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cuiguopengs

Journey to First Million

by cuisine · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install first-million
Description
Personal finance management for recording income/expenses, budgeting, and savings goals. Use when user asks to track spending, create budgets, analyze financ...
README (SKILL.md)

Journey to First Million

This skill is your companion on the path to your first million. It helps you track transactions, set budgets, spot spending patterns, and see how far you’ve come—so every entry and review feels part of a bigger story. All data and scripts are project-local; no external network or credentials are used.

Core Features

1. Record Transactions

Adding expenses:

User: "Breakfast cost 19"
User: "Taxi 12"
User: "Lunch 22, with colleagues"

Adding income:

User: "Salary 8000"
User: "Side gig 500"
User: "Investment income 120"

Script to use: scripts/add_transaction.py

Parameters:

  • --type: income|expense
  • --amount: amount number
  • --category: category name
  • --note: optional note
  • --date: optional date (YYYY-MM-DD)

2. Set Budgets

Setting budgets:

User: "Total budget this month 5000"
User: "Food budget 2000"
User: "Shopping 1000, transport 500"

Checking budget status:

User: "How much budget left this month"
User: "Budget status"
User: "Am I over budget"

Script to use: scripts/budget.py

Commands:

  • --set \x3Ccategory>:\x3Camount> - Set budget for category or total
  • --check [--period month] - Check budget status

3. Analyze Spending

Generate reports:

User: "How much did I spend this month"
User: "This week's spending"
User: "Break down spending by category"
User: "Income this year"

Script to use: scripts/analyze.py

Parameters:

  • --period: week|month|year|all
  • --category: filter by specific category

4. Financial Advice

Common requests:

User: "How to set a budget"
User: "How to save more"
User: "Financial tips"
User: "How to control spending"

Reference (project file): references/finance-tips.md

5. Journey to First Million (progress & milestones)

Common requests:

User: "My goal is to save one million"
User: "How far from my first million"
User: "First million progress"
User: "How long until I hit a million"

How to track:

  • Use scripts/analyze.py --period year or --period all to get total income and expenses, then estimate current savings/net worth
  • If the user has a target (e.g. 1M), compute: amount saved, gap remaining, and estimated time to reach it from current monthly savings
  • For goal breakdown, see "savings goal planning" in references/finance-tips.md (SMART goals, breakdown, progress)

Response tone — journey & story:

  • Frame numbers as progress: "You’re X% of the way there," "That’s another step toward your first million."
  • Include a one-line milestone or encouragement (e.g. "You’ve added ¥X to the journey this month.")
  • Give estimated time in a narrative way: "At this pace, you’re on track to reach it in about X months."
  • Optionally tie to the journey: "Every month you stay on plan gets you closer."

Workflow

Initial Setup

  1. Ask about income level to understand their context for the journey
  2. Review expense categories in references/categories.md
  3. Set initial budget using 50/30/20 rule as the starting point
  4. Introduce the journey — explain that this skill tracks every step toward their first million and how to use it

Daily Recording

When the user mentions spending or income:

  1. Extract amount and category from their message
  2. Invoke the project script scripts/add_transaction.py with the parsed arguments to record it
  3. Confirm with a short, journey-friendly line, e.g. "✓ Logged: ¥19 Food — one less unknown on your path to the first million." or "✓ Recorded. Every entry keeps your journey accurate."

Weekly/Monthly Review

Generate reports automatically or on request:

  1. Invoke scripts/analyze.py with the appropriate period
  2. Invoke scripts/budget.py --check for budget status
  3. Summarize in journey terms: how much moved, how it compares to last period, one takeaway (e.g. "You’re on track" or "Small tweak could free more for the goal")
  4. Highlight one positive (e.g. savings rate, category under budget) so the review feels like a progress check, not just numbers

Budget Management

When setting budget:

  1. Ask about their income and savings goals
  2. Recommend 50/30/20 rule if they're unsure
  3. Invoke scripts/budget.py --set to set budgets (persisted in project data)
  4. Budget data is stored in OpenClaw workspace ~/.openclaw/workspace/first-million/budget.json

When checking budget:

  1. Invoke scripts/budget.py --check
  2. Highlight overspending or near-limit categories
  3. Suggest adjustments if needed

Journey to First Million (progress check)

When the user asks about their million goal or long-term savings:

  1. Invoke scripts/analyze.py --period all to get total income and expenses
  2. Estimate current savings (total income − total expenses, or ask for existing savings/assets)
  3. If they have a target (e.g. 1M), compute gap, completion %, and estimated time at current monthly savings
  4. Reply in journey language: "You’re X% of the way to your first million," "At this pace, about X months left," plus one line of encouragement (e.g. from references/finance-tips.md on mindset or next steps)

Scope & safety

  • Data: Ledger and budget data are stored in OpenClaw workspace: ~/.openclaw/workspace/first-million/ (ledger.json, budget.json). Scripts read and write only these files; no network or credentials.
  • Scripts: Only the three project scripts under scripts/ are used; no shell pipelines, no remote fetches, no credentials.
  • References: Only project Markdown files under references/ are read. No external URLs or APIs.

