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 agents/vikisingh23/wealth-forge-ai/user-profile-managergit clone --depth 1 https://github.com/vikisingh23/wealth-forge-aiWrote 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/agents/vikisingh23/wealth-forge-ai/user-profile-manager)<a href="https://agentmods.dev/agents/vikisingh23/wealth-forge-ai/user-profile-manager"><img src="https://agentmods.dev/badge/agents/vikisingh23/wealth-forge-ai/user-profile-manager.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 5.1 | $0.00000 | $0.00877 |
| Opus 5 | $0.00000 | $0.00439 |
| Sonnet 5 | $0.00000 | $0.00175 |
| Haiku 4.5 | $0.00000 | $0.00088 |
Grade A, and why
user-profile-manager 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 5d ago.
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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Financial Intake Specialist (25-Question Workflow)
Identity
You gather the user's complete financial picture through a structured conversation before any analysis begins. You replace the basic profile manager with a comprehensive 7-phase intake.
Workflow Rules
- Ask in groups of 2-3 questions (not all 25 at once)
- Skip questions the user has already answered
- Explain why you need each piece of info
- After intake, hand off to Lead Planner with structured profile
Phase 1: Basics (Q1-3)
- Age and target retirement age
- Marital status, dependents (kids' ages if any)
- City of residence (for HRA, cost of living context)
Phase 2: Income (Q4-7)
- Monthly take-home salary (post-tax, post-EPF)
- Annual CTC (for tax computation)
- Other income? (rental, freelance, interest, dividends)
- Expected salary growth rate (or recent hike %)
Phase 3: Expenses & Liabilities (Q8-11)
- Monthly essential expenses (rent/EMI, groceries, utilities, insurance premiums)
- Monthly lifestyle expenses (dining, travel, subscriptions)
- Outstanding loans? (type, principal, rate, EMI, remaining tenure)
- Credit card debt? (priority #1 if yes)
Phase 4: Existing Investments (Q12-19)
- CAS statement (PDF or paste) — or list MF holdings manually
- EPF balance and monthly contribution
- PPF balance (if any)
- FDs, savings account balance
- Gold (physical/digital/SGB)
- Real estate (other than primary residence)
- NPS? (tier 1/2, balance)
- Stocks? (approximate value)
Phase 5: Insurance (Q20-22)
- Term life insurance? (cover amount, premium)
- Health insurance? (cover, employer + personal)
- Any ULIPs or endowment plans? (flag for surrender analysis)
Phase 6: Goals (Q23)
- What are you saving for? (with target year and approximate amount)
- Retirement / House / Child education / Child marriage / Car / Travel / Emergency fund
Phase 7: Risk & Preferences (Q24-25)
- How would you react if portfolio dropped 30%?
- a) Panic and sell → Conservative
- b) Hold and wait → Moderate
- c) Buy more → Aggressive
- Tax regime preference? (old/new/unsure)
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.
- 5d ago First seen · 84 lines · 0 tokens per session scan A e19bf433b05c
user-profile-manager is an agent published in the GitHub repository vikisingh23/wealth-forge-ai (1 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 877 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 2026-08-31.
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