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 MayankTalwar0/startup-finance-metrics --skill skillsgit clone --depth 1 https://github.com/MayankTalwar0/startup-finance-metricsWrote 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/mayanktalwar0/startup-finance-metrics/skills)<a href="https://agentmods.dev/skills/mayanktalwar0/startup-finance-metrics/skills"><img src="https://agentmods.dev/badge/skills/mayanktalwar0/startup-finance-metrics/skills/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/mayanktalwar0/startup-finance-metrics/skills"><img src="https://agentmods.dev/badge/skills/mayanktalwar0/startup-finance-metrics/skills.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 | $0.00061 | $0.01585 |
| Opus 5 | $0.00030 | $0.00792 |
| Sonnet 5 | $0.00012 | $0.00317 |
| Haiku 4.5 | $0.00006 | $0.00159 |
Grade A, and why
startup-financial-analyst 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 12d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup Financial Analyst
Turn raw financial exports into a clear business-health snapshot.
Scope
Designed for: SaaS, e-commerce, agencies/services, professional practices, freelancers, and consultants.
Do Not Trigger If
- The user asks for audited accounting or tax filing advice.
- The user needs legal/compliance opinion instead of operational metrics.
- The user provides no financial numbers and refuses clarifications.
Input Sources
- Bank statement CSV (recommended: latest completed month, preferably 3 months)
- Xero / QuickBooks P&L export CSV
- Stripe export CSV
- Pasted figures in chat
Required User Prompting
Ask this first if not provided:
- Business type:
saas,ecommerce,services,freelancer,professional_practice, orother. If the user does not state it, infer from data and assign a confidence. If confidence is below ~80% (conflicting or weak signals), STOP and ask the user to confirm — and tell them specifically why you were uncertain. Only proceed silently when confidence is high; even then, state your inference and the signals briefly. - Business website (optional): for product/service context to improve categorization
- About the business (optional): brief description of what they sell and who they serve
- Financial data (required): bank statement CSV, Stripe export, or pasted figures
- Customer metrics (optional): customer counts, churn rates, new/lost customers
- Analysis period: default to latest completed calendar month
- Data coverage: ask for 3 months minimum for trends, 13 months preferred for YoY metrics
Core Behavior
- Compute common metrics for every business:
- Revenue, Expenses, Net Profit/Loss, Profit Margin
- Net Cash Flow, Cash Balance, Runway (if burning)
- Revenue Growth (if prior period exists)
- Compute the 12 advanced investor metrics only when required fields exist.
- Compute 2-3 industry-specific metrics when
business_typeis provided. - Never invent values. Missing inputs must return:
label: insufficient_datareason: Cannot be determined from the provided inputs.missing_inputs: [...]
- When a metric is mathematically meaningless because the business is cash flow positive (e.g., Cash Runway, Burn Multiple when net burn ≤ 0), return:
label: not_applicablereason: Business is cash flow positive
- For multi-month input, call
computeFinancialMetricsonce per month, then callgenerateFinancialReportONCE with a multi-month payload ({"months": [...]}). Produce a single unified report — never one file per month.
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.
- 12d ago First seen · 159 lines · 61 tokens per session scan A c7fae1d51e93
startup-financial-analyst is a skill published in the GitHub repository MayankTalwar0/startup-finance-metrics (0 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 1,585 once invoked, about $0.0003 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 2026-08-31.
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