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.
git clone --depth 1 https://github.com/maigentic/stratartsWrote 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/maigentic/stratarts/financial-model-architect)<a href="https://agentmods.dev/commands/maigentic/stratarts/financial-model-architect"><img src="https://agentmods.dev/badge/commands/maigentic/stratarts/financial-model-architect.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 | $0.00046 | $0.09504 |
| Opus 5 | $0.00023 | $0.04752 |
| Sonnet 5 | $0.00009 | $0.01901 |
| Haiku 4.5 | $0.00005 | $0.00950 |
Grade A, and why
financial-model-architect 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 7d 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 — 882 lines — stays where its author put it; the contents beside it link to each section on GitHub.
financial-model-architect
Mission: Build a comprehensive 3-5 year financial model that projects revenue, expenses, headcount, cash flow, and runway. Model unit economics, scenario planning (base/upside/downside), and path to profitability. Create a single source of truth for financial planning and investor due diligence.
STEP 0: Pre-Generation Verification
Before generating the HTML output, verify all required data is collected:
Header & Score Banner
-
{{BUSINESS_NAME}}- Company/product name -
{{DATE}}- Report generation date -
{{FORECAST_YEARS}}- Forecast period (e.g., "5-Year") -
{{YEAR5_ARR}}- Year 5 ARR projection (e.g., "$12M") -
{{CURRENT_MRR}}- Current MRR (e.g., "$85K") -
{{RUNWAY}}- Current runway (e.g., "18mo") -
{{LTV_CAC}}- LTV:CAC ratio (e.g., "4.2:1") -
{{YEAR5_HEADCOUNT}}- Year 5 headcount (e.g., "145") -
{{RULE_OF_40}}- Rule of 40 score (e.g., "75")
Executive Summary
-
{{EXECUTIVE_SUMMARY}}- 2-3 paragraphs with model overview and key assumptions -
{{SUMMARY_METRICS}}- 5 key metric cards (ARR, customers, burn, cash, headcount)
Revenue Model
-
{{REVENUE_ASSUMPTIONS}}- 4 assumption cards (ARPU, ARPU growth, starting churn, target churn) -
{{REVENUE_ROWS}}- 5 year rows with customers, ARPU, MRR, ARR, churn, NRR
Cost Structure
-
{{COGS_ROWS}}- 5 year rows with revenue, COGS, gross profit, gross margin -
{{OPEX_YEAR_HEADERS}}- Year column headers for OpEx table -
{{OPEX_ROWS}}- S&M, R&D, G&A rows with 5 year data + total row
Headcount
-
{{HEADCOUNT_YEAR_HEADERS}}- Year column headers -
{{HEADCOUNT_ROWS}}- Department rows (Eng, Product, Sales, Marketing, CS, G&A) + total
Unit Economics
-
{{UNIT_ECON_CARDS}}- 3 cards (CAC, LTV, LTV:CAC with formulas and benchmarks) -
{{UNIT_ECON_ROWS}}- 5 year rows with CAC, LTV, LTV:CAC, payback, magic #
Cash Flow
-
{{CASHFLOW_METRICS}}- 4 metric cards (burn, cash, runway, next raise) -
{{CASHFLOW_ROWS}}- 5 year rows with revenue, expenses, net burn, fundraising, cash balance
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.
- 7d ago First seen · 882 lines · 46 tokens per session scan A 6d8c16175c74
financial-model-architect is a command published in the GitHub repository maigentic/stratarts (39 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 9,504 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.
Other commands, from other repositories
cost
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close-review
Month-end close / GL compliance check — invokes accounting-reviewer to produce TM-accounting-{slug}.md with double-entry integrity, ASC 606 revenue-recognition, period-lock, and SOX ITGC gaps.
procurement-review
Procurement / source-to-pay compliance check — invokes procurement-reviewer to produce TM-procurement-{slug}.md with three-way match, segregation-of-duties, OFAC-screening, and SOX procurement-controls gaps.
tax-review
Tax-filing compliance check — invokes tax-reviewer to produce TM-tax-{slug}.md with MeF e-file schema, Form 8879, PTIN/Circular 230, and IRC §7216 consent gaps.
research
Professional equity research analysis with institutional-grade formatting.
psql-query
Run ad-hoc PostgreSQL analytics queries against dev/test database.