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 agentmods add skills/tencentcloudbase/awesome-miniprogram-skills/water-trackernpx skills add TencentCloudBase/awesome-miniprogram-skills --skill water-trackergit clone --depth 1 https://github.com/TencentCloudBase/awesome-miniprogram-skillsWrote 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/tencentcloudbase/awesome-miniprogram-skills/water-tracker)<a href="https://agentmods.dev/skills/tencentcloudbase/awesome-miniprogram-skills/water-tracker"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/awesome-miniprogram-skills/water-tracker.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00293 |
| Opus 5 | $0.00009 | $0.00147 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
water-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 6d 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
喝水记录
记录每日饮水并查看近期喝水情况的能力集合。
触发场景
用户原话举例（路由命中本技能）：
- "我刚喝了 250 毫升水，帮我记一下"
- "记录一杯 300ml 的水"
- "今天喝了多少水了"
- "看下我最近几天的喝水情况"
- "帮我回顾一下今天的饮水记录"
不适用范围
- 饮食营养建议、疾病诊断、医疗用水建议 → 不在本技能范围
- 运动、睡眠、体重等健康数据记录 → 不在本技能范围
前置条件
- 需要用户从小程序 AI 场景调用，以便获取当前用户身份。
- 当前 mock 数据源已开启；切回真实接口后需要小程序云开发环境可用。
使用顺序
- 记录喝水时需要先知道本次喝水毫升数。
- 查看记录可直接进行，默认查看近期记录和今日明细。
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- apis/addWaterRecord.js 1.4 KB runs code
- apis/getWaterRecords.js 1.4 KB runs code
- cloudbaserc.json 952 B
- cloudfunctions/water-tracker-handler/index.js 3.7 KB runs code
- cloudfunctions/water-tracker-handler/package.json 137 B
- components/add-water-result/index.js 2.5 KB runs code
- components/add-water-result/index.json 49 B
- components/add-water-result/index.wxml 612 B
- components/add-water-result/index.wxss 1.9 KB
- components/water-records/index.js 2.5 KB runs code
- components/water-records/index.json 49 B
- components/water-records/index.wxml 1010 B
- components/water-records/index.wxss 2.6 KB
- index.js 509 B runs code
- mcp.json 5.2 KB
- mp-skills.json 154 B
- placeholder/index.js 10 B runs code
- placeholder/index.json 43 B
- placeholder/index.wxml 34 B
- placeholder/index.wxss 82 B
- README.md 2.0 KB
- utils/util.js 6.7 KB runs code
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.
- 6d ago First seen · 32 lines · 18 tokens per session scan A ca6d09065edc
water-tracker is a skill published in the GitHub repository TencentCloudBase/awesome-miniprogram-skills (35 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 293 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.
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