Agent skill

Financial Model

by davepoon in davepoon/buildwithclaude

Run deterministic financial models for startup valuation and SaaS health analysis.

MITAuto-check passedBusiness, Finance & HR

Install Financial Model

skills CLI
$ npx skills add davepoon/buildwithclaude --skill financial-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davepoon/buildwithclaude financial-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/venture-capital-intelligence/skills/financial-model .claude/skills/financial-model && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
financial-model
GitHub stars
3.6k
Token cost
~1.1k tokens
SKILL.md length
301 words
Files
3 (incl. scripts)
Skills in repo
245
Repo updated
First seen
Licence
MIT

At a glance

Run deterministic financial models for startup valuation and SaaS health analysis.

  • Works in 5 steps: COLLECT FINANCIAL DATA → CLAUDE: PREPARE MODEL INPUTS → PYTHON: RUN ALL THREE MODELS → …
  • Tasks that involve Financial modeling
  • SKILL.md covers STEP 1 — COLLECT FINANCIAL DATA, STEP 2 — CLAUDE: PREPARE MODEL…, STEP 3 — PYTHON: RUN ALL THREE… and STEP 4 — CLAUDE: INTERPRET AND…, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

Financial Model is an agent skill from davepoon/buildwithclaude. Run deterministic financial models for startup valuation and SaaS health analysis. Triggered by: "/venture-capital-intelligence:financial-model", "run a financial model on X", "DCF this company", "model the financials", "calculate runway", "what is the valuation", "SaaS metrics model", "LTV CAC analysis", "unit economics", "burn rate analysis", "comparable valuation", "how long is my runway", "what's my burn multiple", "revenue projection for X", "model the ARR growth", "what is the pre-money valuation", "comps…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/financial_calc.py` and `scripts/report_formatter.py`).

It sits in Business, Finance & HR, covering Financial modeling. It works with Python. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • Tasks that involve Financial modeling

Example prompts

  • “/venture-capital-intelligence:financial-model”
  • “run a financial model on X”
  • “DCF this company”
  • “/financial-model”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. COLLECT FINANCIAL DATA
  2. CLAUDE: PREPARE MODEL INPUTS
  3. PYTHON: RUN ALL THREE MODELS
  4. CLAUDE: INTERPRET AND SYNTHESIZE
  5. PYTHON: FORMAT FINAL REPORT

What it can do on your machine

Read from SKILL.md and the folder at commit 10bfc43. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Financial Model loads about 1.1k tokens when it runs. Until then it costs about 179 tokens; SKILL.md has 301 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~179
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from davepoon/buildwithclaude at commit 10bfc43, republished under its MIT licence (© davepoon). 301 words, ~1,113 tokens.

Download SKILL.mdSave it as .claude/skills/financial-model/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
financial-model
description
Run deterministic financial models for startup valuation and SaaS health analysis. Triggered by: "/venture-capital-intelligence:financial-model", "run a financial model on X", "DCF this company", "model the financials", "calculate runway", "what is the valuation", "SaaS metrics model", "LTV CAC analysis", "unit economics", "burn rate analysis", "comparable valuation", "how long is my runway", "what's my burn multiple", "revenue projection for X", "model the ARR growth", "what is the pre-money valuation", "comps analysis", "NRR and churn model", "how healthy are these SaaS metrics". Claude Code only. Requires Python 3.x. Accepts user-supplied numbers or searches for publicly available data.
category
business-finance
platform
claude-code
requires
python3

Venture Capital Intelligence — Financial Model Agent

You are a quantitative VC analyst. You run three valuation methods in parallel and synthesize results into a single financial picture.

Three models: (1) DCF Intrinsic Value, (2) Revenue Multiple (Comps), (3) SaaS Metrics Health Check + Runway

Pipeline: Claude collects data → Python computes all three models → Claude interprets → Python formats report


STEP 1 — COLLECT FINANCIAL DATA

Ask the user for or extract from context:

COMPANY BASICS
  Company name, sector, stage, geography

REVENUE METRICS (SaaS)
  Current MRR or ARR
  MRR growth rate (% month-over-month)
  Net Revenue Retention (NRR) %
  Gross margin %

UNIT ECONOMICS
  Customer Acquisition Cost (CAC) — total sales+marketing spend / new customers
  Average Revenue Per User (ARPU) — monthly
  Monthly churn rate %
  Average customer lifetime (months, or compute as 1/churn)

BURN & RUNWAY
  Current monthly burn rate
  Cash on hand (current bank balance)
  Last raise amount and date

PROJECTIONS (optional)
  Year 1–3 revenue projections (or growth rate assumption)
  Target gross margin at scale
  WACC or discount rate (default: 20% for early stage)

COMPARABLES (optional)
  2–3 comparable public or recently acquired companies
  Their EV/Revenue multiples if known

If data is partially available, compute what's possible and flag gaps with ⚠.


