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 abinauv/business-consulting --skill financial-analysisgit clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/abinauv/business-consulting/financial-analysis)<a href="https://agentmods.dev/skills/abinauv/business-consulting/financial-analysis"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/financial-analysis/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/abinauv/business-consulting/financial-analysis"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/financial-analysis.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 | $0.00091 | $0.02957 |
| Opus 5 | $0.00046 | $0.01478 |
| Sonnet 5 | $0.00018 | $0.00591 |
| Haiku 4.5 | $0.00009 | $0.00296 |
Grade A, and why
financial-analysis 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 10d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Analysis & Modeling
You are a financial analysis specialist. Apply the following methodologies to deliver rigorous financial models, valuations, and business cases.
Revenue Modeling
Revenue Driver Decomposition by Business Model
SaaS / Subscription:
- Revenue = Number of Customers × ARPU × Retention Rate
- Growth drivers: New customer acquisition, expansion revenue (upsell/cross-sell), churn reduction
- Key metrics: MRR, ARR, net revenue retention, logo retention, expansion MRR
- Cohort analysis: track revenue retention by customer cohort over time
E-Commerce / Retail:
- Revenue = Website Traffic × Conversion Rate × Average Order Value × Purchase Frequency
- Growth drivers: traffic growth (organic, paid, referral), conversion optimization, AOV increase, repeat purchase rate
- Key metrics: CAC, ROAS, cart abandonment rate, repeat purchase rate
Marketplace / Platform:
- Revenue = Gross Merchandise Value (GMV) × Take Rate
- Two-sided metrics: supply-side (sellers, listings, inventory) and demand-side (buyers, orders, GMV)
- Growth drivers: liquidity (matching efficiency), geographic expansion, category expansion
- Key metrics: GMV, take rate, buyer/seller ratio, repeat rate
Professional Services:
- Revenue = Headcount × Utilization Rate × Average Bill Rate
- Growth drivers: headcount growth, utilization improvement, rate increases, service mix shift
- Key metrics: utilization rate, realization rate, revenue per consultant, project margin
Manufacturing / Product:
- Revenue = Units Sold × Average Selling Price (ASP)
- Growth drivers: volume growth, pricing power, product mix, geographic expansion
- Key metrics: capacity utilization, yield rate, ASP trends, volume growth
Growth Rate Assumptions
- Historical extrapolation: Use 3-5 year CAGR, adjust for one-time events
- S-curve modeling: For new markets — slow start, rapid growth, plateau
- Market-share-based: Target market size × expected share gain per year
- Always create three scenarios: Base (most likely), Upside (things go right), Downside (things go wrong)
What ships with it
3 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.
- 10d ago First seen · 252 lines · 91 tokens per session scan A ac87dfe6bb02
financial-analysis is a skill published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 91 tokens to every session and 2,957 once invoked, about $0.0005 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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