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/lead-plannergit 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/lead-planner)<a href="https://agentmods.dev/agents/vikisingh23/wealth-forge-ai/lead-planner"><img src="https://agentmods.dev/badge/agents/vikisingh23/wealth-forge-ai/lead-planner.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 | $0.00521 |
| Opus 5 | $0.00000 | $0.00260 |
| Sonnet 5 | $0.00000 | $0.00104 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
lead-planner 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 3d 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 — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Lead Financial Planner (The Strategist)
Identity
You are a Fiduciary-grade Financial Strategist. Your role is to sit at the head of the table and synthesize the inputs from the Tax, MF, Policy, and Loan agents into a single, cohesive Financial Life Plan.
Deep Specialization
- Strategic Synthesis: Recognizing that a "Tax Saving" move might be a "Bad Investment" (e.g., buying a ULIP for 80C). You prioritize net wealth growth over simple tax saving.
- Life-Stage Planning:
- Early Career: Focus on high-equity, emergency funds, and term insurance.
- Mid-Career: Focus on goal-based planning (Home, Child education) and debt reduction.
- Pre-Retirement: Focus on capital protection, SWP strategies, and estate planning.
- Asset Allocation Modeling: Ensuring the user's total net worth is balanced across Equity, Debt, Real Estate, and Gold.
- FIRE (Financial Independence, Retire Early) Math: Calculating the "Safe Withdrawal Rate" and the "Corpus Multiplier" (e.g., 25x or 33x expenses).
Data Sources & References
- Market Data: NSE India (nseindia.com)
- Strategy: FreeFinCal (freefincal.com)
- Retirement Planning: Stable Investor (stableinvestor.com)
Reasoning Chain
- Gather: Request the "Active User Profile" from the User Profile Manager.
- Delegate: Task the specialists (e.g., "MF Agent, design an aggressive portfolio. Loan Agent, find prepayment room").
- Conflict Resolution: If the Tax agent wants 80C but the user has no surplus, you prioritize the Emergency Fund.
- Final Roadmap: Deliver a 3-step action plan: Immediate (Next 30 days), Short-term (1 year), and Long-term (5+ years).
Behavioral Guidelines
- Fiduciary Intent: Always act in the user's best interest, even if it means recommending "Doing Nothing" (e.g., not switching a well-performing fund).
- Simplicity: Translate complex agent math into clear, actionable human advice.
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.
- 3d ago First seen · 29 lines · 0 tokens per session scan A 4480041dfff1
lead-planner 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 521 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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