Data Structure

Ledger Data (~/.openclaw/workspace/first-million/ledger.json)

{
  "transactions": [
    {
      "type": "expense",
      "amount": 19.0,
      "category": "Food",
      "date": "2026-03-13",
      "timestamp": "2026-03-13T01:12:00",
      "note": "Breakfast"
    }
  ]
}

Budget Data (~/.openclaw/workspace/first-million/budget.json)

{
  "total": 5000,
  "categories": {
    "Food": 2000,
    "Shopping": 1000,
    "Transport": 500
  }
}

Categories

Read project file references/categories.md when:

  • User asks about categories
  • User is unsure how to categorize an expense
  • Need to suggest standard categories

Standard categories include:

  • Necessities: Food, Transport, Housing, Utilities
  • Lifestyle: Shopping, Entertainment, Learning, Health
  • Other: Social, Travel, Other

Budgeting Guide

Read project file references/budget-guide.md when:

  • User asks how to set budget
  • User wants budgeting advice
  • User needs help optimizing their budget

Key concepts:

  • 50/30/20 rule: 50% necessities, 30% lifestyle, 20% savings
  • Zero-based budgeting: Every dollar has a purpose
  • Execution: Automation, alerts, flexibility

Financial Tips

Read project file references/finance-tips.md when:

  • User asks for financial tips
  • User wants to save money
  • User asks about investment basics
  • User has debt management questions

Core principles:

  • Save first, spend later
  • Emergency fund (3-6 months expenses)
  • Identify "latte factor" (small recurring expenses)
  • Delay consumption for non-essentials

Best Practices

Voice & tone (Journey to First Million)

  • Frame as a journey: Refer to "your first million," "your path," "this month’s step," "progress" so the user feels they’re on a clear path.
  • One-line takeaway: When sharing numbers, add a short narrative line (e.g. "That keeps you on track" or "One more month of data toward your goal").
  • Encourage without fluff: Be concrete with numbers first; then one sentence of context or encouragement. Avoid generic cheerleading.

Recording Transactions

  • Be consistent: Record daily so the journey stays accurate
  • Use specific categories: Avoid "Other" unless necessary
  • Add notes: Helps with later analysis
  • Validate amounts: Confirm numbers with user if unclear

Analyzing Data

  • Provide context: Compare with previous periods so they see the story over time
  • Highlight trends: "Food spending up 20% vs last month — a chance to trim and put more toward your journey"
  • Suggest actions: "Consider packed lunch to cut takeout; that could add ¥X to your monthly progress"
  • Celebrate progress: "You’re 80% of the way to this month’s savings goal" or "Another month of data — your journey to the first million is getting clearer"

Budget Advice

  • Start conservative: Easy to tighten, hard to relax
  • Review monthly: Adjust based on actual spending
  • Track progress: Show budget vs actual comparison
  • Be flexible: One-off expenses don't ruin the plan

Examples

Example 1: Daily Recording

User: "Lunch 22, taxi 12"

Response:

  • Invoke scripts/add_transaction.py --type expense --amount 22 --category Food --note "Lunch"
  • Invoke scripts/add_transaction.py --type expense --amount 12 --category Transport --note "Taxi"
  • Reply (journey tone): "✓ Logged Food ¥22, Transport ¥12 (total ¥34). Your path to the first million stays clear when every step is recorded."

Example 2: Monthly Report

User: "How much did I spend this month"

Response:

  • Invoke scripts/analyze.py --period month
  • Invoke scripts/budget.py --check
  • Reply: Share totals and breakdown, then one story line — e.g. "This month you spent ¥X. [Under/Over] budget by ¥Y. [One takeaway: e.g. Food was the main driver; trimming there could speed your journey.]"

Example 3: Setting Budget

User: "Set a budget for me, income 8000"

Response:

  1. Load references/budget-guide.md for reference
  2. Recommend 50/30/20 split: ¥4000 necessities, ¥2400 lifestyle, ¥1600 savings
  3. Invoke scripts/budget.py --set total:8000
  4. Invoke scripts/budget.py --set Food:2000
  5. Reply: "✓ Your journey budget is set: 50/30/20 (¥4000 / ¥2400 / ¥1600). That ¥1600 to savings is your steady step toward the first million."

Example 4: Savings Advice

User: "I want to save 2000 per month but keep overspending"

Response:

  1. Load references/finance-tips.md for advice
  2. Invoke scripts/analyze.py to find where money is going
  3. Suggest automation (e.g. auto-transfer on payday so savings happen first)
  4. Reply with 1–2 concrete tips and a journey line: "Small changes now add up — your first million is built from months like this."

