/install expense-tracker
Expense Tracker
Log and track daily expenses in markdown files organized by month.
Quick Start
Log an expense
python3 scripts/log_expense.py log \x3Camount> \x3Ccategory> [--description "text"] [--tags "tag1,tag2"] [--date YYYY-MM-DD]
Examples:
# Simple expense
python3 scripts/log_expense.py log 45000 Coffee
# With description
python3 scripts/log_expense.py log 250000 Dining --description "Lunch with team"
# With tags
python3 scripts/log_expense.py log 500000 Shopping --tags "clothes,sale" --description "New shirt"
# Specify date (for backdating)
python3 scripts/log_expense.py log 1200000 Vehicle --description "Gas" --date 2026-02-15
View monthly summary
# Current month
python3 scripts/log_expense.py summary
# Specific month
python3 scripts/log_expense.py summary 2026-02
# JSON output (for parsing)
python3 scripts/log_expense.py summary 2026-02 --json
File Organization
Expenses are stored in expenses/ directory at workspace root:
expenses/
├── 2026-01.md
├── 2026-02.md
└── 2026-03.md
Each file contains a markdown table:
# Expenses - 2026-02
| Date | Category | Amount (VND) | Description | Tags |
|------|----------|-------------|-------------|------|
| 2026-02-17 | Coffee | 45,000 | | |
| 2026-02-17 | Dining | 250,000 | Lunch with team | |
| 2026-02-17 | Shopping | 500,000 | New shirt | clothes,sale |
Categories
See references/categories.md for common expense categories. Use existing categories or create custom ones as needed.
Common categories:
- Housing - Rent, utilities, home expenses
- Vehicle - Gas, maintenance, parking
- Dining - Restaurants, food delivery
- Coffee - Cafes, coffee shops
- Shopping - Clothes, electronics, general purchases
- Entertainment - Movies, games, hobbies
- Healthcare - Medicine, doctor visits
- Subscriptions - Netflix, Spotify, gym, apps
- Savings - Investments, emergency fund
- Debt Payment - Loans, credit cards
- Miscellaneous - Other expenses
Workflow Examples
Log daily expenses from conversation
When the user mentions spending money:
# User: "Just paid 35k for coffee"
python3 scripts/log_expense.py log 35000 Coffee
# User: "Grabbed lunch for 120k at Phở 24"
python3 scripts/log_expense.py log 120000 Dining --description "Phở 24"
# User: "Filled up gas, 400k"
python3 scripts/log_expense.py log 400000 Vehicle --description "Gas"
Monthly review
# Get summary
python3 scripts/log_expense.py summary 2026-02
# Read the expense file to see details
cat expenses/2026-02.md
Analyze spending patterns
# Get JSON for analysis
python3 scripts/log_expense.py summary 2026-02 --json
# Compare multiple months
python3 scripts/log_expense.py summary 2026-01 --json > jan.json
python3 scripts/log_expense.py summary 2026-02 --json > feb.json
Auto Backup
Before every write, the script automatically backs up the current expense file to:
~/Documents/expenses_backup/YYYY-MM.md
- Backup runs before any modification (safe even if write fails)
- If the file doesn't exist yet (first entry of the month), backup is skipped
- Backup is overwritten each time with the latest pre-write snapshot
- This protects against accidental
rm -rfor corruption of the workspace
Tips
- Batch logging: User can tell you multiple expenses at once, log them all
- Category consistency: Use the same category names to enable accurate summaries
- Tags for filtering: Use tags for subcategories (e.g., "work", "weekend", "urgent")
- Descriptions: Add context that helps identify the expense later
- Regular reviews: Suggest monthly summaries to track spending patterns
Integration with Financial Goals
When tracking expenses, consider:
- Budget tracking: Compare monthly totals to target budget
- Spending patterns: Identify high-spend categories
- Emergency fund: Track savings progress
- Debt reduction: Monitor debt payment progress
- Financial ratios: Calculate expenses as % of income
Script Reference
log_expense.py
Commands:
log- Add an expense entrysummary- View monthly summary
Arguments (log):
amount- Amount in VND (required)category- Category name (required)--description/-d- Optional description--tags/-t- Optional comma-separated tags--date- Optional date (YYYY-MM-DD, defaults to today)--workspace- Optional workspace path (defaults to ~/.openclaw/workspace)
Arguments (summary):
year_month- Optional YYYY-MM (defaults to current month)--json- Output as JSON--workspace- Optional workspace path
Output:
- Creates/updates markdown files in
expenses/directory - Prints confirmation with file location
- Summary shows total, count, and breakdown by category
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install expense-tracker - 安装完成后,直接呼叫该 Skill 的名称或使用
/expense-tracker触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Expense Tracker 是什么?
Track daily expenses in structured markdown files organized by month. Use when the user wants to log spending, view expense summaries, analyze spending patte... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 939 次。
如何安装 Expense Tracker?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install expense-tracker」即可一键安装,无需额外配置。
Expense Tracker 是免费的吗?
是的,Expense Tracker 完全免费(开源免费),可自由下载、安装和使用。
Expense Tracker 支持哪些平台?
Expense Tracker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Expense Tracker?
由 Loc Vo(@aholake)开发并维护,当前版本 v1.1.0。