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 magnus919/agent-skills --skill financial-modelinggit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/financial-modeling)<a href="https://agentmods.dev/skills/magnus919/agent-skills/financial-modeling"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/financial-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/magnus919/agent-skills/financial-modeling"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/financial-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00088 | $0.01169 |
| Opus 5 | $0.00044 | $0.00584 |
| Sonnet 5 | $0.00018 | $0.00234 |
| Haiku 4.5 | $0.00009 | $0.00117 |
Grade A, and why
financial-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 8d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Modeling
Use transparent assumptions, clearly labeled periods and units, and base/upside/downside scenarios. A model is a tool for exploring the implications of assumptions, not a prediction.
Analytical-aid boundary: This skill provides analytical frameworks, not financial, investment, tax, accounting, or legal advice. Verify inputs and calculations, and consult qualified professionals for decisions that require them.
When to Use
Load this skill when the task involves:
- Building or reviewing a P&L, balance sheet, cash-flow, revenue, cost, or runway model
- Calculating CAC, LTV, contribution margin, CAC payback, or segment-level unit economics
- Evaluating pricing, packaging, price changes, or monetization
- Preparing fundraising scenarios, a cap table, valuation analysis, or term-sheet questions
- Analyzing SaaS ARR/MRR, churn, retention, NDR, Rule of 40, Magic Number, or burn multiple
- Running sensitivity analysis or comparing base, upside, and downside cases
When Not to Use
- For statistical inference, experiment design, causal analysis, or general model selection, use
data-scientist. - For insurance, actuarial, claims, reserving, solvency, credibility, tail-risk, or financial-risk statistical models, use
actuarial-risk-modeling. - For the narrow question of whether a startup reaches profitability before cash runs out, use
yc-default-alive-calculator. - Do not use this skill as a substitute for licensed financial, investment, tax, accounting, or legal advice.
- Enterprise pricing negotiations, jurisdiction-specific securities rules, and tax/accounting treatment need specialist review beyond this skill.
Reference Guide
Load only the reference relevant to the task:
| Reference | Load when |
|---|---|
| Unit economics | Calculating CAC, LTV, payback, gross margin, or contribution margin |
| Financial modeling | Building linked statements, revenue and cost models, scenarios, or runway |
| Pricing strategy | Evaluating value, packaging, tiers, price changes, or elasticity |
| Fundraising | Reviewing valuation methods, cap tables, term sheets, or fundraising process |
| SaaS metrics | Defining and interpreting ARR, churn, NDR, Rule of 40, Magic Number, or burn multiple |
| Source index | Reviewing provenance, porting scope, source URLs, and currency boundaries |
What ships with it
14 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.
- evals/evals.json 11 KB
- README.md 4.0 KB
- references/financial-modeling.md 4.1 KB
- references/fundraising.md 3.5 KB
- references/pricing-strategy.md 3.7 KB
- references/saas-metrics.md 4.0 KB
- references/source-index.md 2.0 KB
- references/unit-economics.md 3.2 KB
- scripts/saas-metrics.py 7.9 KB runs code
- scripts/test_saas_metrics.py 8.1 KB runs code
- templates/fundraising-scenario.md 3.1 KB
- templates/model-sanity-checklist.md 2.5 KB
- templates/pricing-decision-record.md 2.2 KB
- templates/unit-economics-record.md 2.2 KB
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.
- 8d ago Changed · +1 lines · +16 tokens per session 786b87b78e41
- 11d ago First seen · 84 lines · 72 tokens per session scan A d953cd761cdc
financial-modeling is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 1,169 once invoked, about $0.0004 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.
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