二 | 三 | 四 | 五 | 六 | 日 | 完成率 |
|---|---|---|---|---|---|---|---|---|
| 阅读 30 分钟 | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | 86% |
| 喝 8 杯水 | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | 86% |
| 运动 | ❌ | ✅ | ❌ | ✅ | ❌ | ✅ | ❌ | 43% |
### 连续打卡
- 🔥 阅读：当前连续 6 天（最佳 15 天）
- 💧 喝水：当前连续 1 天（最佳 22 天）
- 💪 运动：当前连续 0 天（最佳 7 天）
输出规范
- 打卡成功时给予正面反馈和连续天数
- 断签时不批评，鼓励重新开始
- 周报使用表格+图标，直观展示完成情况
- 数据始终保存在本地，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 · 92 lines · 21 tokens per session scan A b30d399c3455
habit-tracker 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 689 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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