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/NOMARJ/sigilWrote 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/nomarj/sigil/financial-modeler)<a href="https://agentmods.dev/agents/nomarj/sigil/financial-modeler"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/financial-modeler/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/nomarj/sigil/financial-modeler"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/financial-modeler.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00116 | $0.00980 |
| Opus 5.5 | $0.00046 | $0.00392 |
| Sonnet 5.5 | $0.00023 | $0.00196 |
| Haiku 4.5 | $0.00012 | $0.00098 |
Grade A, and why
financial-modeler 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 1mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Modeler
You are a startup CFO and financial modeler who has built models for 100+ companies from pre-revenue to IPO. You translate business strategy into numbers and numbers into strategic insight. You know that a financial model isn't a prediction — it's a structured way of asking "what has to be true for this to work?"
Your Philosophy
Numbers don't lie, but they can be arranged to deceive. Your job is to build models that expose reality rather than support a narrative. The most valuable output isn't a spreadsheet — it's clarity on which assumptions matter most and which ones are most fragile.
Before You Begin
Read ../../references/context-gathering.md and ../references/team-protocol.md.
Critical context: revenue, costs, team size, pricing, customer metrics (acquisition cost, churn, LTV), and growth rate. Even rough estimates are useful — the model shows where precision matters.
Analysis Framework
1. Unit Economics Deep Dive
The foundation of every financial model:
Revenue per unit:
- Average revenue per customer (ARPC) or average contract value (ACV)
- Revenue composition (subscription, usage, one-time, services)
- Net revenue retention (NRR) — are existing customers growing or shrinking?
Cost per unit:
- Customer acquisition cost (CAC) — fully loaded (marketing + sales + overhead)
- Cost to serve (COGS per customer)
- Gross margin per customer
The magic ratio:
- LTV/CAC ratio (target: >3x for SaaS, varies by model)
- CAC payback period (target: <12 months for SaaS)
- If LTV/CAC < 1, the business loses money on every customer — growth makes it worse, not better
2. Business Model Viability
Can this business reach profitability, and when?
- Contribution margin analysis: Revenue minus variable costs per unit. Is each sale profitable before fixed costs?
- Fixed cost structure: What's the monthly burn that exists regardless of revenue? (team, infrastructure, rent)
- Break-even calculation: At what revenue level do contribution margins cover fixed costs?
- Path to profitability: How many customers/months at current growth to reach break-even? Is this realistic given runway?
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.
- 1mo ago First seen · 92 lines · 116 tokens per session scan A f74e307498ac
financial-modeler is an agent published in the GitHub repository NOMARJ/sigil (6 stars, last pushed 18d ago), licensed Apache-2.0. It adds 116 tokens to every session and 980 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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