Agent skill

Amemo Find Data

by LeoYeAI in LeoYeAI/openclaw-master-skills

当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。

MITAuto-check passed

Install Amemo Find Data

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/amemo-skill/modules/amemo-find-data .claude/skills/amemo-find-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
amemo-find-data
GitHub stars
2.2k
Token cost
~733 tokens
SKILL.md length
81 words
Files
1
Skills in repo
972
Repo updated
First seen
Licence
MIT

At a glance

当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。

  • SKILL.md covers 接口信息, 请求参数, 请求示例 and 响应示例, plus 3 more sections
  • Calls curl; reaches skill.amemo.cn

What it does

Amemo Find Data is an agent skill from LeoYeAI/openclaw-master-skills. 当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

Example prompts

  • “/amemo-find-data”

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • skill.amemo.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Amemo Find Data loads about 733 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 81 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~733

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 81 words, ~733 tokens.

Download SKILL.mdSave it as .claude/skills/amemo-find-data/SKILL.md (or your agent's skills folder).
name
amemo-find-data
description
当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。

amemo-find-data — 查询数据


接口信息

属性值
路由POST https://skill.amemo.cn/find-data
BeanDataBean
Content-Typeapplication/json

请求参数

⚠️ 服务端要求所有字段必须存在。userToken 和 dataType 必填且有值,不可传 null。

参数类型必填说明
userTokenstr✅用户登录凭证
dataTypestr✅数据类型(步数/睡眠/血氧/血压/心率/消耗,不能为空)

请求示例

bash
# 按类型查询
curl -X POST https://skill.amemo.cn/find-data \
  -H "Content-Type: application/json" \
  -d '{"userToken": "<token>", "dataType": "步数"}'

响应示例

json
{
  "code": 200,
  "desc": "success",
  "data": [...]
}

执行流程(由主模块调度)

数据类型映射(6大类)
关键词dataType 参数值
步数步数
睡眠睡眠
血氧血氧
血压血压
心率心率
消耗消耗

关键词提取与匹配规则

提取示例:

用户输入匹配结果
"查看我的步数数据"步数
"查找我的睡眠记录"睡眠
"心率数据怎么样"心率
"消耗卡路里"消耗

未匹配示例:

用户输入匹配结果
"查看我的体重数据"❌ 不匹配6大类
"查找我的血糖数据"❌ 不匹配6大类

执行步骤
1. 识别触发词(查看/查找/搜索 + 我的 + XXX + 数据)
    ↓
2. 检查 userToken 是否存在
    ├── 无 token → 引导登录流程
    ↓
3. 提取数据类型关键词
    ├── 去除:查看、查找、搜索、我的、数据、怎么样
    ├── 匹配6大类型
    ↓
4. 匹配判断
    ├── 不匹配 → 告知用户暂无可用数据类型
    ↓
5. 调用 POST /find-data 接口
    ↓
6. 数据总结输出(按对应模板格式化)

数据总结模板

📊 步数 (steps)
markdown
**📊 步数数据**

> 今日: {latest_steps} 步 · 目标: {percentage}%
> 趋势: {trend} 比昨日 {diff} 步

| 日期 | 步数 | 进度 |
|:-----|:----:|:-----|
| {date1} | {steps1} | {bar1} |
| {date2} | {steps2} | {bar2} |
😴 睡眠 (sleep)
markdown
**😴 睡眠数据**

> 昨晚: {duration} · 质量: {quality_star}
> 入睡: {bedtime} · 起床: {wakeup}

| 日期 | 时长 | 入睡 | 起床 |
|:-----|:----:|:----:|:----:|
| {date1} | {dur1} | {bt1} | {wu1} |
| {date2} | {dur2} | {bt2} | {wu2} |
🩸 血氧 (oxygen)
markdown
**🩸 血氧数据**

> 最近: {latest_oxygen}% · 状况: {status}
> 平均: {avg_oxygen}%

| 日期 | 血氧 | 状况 |
|:-----|:----:|:-----|
| {date1} | {oxy1}% | {stat1} |
| {date2} | {oxy2}% | {stat2} |
❤️ 血压 (blood_pressure)
markdown
**❤️ 血压数据**

> 最近: {latest} mmHg · 状况: {status}
> 平均: {avg} mmHg

| 日期 | 高压 | 低压 | 状况 |
|:-----|:----:|:----:|:-----|
| {date1} | {sys1} | {dia1} | {stat1} |
| {date2} | {sys2} | {dia2} | {stat2} |
💓 心率 (heart_rate)
markdown
**💓 心率数据**

> 最近: {latest_hr} bpm · 范围: {range}
> 平均: {avg_hr} bpm

| 日期 | 心率 | 状况 |
|:-----|:----:|:-----|
| {date1} | {hr1} | {stat1} |
| {date2} | {hr2} | {stat2} |
🔥 卡路里消耗 (calorie)
markdown
**🔥 卡路里消耗**

> 今日: {latest_cal} kcal · 目标: {percentage}%
> 平均: {avg_cal} kcal

| 日期 | 消耗 | 进度 |
|:-----|:----:|:-----|
| {date1} | {cal1} | {bar1} |
| {date2} | {cal2} | {bar2} |

无数据时回复

markdown
> 📭 暂无「{关键词}」数据
>
> 支持查询:
> 步数 · 睡眠 · 血氧 · 血压 · 心率 · 消耗

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/amemo-skill/modules/amemo-find-data of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Amemo Find Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Amemo Find Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Amemo Find Data this skillLeoYeAI/openclaw-master-skills2.2k—~733Automated safety check: PassMIT
Prompt Optimizeraffaan-m/ECC275k2 repos~2.4kAutomated safety check: PassMIT
Zsxq Replyitwanger/toBeBetterJavaer18k—~979Automated safety check: PassNone
Video Syncitwanger/toBeBetterJavaer18k—~445Automated safety check: PassNone
Generate StoryboardArcReel/ArcReel5.4k—~816Automated safety check: PassAGPL-3.0
Good Askdigoal/blog8.6k—~723Automated safety check: PassGPL-2.0

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Questions about Amemo Find Data

What does Amemo Find Data do?

当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。. Amemo Find Data is an agent skill from LeoYeAI/openclaw-master-skills.

How do I install Amemo Find Data in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a claude-code`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-data in LeoYeAI/openclaw-master-skills) into .claude/skills/amemo-find-data in your project. Claude Code loads it when a task matches its description.

How do I install Amemo Find Data in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a codex`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-data in LeoYeAI/openclaw-master-skills) into .agents/skills/amemo-find-data in your project. Codex loads it when a task matches its description.

Can I use Amemo Find Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/amemo-find-data, .gemini/skills/amemo-find-data, .github/skills/amemo-find-data and .opencode/skills/amemo-find-data in your project.

What does Amemo Find Data need to run?

Going by SKILL.md and its folder, Amemo Find Data needs the command-line tools its instructions call (curl).

Does Amemo Find Data access the network?

SKILL.md names 1 domain. In commands or code: skill.amemo.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Amemo Find Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Amemo Find Data use?

Amemo Find Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Amemo Find Data use?

About 733 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Amemo Find Data?

Skills that share tags, products or a category with Amemo Find Data: Prompt Optimizer (affaan-m/ECC, 275k stars), Zsxq Reply (itwanger/toBeBetterJavaer, 18k stars), Video Sync (itwanger/toBeBetterJavaer, 18k stars) and Generate Storyboard (ArcReel/ArcReel, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Amemo Find Data?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.