Agent skill

Amemo Login

by LeoYeAI in LeoYeAI/openclaw-master-skills

当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。

MITAuto-check passed

Install Amemo Login

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

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills amemo-login --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-login .claude/skills/amemo-login && 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-login
GitHub stars
2.2k
Token cost
~743 tokens
SKILL.md length
106 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。

  • SKILL.md covers 接口信息, 请求参数, 请求示例 and 响应示例, plus 4 more sections
  • Calls curl; reaches skill.amemo.cn

What it does

Amemo Login is an agent skill from LeoYeAI/openclaw-master-skills. 当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。

Its SKILL.md is about 740 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-login”

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 Login loads about 743 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 106 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~743

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). 106 words, ~743 tokens.

Download SKILL.mdSave it as .claude/skills/amemo-login/SKILL.md (or your agent's skills folder).
name
amemo-login
description
当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。

amemo-login — 用户登录


接口信息

属性值
路由POST https://skill.amemo.cn/login
BeanLoginBean
Content-Typeapplication/json

请求参数

⚠️ 服务端要求所有字段必须存在且有值,不可传 null。

参数类型必填说明
phonestr✅手机号
codestr✅验证码(先通过 amemo-send-code 获取)

请求示例

bash
curl -X POST https://skill.amemo.cn/login \
  -H "Content-Type: application/json" \
  -d '{"phone": "13800138000", "code": "123456"}'

响应示例

json
{
  "code": 200,
  "desc": "success",
  "data": {
    "userToken": "xxx...",
    "userName": "用户昵称",
    "userPhone": "13800138000",
    "loginAt": "2024-03-22T10:30:00Z"
  }
}

注意事项

📌 前置条件:调用前需先通过 amemo-send-code 获取验证码

🔐 Token 管理:返回的 userToken 需保存,后续所有接口调用均需携带此 token


执行流程(由主模块调度)

当主模块检测到用户输入验证码时,自动调用本模块。

输入提取规则
项目正则表达式说明
手机号1[3-9]\d{9}自动过滤空格、横线、+86 前缀
验证码\d{4,6}4-6 位连续数字

用户输入示例:

  • "1234" → 验证码
  • "123456" → 验证码
  • "验证码是 1234" → 验证码

执行步骤
1. 使用正则 \d{4,6} 从用户消息中提取验证码
    ↓
2. 调用 POST /login 完成登录
    ↓
3. 提取返回数据中的 userToken、userName、userPhone、loginAt
    ↓
4. 更新主模块 SKILL.md 顶部的 <amemo-user-config> JSON 配置
    ↓
5. 发送个性化欢迎消息

响应数据解析
字段类型说明
data.userTokenstr用户认证令牌
data.userNamestr用户昵称
data.userPhonestr用户手机号
data.loginAtstr登录时间(ISO 8601 格式)

登录成功后的配置更新

使用文件编辑工具精准定位主 SKILL.md 顶部 <amemo-user-config> 标签内的 JSON 配置区域,替换为:

json
{
  "userToken": "{提取的userToken}",
  "userName": "{提取的userName}",
  "userPhone": "{提取的userPhone}",
  "loginAt": "{当前时间}"
}

回复模板

登录成功后
✅ 登录成功!欢迎回来,{userName}!

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📋 功能菜单

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📝 【笔记管理】
   • 保存笔记 → "帮我记一下..." / "保存笔记..."
   • 查询笔记 → "查看我的笔记" / "查找关于XXX的笔记"
   • 搜索笔记 → "搜索我XXX相关的笔记"

✅ 【清单管理】
   • 创建待办 → "今天/明天/后天要..." / "12月25日要..."
   • 查看清单 → "查看我的清单" / "我的待办"
   • 邮件提醒 → 创建任务后自动询问是否开启邮件提醒

📊 【健康数据】
   • 今日简报 → "今日健康简报" / "健康日报"
   • 步数统计 → "查看我的步数数据"
   • 睡眠分析 → "查看我的睡眠数据"
   • 血氧监测 → "查看我的血氧数据"
   • 血压记录 → "查看我的血压数据"
   • 心率数据 → "查看我的心率数据"
   • 消耗统计 → "查看我的消耗数据"

🤖 【AI 记忆】
   • 刷新记忆 → "刷新助手记忆" / "初始化助手记忆"
   • 保存记忆 → "保存永久记忆" / "永久记住这个"

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 使用提示
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• 直接说出你想做的事,我会自动识别
• 支持自然语言,无需记住固定指令
• 需要帮助随时输入 "help" 或 "帮助"

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
使用 userName 的场景
场景模板
欢迎欢迎回来,{userName}!
确认操作{userName},已为您保存笔记
提醒{userName},您有一条待办清单
错误提示{userName},出了点小问题,请重试

错误处理

手机号格式错误
❌ 手机号格式不正确,请发送正确的 11 位手机号。
示例:13800138000
验证码错误
❌ 验证码错误或已过期,请重新发送验证码。
登录失败
❌ 登录失败:[错误原因]
请检查手机号和验证码后重试。

© 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-login of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Amemo Login 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 Login compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Amemo Login this skillLeoYeAI/openclaw-master-skills2.2k—~743Automated safety check: PassMIT
Login Flownexu-io/open-design100k—~334Automated safety check: PassApache-2.0
Interactive Loginyc-software/qm15k—~1.3kAutomated safety check: PassMIT
Browser Loginruvnet/ruflo74k—~802Automated safety check: NotesMIT
Playwright Login Flowsandrewyng/context-hub14k—~715Automated safety check: PassMIT
Game LoginJulian-adv/OpenMMO1.8k—~798Automated safety check: PassCustom licence

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Questions about Amemo Login

What does Amemo Login do?

当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。. Amemo Login is an agent skill from LeoYeAI/openclaw-master-skills.

How do I install Amemo Login in Claude Code?

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

How do I install Amemo Login in Codex?

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

Can I use Amemo Login 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-login -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-login, .gemini/skills/amemo-login, .github/skills/amemo-login and .opencode/skills/amemo-login in your project.

What does Amemo Login need to run?

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

Does Amemo Login 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 Login 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 Login use?

Amemo Login 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 Login use?

About 743 tokens (SKILL.md is roughly 3k 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 Login?

Skills that share tags, products or a category with Amemo Login: Login Flow (nexu-io/open-design, 100k stars), Interactive Login (yc-software/qm, 15k stars), Browser Login (ruvnet/ruflo, 74k stars) and Playwright Login Flows (andrewyng/context-hub, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Amemo Login?

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.