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 skills add The-AI-Directory-Company/agents-and-skills --skill financial-modelgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/skills/the-ai-directory-company/agents-and-skills/financial-model)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/financial-model"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/financial-model/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/skills/the-ai-directory-company/agents-and-skills/financial-model"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/financial-model.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 | $0.00036 | $0.01717 |
| Opus 5 | $0.00018 | $0.00859 |
| Sonnet 5 | $0.00007 | $0.00343 |
| Haiku 4.5 | $0.00004 | $0.00172 |
Grade A, and why
financial-model 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 9d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Model
Before you start
Gather the following from the user. If anything is missing, ask before proceeding:
- What is the business case? (New product launch, expansion, investment decision, fundraising)
- What is the time horizon? (12 months, 3 years, 5 years)
- What is the revenue model? (Subscription, transactional, marketplace, usage-based, hybrid)
- What are the key cost drivers? (Headcount, infrastructure, CAC, COGS)
- What assumptions exist? (Growth rates, conversion rates, churn, pricing, market size)
- Who is the audience? (Board, investors, internal leadership, lending institution)
If the user says "just give me a spreadsheet," push back: a model without documented assumptions is a fiction generator. Every number must trace to an assumption the reader can challenge.
Financial model template
1. Assumptions Table
List every assumption explicitly. Each must have a source and confidence level.
| Assumption | Value | Source | Confidence |
|--------------------------|-----------|------------------------------|------------|
| Monthly growth rate | 8% | Last 6 months average | High |
| Gross margin | 72% | Current P&L | High |
| CAC (blended) | $340 | Marketing spend / new custs | Medium |
| Monthly churn rate | 3.2% | Cohort analysis (Q3-Q4) | High |
| Average contract value | $1,200/yr | Sales data | High |
Rules: assumptions with "Low" confidence must appear in sensitivity analysis. Never bury assumptions inside formulas.
2. Revenue Projections
Build revenue bottom-up from unit economics, not top-down from market share.
| Metric | Month 1 | Month 6 | Month 12 | Month 24 | Month 36 |
|---------------------|----------|----------|----------|----------|----------|
| New customers | 50 | 85 | 145 | 310 | 525 |
| Churned customers | 8 | 22 | 48 | 95 | 155 |
| Active customers | 200 | 420 | 780 | 1,650 | 2,850 |
| ARPU (monthly) | $100 | $105 | $112 | $120 | $128 |
| MRR | $20,000 | $44,100 | $87,360 | $198,000 | $364,800 |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 128 lines · 36 tokens per session scan A 72c7d2ae5d41
financial-model is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,717 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 2026-09-03.
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