Agent skill

Amemo Last Data

by LeoYeAI in LeoYeAI/openclaw-master-skills

当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用,获取全部类型最新健康数据并生成综合评估报告. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passed

Install Amemo Last Data

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

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills amemo-last-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-last-data .claude/skills/amemo-last-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-last-data
GitHub stars
2.2k
Token cost
~1k tokens
SKILL.md length
169 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用,获取全部类型最新健康数据并生成综合评估报告. An agent skill from LeoYeAI/openclaw-master-skills.

  • SKILL.md covers 接口信息, 请求参数, 请求示例 and 响应示例, plus 2 more sections
  • Calls curl; reaches skill.amemo.cn

What it does

Amemo Last Data is an agent skill from LeoYeAI/openclaw-master-skills. 当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用,获取全部类型最新健康数据并生成综合评估报告。

Its SKILL.md is about 1k 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-last-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 Last Data loads about 1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 169 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
~1k

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). 169 words, ~1,008 tokens.

Download SKILL.mdSave it as .claude/skills/amemo-last-data/SKILL.md (or your agent's skills folder).
name
amemo-last-data
description
当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用,获取全部类型最新健康数据并生成综合评估报告。

amemo-last-data — 查询最新数据

接口信息

请求参数

注意:服务端要求所有字段必须存在。userToken 必填,dataType 可选但字段必须存在(可传 null)。

参数类型必填说明
userTokenstr是用户登录凭证
dataTypestr否数据类型(用于筛选最新记录),不传则传 null

请求示例

bash
# 获取所有类型最新数据(健康简报场景,dataType 传 null)
curl -X POST https://skill.amemo.cn/last-data \
  -H "Content-Type: application/json" \
  -d '{"userToken": "<token>", "dataType": null}'

响应示例

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

注意事项

  • 所有字段必须存在,即使不传值也要传 null
  • 与 amemo-find-data 不同,此接口只返回最新的记录
  • dataType 传 null 则返回所有类型中最新的数据

执行流程(由主模块调度)

执行步骤
1. 识别触发词(健康简报/健康总览/健康情况)
    ↓
2. 检查 userToken 是否存在
    ├── 无 token → 引导登录流程
    ↓
3. 调用接口(dataType 传 null,获取所有类型最新数据)
    ↓
4. 解析返回数据
    ├── 步数:steps, stepGoal
    ├── 睡眠:sleepHours, sleepQuality
    ├── 血氧:oxygen
    ├── 血压:systolic, diastolic
    ├── 心率:heartRate
    └── 消耗:calorie, calorieGoal
    ↓
5. 生成健康简报(按下方模板)
健康简报模板
markdown
## 📋 今日健康简报
_{date}_

---

### 🚶 运动步数
| 指标 | 数值 | 状态 |
|------|------|------|
| 今日步数 | **{steps}** 步 | {step_status} |
| 目标完成 | **{step_percent}%** | {goal_status} |

{step_comment}

---

### 😴 睡眠情况
| 指标 | 数值 | 状态 |
|------|------|------|
| 睡眠时长 | **{sleep_hours}** 小时 | {sleep_status} |
| 睡眠质量 | **{sleep_quality}** | - |

{sleep_comment}

---

### 🩸 血氧水平
| 指标 | 数值 | 状态 |
|------|------|------|
| 血氧饱和度 | **{oxygen}%** | {oxygen_status} |

{oxygen_comment}

---

### ❤️ 血压状况
| 指标 | 数值 | 状态 |
|------|------|------|
| 高压 | **{systolic}** mmHg | {sys_status} |
| 低压 | **{diastolic}** mmHg | {dia_status} |

{blood_pressure_comment}

---

### 💓 心率状况
| 指标 | 数值 | 状态 |
|------|------|------|
| 当前心率 | **{heart_rate}** bpm | {hr_status} |

{heart_rate_comment}

---

### 🔥 卡路里消耗
| 指标 | 数值 | 状态 |
|------|------|------|
| 今日消耗 | **{calorie}** kcal | {cal_status} |
| 目标完成 | **{cal_percent}%** | {goal_status} |

{calorie_comment}

---

## 📊 健康综合评估

{overall_assessment}

{improvement_suggestion}
指标状态判断规则
类型指标正常范围状态判断
步数step_percent≥100% 达标 / 80-99% 接近 / <80% 未达标-
睡眠sleep_hours7-9h 正常 / 6-7h 偏少 / <6h 不足 / >9h 偏多好/一般/差
血氧oxygen≥95% 正常 / 90-94% 偏低 / <90% 危险正常/偏低/危险
血压systolic90-140 / diastolic 60-90正常/偏高/偏低
心率heart_rate60-100 bpm 正常 / <60 偏低 / >100 偏高正常/偏低/偏高
消耗cal_percent≥100% 达标 / 80-99% 接近 / <80% 未达标-
数据解读与评语生成

