auto-co-meta: Skill for Claude Code

.claude/skills/startup-financial-modeling/SKILL.md

startup-financial-modeling is a skill for Claude Code from NikitaDmitrieff/auto-co-meta. It costs 58 tokens per session (2,787 once invoked), scanned A, original, MIT.

A guide for building three- to five-year financial projections for an early-stage startup. It covers expected sales, costs, cash movement, and different business scenarios.

In plain words
What is it for?
Use it to forecast revenue, estimate customer growth and acquisition costs, calculate burn rate and runway, model cash flow, and compare startup scenarios.
Why use it?
It turns assumptions about customers, pricing, retention, and spending into figures that can support planning, fundraising, and operational decisions.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

This is NikitaDmitrieff/auto-co-meta's own configuration. It tells Claude Code how to work on auto-co-meta itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything auto-co-meta configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NikitaDmitrieff/auto-co-meta. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NikitaDmitrieff/auto-co-meta/main/.claude/skills/startup-financial-modeling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/NikitaDmitrieff/auto-co-meta

Made for: Claude Code.

Wrote 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.

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README.md
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<a href="https://agentmods.dev/skills/nikitadmitrieff/auto-co-meta/startup-financial-modeling"><img src="https://agentmods.dev/badge/skills/nikitadmitrieff/auto-co-meta/startup-financial-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.02787
Opus 5 $0.00029 $0.01393
Sonnet 5 $0.00012 $0.00557
Haiku 4.5 $0.00006 $0.00279

Measured 11d ago against content hash 856b007c7dbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

startup-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 11d 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.

.claude/skills/startup-financial-modeling/SKILL.md · 495 lines

How it starts

The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Startup Financial Modeling

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.

Overview

Financial modeling provides the quantitative foundation for startup strategy, fundraising, and operational planning. Create realistic projections using cohort-based revenue modeling, detailed cost structures, and scenario analysis to support decision-making and investor presentations.

Core Components

Revenue Model

Cohort-Based Projections: Build revenue from customer acquisition and retention by cohort.

Formula:

MRR = Σ (Cohort Size × Retention Rate × ARPU)
ARR = MRR × 12

Key Inputs:

  • Monthly new customer acquisitions
  • Customer retention rates by month
  • Average revenue per user (ARPU)
  • Pricing and packaging assumptions
  • Expansion revenue (upsells, cross-sells)

Cost Structure

Operating Expenses Categories:

  1. Cost of Goods Sold (COGS)

    • Hosting and infrastructure
    • Payment processing fees
    • Customer support (variable portion)
    • Third-party services per customer
  2. Sales & Marketing (S&M)

    • Customer acquisition cost (CAC)
    • Marketing programs and advertising
    • Sales team compensation
    • Marketing tools and software
  3. Research & Development (R&D)

    • Engineering team compensation
    • Product management
    • Design and UX
    • Development tools and infrastructure
  4. General & Administrative (G&A)

    • Executive team
    • Finance, legal, HR
    • Office and facilities
    • Insurance and compliance

Cash Flow Analysis

Components:

  • Beginning cash balance
  • Cash inflows (revenue, fundraising)
  • Cash outflows (operating expenses, CapEx)
  • Ending cash balance
  • Monthly burn rate
  • Runway (months of cash remaining)

Formula:

Runway = Current Cash Balance / Monthly Burn Rate
Monthly Burn = Monthly Revenue - Monthly Expenses

Headcount Planning

Role-Based Hiring Plan: Track headcount by department and role.

Read the full file on GitHub · 495 lines

Changes

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.

  1. 11d ago First seen · 495 lines · 58 tokens per session scan A 856b007c7dbf

Subscribe to this mod's changes

startup-financial-modeling is a skill published in the GitHub repository NikitaDmitrieff/auto-co-meta (43 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 2,787 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 2026-08-30.

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