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 charlieviettq/awesome-agent-skill --skill fin-modelinggit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/fin-modeling)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/fin-modeling"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-modeling/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/charlieviettq/awesome-agent-skill/fin-modeling"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-modeling.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 | $0.00096 | $0.01391 |
| Opus 5 | $0.00048 | $0.00696 |
| Sonnet 5 | $0.00019 | $0.00278 |
| Haiku 4.5 | $0.00010 | $0.00139 |
Grade A, and why
"fin-modeling" 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.
This is a copy
91% identical to fin-modeling — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Three-Statement Financial Modeling
Framework
IRON LAW: The Three Statements Must Balance
Assets = Liabilities + Equity (Balance Sheet identity)
Net Income flows from IS to BS (retained earnings)
Cash flow bridges IS and BS through working capital and capex
If your model doesn't balance, there's an error. Check the cash line on
the BS against the ending cash on the CF statement. They MUST match.
Model Architecture
[Assumptions Page] → drives everything
↓
[Income Statement] → Revenue, costs, taxes → Net Income
↓
[Balance Sheet] → Assets, liabilities, equity → must balance
↓
[Cash Flow Statement] → Start cash + Operating + Investing + Financing = End cash
↓
[Outputs: DCF, Returns, Scenarios]
Revenue Forecasting Methods
| Method | How | Best For |
|---|---|---|
| Top-down | Market size × market share × price | New markets, macro-driven |
| Bottom-up | Units × price, or customers × ARPU | Established products, SaaS |
| Run-rate | Current monthly × 12, adjusted for growth | Near-term projections |
| Cohort-based | New cohort revenue + existing cohort retention | Subscription businesses |
Key Assumptions to Document
| Category | Assumptions |
|---|---|
| Revenue | Growth rate, pricing, volume, churn (if subscription) |
| COGS | Gross margin trajectory, input cost inflation |
| OpEx | Headcount plan, salary inflation, marketing as % of revenue |
| Working Capital | DSO (days sales outstanding), DPO (days payable), DIO (days inventory) |
| CapEx | Capital expenditure as % of revenue or specific projects |
| Tax | Effective tax rate, tax loss carryforwards |
| Financing | Debt schedule, interest rates, equity raises |
Building Steps
Phase 1: Assumptions
- Document all assumptions on a dedicated page
- Color code: blue = input, black = formula, green = linked from another sheet
- Each assumption must have a source or rationale
Phase 2: Income Statement 4. Build revenue line from assumptions 5. COGS and gross profit 6. Operating expenses by category 7. EBITDA, depreciation, EBIT 8. Interest, taxes, net income
What ships with it
2 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 · 135 lines · 96 tokens per session scan A a56203681a15
"fin-modeling" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 1,391 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to fin-modeling, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
bim-cost-estimation-cwicr
Automated cost estimation from BIM models using DDC CWICR database (8 national bases, 78,228 positions). AI classification + vector search for accurate pricing.
payment-application-processor
Process construction payment applications. Validate schedule of values, calculate retainage, track billing status, and generate G702/G703 forms.
cwicr-bid-analyzer
Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.
cwicr-change-order
Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.
cwicr-cost-calculator
Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.
cwicr-location-factor
Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.