步数评语生成:

  • 达标(≥100%):🎉 今日步数目标已达成,继续保持!
  • 接近(80-99%):💪 距离目标只差一点点了,再活动活动!
  • 未达标(<80%):🚶 今日运动量较少,建议起身活动一下

睡眠评语生成:

  • 正常(7-9h):😴 睡眠时长良好,身体得到充分休息
  • 偏少(6-7h):😪 睡眠时长略有不足,建议早点入睡
  • 不足(<6h):😫 睡眠严重不足,建议增加睡眠时间
  • 偏多(>9h):😴 睡眠时间较长,可能影响生物钟

血氧评语生成:

  • 正常(≥95%):✅ 血氧水平正常,呼吸系统健康
  • 偏低(90-94%):⚠️ 血氧略低,可能与剧烈运动或环境有关
  • 危险(<90%):🚨 血氧过低,建议就医检查

血压评语生成:

  • 均正常:✅ 血压处于正常范围,心血管健康
  • 高压偏高:⚠️ 高压略高,注意清淡饮食
  • 高压过高:🚨 高压异常,建议咨询医生
  • 低压偏低:⚠️ 低压略低,可能体质较弱
  • 低压过低:🚨 低压异常,建议咨询医生

心率评语生成:

  • 正常(60-100):✅ 心率正常,心脏功能良好
  • 偏低(<60):⚠️ 心率偏低,可能运动量大或体质较好
  • 偏高(>100):⚠️ 心率偏快,建议休息放松

消耗评语生成:

  • 达标(≥100%):🎉 今日消耗目标已达成!
  • 接近(80-99%):💪 再活动一下就能达成目标了!
  • 未达标(<80%):🔥 今日消耗较少,可以适当增加运动
综合评估生成规则
markdown
**整体评价**:{great/good/needs_attention/poor}

{great_case}
🎉 {userName},今日健康状况非常棒!各项指标均在正常范围内,请继续保持!

{good_case}
👍 {userName},今日健康状况良好,大部分指标正常,继续保持!

{needs_attention_case}
👋 {userName},今日有部分指标需要注意,建议适当调整。

{poor_case}
⚠️ {userName},今日健康状况需要关注,建议咨询医生或调整生活习惯。
改善建议生成

根据异常指标生成针对性建议:

异常类型建议内容
步数不足每天步行 4000 步有助于保持健康
睡眠不足建议固定作息时间,睡前避免使用电子设备
血氧偏低避免长时间在密闭环境,适当进行深呼吸练习
血压偏高注意清淡饮食,减少盐分摄入,保持情绪稳定
心率偏高避免剧烈运动和情绪激动,保持充足睡眠
消耗不足结合有氧运动和无氧训练,提高基础代谢
无数据时回复
暂无今日健康数据。

请确保:
• amemo 服务已启动并正常运行
• 已记录今日的健康数据
• 已完成登录认证

尝试:查看我的步数数据

© 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-last-data of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Amemo Last 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 Last Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Amemo Last Data this skillLeoYeAI/openclaw-master-skills2.2k—~1kAutomated safety check: PassMIT
Plannotator Last Messagebacknotprop/plannotator9.2k—~279Automated safety check: PassApache-2.0
Last Tagumputun/cc-thingz484—~688Automated safety check: NotesMIT
Fix My Last Lineaiskillstore/marketplace4301 repos~952Automated safety check: PassNone
Last 30 Days Researchmohitagw15856/pm-claude-skills1.4k—~1.9kAutomated safety check: PassMIT
Last Two Weeks Handoffmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT

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Questions about Amemo Last Data

What does Amemo Last Data do?

当用户说「今日健康简报」「健康日报」「健康总览」「今日健康情况」时调用,获取全部类型最新健康数据并生成综合评估报告. An agent skill from LeoYeAI/openclaw-master-skills. Amemo Last Data is an agent skill from LeoYeAI/openclaw-master-skills.

How do I install Amemo Last Data in Claude Code?

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

How do I install Amemo Last Data in Codex?

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

Can I use Amemo Last 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-last-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-last-data, .gemini/skills/amemo-last-data, .github/skills/amemo-last-data and .opencode/skills/amemo-last-data in your project.

What does Amemo Last Data need to run?

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

Does Amemo Last 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 Last 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 Last Data use?

Amemo Last 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 Last Data use?

About 1k tokens (SKILL.md is roughly 4k 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 Last Data?

Skills that share tags, products or a category with Amemo Last Data: Plannotator Last Message (backnotprop/plannotator, 9.2k stars), Last Tag (umputun/cc-thingz, 484 stars), Fix My Last Line (aiskillstore/marketplace, 430 stars) and Last 30 Days Research (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Amemo Last Data?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 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.