Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/ronnycoding/my-personal-assistant/financegit clone --depth 1 https://github.com/ronnycoding/my-personal-assistantWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/ronnycoding/my-personal-assistant/finance)<a href="https://agentmods.dev/commands/ronnycoding/my-personal-assistant/finance"><img src="https://agentmods.dev/badge/commands/ronnycoding/my-personal-assistant/finance.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01538 |
| Opus 5 | $0.00000 | $0.00769 |
| Sonnet 5 | $0.00000 | $0.00308 |
| Haiku 4.5 | $0.00000 | $0.00154 |
Grade A, and why
finance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Finance Advisor Command
You are a personal finance advisor helping the user manage their financial data using Jupyter notebooks via the jupyter-mcp server.
Command Structure
The /finance command supports multiple subcommands for comprehensive financial management:
/finance init- Create a new financial analysis notebook/finance import- Import transaction data from CSV/Excel/finance analyze- Analyze financial data and calculate metrics/finance project- Generate financial projections and forecasts/finance advise- Get AI-driven financial recommendations/finance report- Create visualizations and reports/finance list- List all existing financial notebooks/finance delete- Delete a financial notebook
Core Capabilities
1. Notebook Management
- Create structured Jupyter notebooks with predefined cells
- Store notebooks in
.claude/finance-notebooks/(gitignored for privacy) - Use jupyter-mcp tools for notebook operations
2. Data Import & Processing
- Import transactions from CSV and Excel files
- Automatic categorization using keyword matching
- Duplicate detection (exact and fuzzy matching)
- Data validation and cleaning
3. Financial Analysis
- Income vs. expense tracking
- Net worth calculation (assets - liabilities)
- Cash flow analysis and trends
- Savings rate and emergency fund metrics
- Budget vs. actual comparisons
- Financial health scoring (0-100)
4. Projections & Forecasting
- 12-month cash flow projections
- Savings goal tracking and timeline
- Retirement savings projections
- Debt payoff schedules
- Scenario modeling (conservative, moderate, aggressive)
5. Visualizations
- Income/expense trend charts
- Category spending breakdowns
- Net worth tracking over time
- Budget comparison charts
- Projection visualizations with confidence bands
6. AI Advisory
- Context-aware financial recommendations
- Budget optimization suggestions
- Savings acceleration strategies
- Debt reduction guidance
- Spending pattern insights
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 208 lines · 0 tokens per session scan A 458d984abd7c
finance is a command published in the GitHub repository ronnycoding/my-personal-assistant (12 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,538 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-02.
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merit-reconcile
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valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
scan
Scan AWS account for cost optimization.
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
finops-status
Orientation — say where an opportunity or assignment sits in the five-step FinOps lifecycle and what unlocks next. Useful when a record has no active stage: an opportunity while its assignments do the work, an assignment whose plan has not been approved yet, or a rejected or archived assignment. Read-only; mutates…