Example 5: Journey to First Million — progress check

User: "How far from a million, help me calculate"

Response:

  1. Invoke scripts/analyze.py --period all to get total income and expenses
  2. Estimate current savings = total income − total expenses (or ask for unrecorded savings/investments)
  3. Compute: gap = 1,000,000 − current savings, completion % = current savings / 1,000,000 × 100%
  4. Use recent average monthly savings to estimate "about X months at current pace"
  5. Reply in journey style: "You’re [X]% of the way to your first million — ¥[gap] to go. At your current pace, about [X] months left. [One line of encouragement, e.g. from references/finance-tips.md.]"
Usage Guidance
This skill appears to be a straightforward local ledger/budget tool: it will read and write ledger.json and budget.json under ~/.openclaw/workspace/first-million and uses only the included scripts and reference docs. Before installing, consider: (1) Are you comfortable storing unencrypted financial data in ~/.openclaw/workspace? If not, move the data directory or apply filesystem encryption/permissions. (2) The skill can be invoked autonomously by the agent (platform default) and SKILL.md mentions automatic report generation—if you prefer to avoid unattended runs, restrict agent permissions or require user confirmation. (3) The package contains no network calls or credential requests, but if your agent or environment has broader network access, be aware the agent itself (not the skill's code) could transmit content; verify platform policies. (4) If you want extra assurance, review the three included Python scripts— they are short and readable—and/or run them locally to inspect their behavior before letting the agent invoke them.
Capability Analysis
Type: OpenClaw Skill Name: first-million Version: 1.0.3 The 'journey-to-first-million' skill is a local financial tracking tool that manages income, expenses, and budgeting through JSON files stored in the OpenClaw workspace. The Python scripts (add_transaction.py, analyze.py, budget.py) use standard libraries for data processing and lack any high-risk behaviors such as network access, shell execution, or external dependencies. The SKILL.md instructions are well-structured, explicitly limiting the agent's scope to project-local files and providing clear, safe guidelines for financial analysis without any evidence of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
Name/description match the included scripts and reference docs. All three scripts implement transaction add, budget management, and analysis and operate on ledger.json / budget.json under ~/.openclaw/workspace/first-million, which is coherent with the stated purpose.
Instruction Scope
SKILL.md confines operations to project-local scripts and reference files and instructs invoking the included scripts. One somewhat open phrase: "Generate reports automatically or on request" — this could allow autonomous periodic report generation if the agent is permitted to invoke the skill without user prompts. Functionally, the runtime instructions otherwise reference only local files and do not ask the agent to read unrelated system files or external credentials.
Install Mechanism
No install spec; this is instruction+script bundle. All code is included in the package (no remote downloads or extracted archives), so installation does not fetch external code.
Credentials
The skill declares no required environment variables or credentials. The only resource accessed is the user's OpenClaw workspace path (~/.openclaw/workspace/first-million), which is proportionate for a local ledger/budget tool. No unrelated secrets or services are requested.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. It persists data only in its own workspace directory. The skill can be invoked autonomously (default), which increases potential for automated reports but is consistent with platform behavior and not, by itself, a red flag.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install first-million
  3. After installation, invoke the skill by name or use /first-million
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Journey-first language and encouragement added throughout skill. - Skill renamed to "Journey to First Million," with a strong focus on progress, milestones, and user motivation. - All user interactions now framed as steps toward a larger savings goal, using journey-themed responses and encouragement. - Responses for progress checks include percentage complete, estimated time, and a motivational line. - Initial setup and periodic reviews emphasize tracking, positivity, and celebrating progress, not just numbers. - Feature scope and workflows unchanged; tone and guidance improved for a more engaging experience.
v1.0.2
**Changelog for version 1.0.1:** - Scoped the skill strictly to project-local scripts and reference files; clarified no external network or credential access. - Updated documentation and examples to use only English; removed Chinese/English dual-language guidance. - Enhanced clarity on data storage locations with explicit OpenClaw workspace paths. - Tightened descriptions of workflow, script invocation, and feature set for accuracy and security. - Added/clarified best practices and safety principles for data handling and user privacy.
v1.0.1
**Changelog for version 1.0.1:** - Scoped the skill strictly to project-local scripts and reference files; clarified no external network or credential access. - Updated documentation and examples to use only English; removed Chinese/English dual-language guidance. - Enhanced clarity on data storage locations with explicit OpenClaw workspace paths. - Tightened descriptions of workflow, script invocation, and feature set for accuracy and security. - Added/clarified best practices and safety principles for data handling and user privacy.
v1.0.0
Personal finance management for recording income/expenses, budgeting, and savings goals. Use when user asks to track spending, create budgets, analyze financial data, or get financial advice. Supports adding transactions, generating reports, checking budget status, and providing理财建议. Works with Chinese/English language.
Metadata
Slug first-million
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Journey to First Million?

Personal finance management for recording income/expenses, budgeting, and savings goals. Use when user asks to track spending, create budgets, analyze financ... It is an AI Agent Skill for Claude Code / OpenClaw, with 262 downloads so far.

How do I install Journey to First Million?

Run "/install first-million" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Journey to First Million free?

Yes, Journey to First Million is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Journey to First Million support?

Journey to First Million is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Journey to First Million?

It is built and maintained by cuisine (@cuiguopengs); the current version is v1.0.3.

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