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bkash-nagad-trackerbkash nagad 追踪器

Agent Skill

bkash-nagad-tracker 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,771

周安装

162

GitHub Stars

公开资料未说明

下载量

1,322
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bkash-nagad-tracker(bkash nagad 追踪器)
来源仓库:https://github.com/sabbiramin113008/bkash-nagad-tracker
安装命令:
openclaw skills install bkash-nagad-tracker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bkash-nagad-tracker

简介

用孟加拉语或英语以对话方式记录 bKash、Nagad、Rocket 和现金交易。每个周日获取每周支出摘要。专为孟加拉国打造。

SKILL.md

name
bkash-nagad-tracker
description
>
version
1.0.0
metadata
openclaw
emoji
🇧🇩
primaryEnv
ANTHROPIC_API_KEY
requires
env
bins
os
heartbeat
schedule
0 9 * * 0
command
python3 {baseDir}/summarizer.py weekly

bKash / Nagad Transaction Tracker 🇧🇩

Track your daily spending across bKash, Nagad, Rocket, and cash — in Bengali or English — and get an automatic weekly digest every Sunday morning.


When to activate this skill

Activate when the user says anything that contains:

Transaction logging signals:

  • Any amount in taka, tk, ৳, or BDT
  • Words: bKash, Nagad, Rocket, cash, paid, bought,

sent, spent, খরচ, পাঠালাম, কিনলাম, দিলাম

  • "log", "track", "record" + any amount
  • Bengali amounts: "পাঁচশো টাকা", "এক হাজার"

Summary signals:

  • "summary", "digest", "report", "weekly"
  • "এই সপ্তাহে কত খরচ", "spending this week"
  • "show my transactions", "কত টাকা গেলো"

Delete/edit signals:

  • "delete last", "undo", "শেষেরটা মুছো"
  • "edit transaction", "correct last entry"

How to log a transaction

Step 1 — Parse the message

Call the parser to extract structured data:

python3 {baseDir}/parser.py "{user_message}"

This returns JSON:

{
  "amount": 500,
  "method": "bkash",
  "category": "food",
  "note": "lunch",
  "confidence": "high"
}

If amount is null → ask the user: "কত টাকা? / How much?"

If confidence is "low" → confirm before saving: "Did you mean: 500৳ for food via bKash? (yes/no)"

Step 2 — Save the transaction

python3 {baseDir}/logger.py log \
  --amount {amount} \
  --method {method} \
  --category {category} \
  --note "{note}"

Step 3 — Confirm to user

Reply in the same language the user wrote in:

English: "✅ Logged: {amount}৳ — {category} ({method_emoji})"

Bengali: "✅ লগ হয়েছে: {amount}৳ — {category} ({method_emoji})"

Method emojis:

  • bKash → 🔴
  • Nagad → 🟠
  • Rocket → 🟣
  • Cash → 💵

How to generate a summary

On-demand summary

When user asks for summary/digest:

python3 {baseDir}/summarizer.py weekly

Format the output as a clean digest message and send.

Automatic weekly digest (Heartbeat)

Every Sunday at 9:00 AM local time:

  1. Run python3 {baseDir}/summarizer.py weekly
  2. Send digest to user automatically
  3. No user prompt needed

How to delete/undo last transaction

python3 {baseDir}/logger.py undo

Reply: "✅ Last transaction deleted."


How to show recent transactions

When user asks "what did I log today" or "recent":

python3 {baseDir}/logger.py recent --n 5

Format as a simple numbered list.


Category mapping reference

Use this to classify ambiguous messages:

KeywordsCategory
food, lunch, dinner, breakfast, restaurant, খাবার, রেস্তোরাঁfood
rickshaw, CNG, Uber, bus, train, ভাড়া, যাতায়াতtransport
rent, বাড়িভাড়াrent
electricity, gas, water, internet, bill, বিলutilities
mum, dad, family, bhai, apa, মা, বাবা, ভাই, আপা, sent toremittance
medicine, doctor, hospital, ডাক্তারmedical
school, tuition, books, পড়াশোনাeducation
clothes, shoes, shopping, কেনাকাটাshopping
everything elseother

Example conversations

English input:

User:  "bkash 450 lunch"
Agent: ✅ Logged: 450৳ — Food 🔴

User:  "sent 5000 to mum nagad"
Agent: ✅ Logged: 5000৳ — Remittance 🟠

User:  "show my spending this week"
Agent: [weekly digest]

Bengali input:

User:  "৳৮৫০ বিকাশে বাজার করলাম"
Agent: ✅ লগ হয়েছে: 850৳ — Shopping 🔴

User:  "রিকশায় ৮০ টাকা নগদ"
Agent: ✅ লগ হয়েছে: 80৳ — Transport 💵

User:  "এই সপ্তাহে কত খরচ হলো"
Agent: [সাপ্তাহিক সারসংক্ষেপ]

Mixed input:

User:  "electricity bill 1200 bkash dilam"
Agent: ✅ Logged: 1200৳ — Utilities 🔴

Error handling

  • Python not found: Tell user to install Python 3.10+
  • Parse fails: Ask user to rephrase: "Could you say

that again with the amount? e.g. '500 taka food bKash'"

  • Storage error: Log error, tell user to try again
  • No transactions this week: Reply "No transactions

logged yet this week. Start by sending me your first expense!"

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.19%
按下载量换算1,206

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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