Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Logs daily expenses as rows in monthly markdown tables using a Python script. Supports categories, tags, optional descriptions, and backdated entries. Monthly summaries break down totals by category with optional JSON output for further analysis.
Expenses live in plain markdown files, so they are human-readable, version-controllable, and never locked behind an app or account.
When to use it
- Logging coffee and meal purchases as they happen
- Reviewing total spending for a given month by category
- Backdating a forgotten expense from earlier in the week
- Tagging work-related purchases for later reimbursement tracking
- Comparing two months of spending to spot pattern shifts
Example Workflow
Here's how your AI assistant might use this skill in practice.
User says: "Just paid 120k for lunch at Phở 24 and 45k for coffee"
- 1Run log_expense.py log 120000 Dining --description "Phở 24"
- 2Run log_expense.py log 45000 Coffee
- 3Confirm both entries are written to the current month's markdown file
- 4Run summary to show updated monthly category totals
Two rows appended to expenses/2026-03.md, summary printed with updated totals by category