STEP 2 — CLAUDE: PREPARE MODEL INPUTS

Save all inputs to ${CLAUDE_PLUGIN_ROOT}/skills/financial-model/output/model_inputs.json:

json
{
  "company": "",
  "stage": "",
  "sector": "",
  "mrr": 0,
  "arr": 0,
  "mrr_growth_rate": 0.0,
  "nrr": 0.0,
  "gross_margin": 0.0,
  "cac": 0,
  "arpu_monthly": 0,
  "monthly_churn": 0.0,
  "monthly_burn": 0,
  "cash_on_hand": 0,
  "discount_rate": 0.20,
  "terminal_growth_rate": 0.03,
  "projection_years": 5,
  "revenue_yr1": 0,
  "revenue_yr2": 0,
  "revenue_yr3": 0,
  "comparables": [
    {"name": "", "ev_revenue_multiple": 0}
  ]
}

Derive: if MRR is provided but ARR is not, set arr = mrr * 12. If churn is provided but lifetime is not, compute customer_lifetime = 1 / monthly_churn.


STEP 3 — PYTHON: RUN ALL THREE MODELS

Run: python "${CLAUDE_PLUGIN_ROOT}/skills/financial-model/scripts/financial_calc.py"

This computes:

  1. DCF Intrinsic Value — projects free cash flows over 5 years, adds terminal value, discounts at WACC
  2. Revenue Multiple Valuation — ARR × stage-appropriate multiple (Seed: 10–15×, Series A: 8–12×, Series B: 5–8×)
  3. SaaS Health Metrics — LTV, CAC, LTV:CAC ratio, payback period, burn multiple, Rule of 40 score

Writes model_output.json.


STEP 4 — CLAUDE: INTERPRET AND SYNTHESIZE

Read model_output.json. Provide interpretation:

  • Valuation range: synthesize DCF + comps into a defensible range with explanation
  • SaaS health verdict: HEALTHY / WATCH / CRITICAL based on key ratios
  • Benchmark comparison: compare metrics to stage benchmarks (Seed: 15–20% MoM; Series A: ARR $1–3M, NRR > 100%)
  • Capital efficiency commentary: is burn multiple < 2x? Is this a "default alive" or "default dead" company?
  • Key insight: one most important financial insight from the data

STEP 5 — PYTHON: FORMAT FINAL REPORT

Run: python "${CLAUDE_PLUGIN_ROOT}/skills/financial-model/scripts/report_formatter.py"


ERROR HANDLING

  • Missing revenue data: compute partial models only (runway and burn multiple always computable if burn + cash given)
  • Negative or zero churn: cap churn at 0.1% minimum for LTV computation
  • No comparables: use stage-default multiples and flag assumption

© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in plugins/venture-capital-intelligence/skills/financial-model of davepoon/buildwithclaude.

  • SKILL.md
  • scripts/financial_calc.py
  • scripts/report_formatter.py

Open the folder on GitHubat commit 10bfc43

Compare with similar skills

Financial Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Financial Model this skilldavepoon/buildwithclaude3.6k—~1.1kAutomated safety check: PassMIT
Dcf ModelWind-Alice/AliceMarket1303 repos~12kAutomated safety check: PassNone
Dcf ModelLuciole-Studio/Misaka-Agent1392 repos~12kAutomated safety check: PassApache-2.0
Three-Statement Model Builderginlix-ai/LangAlpha1.8k—~5.4kAutomated safety check: PassApache-2.0
Stock Deep Analysis Workflowwbh604/UZI-Skill7.1k—~9.1kAutomated safety check: NotesMIT
Backtest Execution ModelingHKUDS/Vibe-Trading35k—~2.9kAutomated safety check: PassMIT

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Works with

Questions about Financial Model

What does Financial Model do?

Run deterministic financial models for startup valuation and SaaS health analysis. Financial Model is an agent skill from davepoon/buildwithclaude. Run deterministic financial models for startup valuation and SaaS health analysis.

When should I use Financial Model?

Financial Model fits situations like: tasks that involve Financial modeling.

How do I install Financial Model in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill financial-model -a claude-code`. Or copy the skill folder (plugins/venture-capital-intelligence/skills/financial-model in davepoon/buildwithclaude) into .claude/skills/financial-model in your project. Claude Code loads it when a task matches its description.

How do I install Financial Model in Codex?

Run `npx skills add davepoon/buildwithclaude --skill financial-model -a codex`. Or copy the skill folder (plugins/venture-capital-intelligence/skills/financial-model in davepoon/buildwithclaude) into .agents/skills/financial-model in your project. Codex loads it when a task matches its description.

Can I use Financial Model in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davepoon/buildwithclaude --skill financial-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/financial-model, .gemini/skills/financial-model, .github/skills/financial-model and .opencode/skills/financial-model in your project.

What does Financial Model need to run?

Going by SKILL.md and its folder, Financial Model needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Financial Model access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Financial Model safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Financial Model use?

Financial Model is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Financial Model use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Financial Model?

Skills that share tags, products or a category with Financial Model: Dcf Model (Wind-Alice/AliceMarket, 130 stars), Dcf Model (Luciole-Studio/Misaka-Agent, 139 stars), Three-Statement Model Builder (ginlix-ai/LangAlpha, 1.8k stars) and Stock Deep Analysis Workflow (wbh604/UZI-Skill, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Financial Model?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,604 GitHub stars. The repository holds 245 skills in this directory. The repository was last updated on October 6, 2026.

Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.