Financial Modeling

Community

Ruinius

Financial Modeling

Execute a single deterministic Python script to compute WACC, DCF assumptions, projected free cash flows, enterprise value, and intrinsic value per share. Updates the metadata markdown.

Overview

Publisher	Ruinius
Repository	`financial-analyst-skills`
Skill name	`Financial Modeling`
Stars	5
Forks	1
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Ruinius on GitHub. Read the source before you install it.

Installation

Install the Financial Modeling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Ruinius/financial-analyst-skills/tree/main/skills/financial_modeling
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Ruinius/financial-analyst-skills.git /tmp/financial-analyst-skills
mkdir -p .claude/skills
cp -r /tmp/financial-analyst-skills/skills/financial_modeling .claude/skills/ruinius-financial-modeling

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Financial Modeling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Financial Modeling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Financial Modeling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Financial Modeling (Phase 6)

All modeling logic is consolidated into a single script that executes the complete sequence: WACC → Assumptions → DCF → Intrinsic Value.

Execute the script: python skills/financial_modeling/scripts/calculate.py {TICKER} {TICKER_metadata_path}
Verify it threw no errors.

What the Script Does

Step	Action	Details
1	Fetch Market Data	Calls `tools/market_data.py profile {TICKER}` for share price, beta, market cap
2	Read Historical Data	Parses Financial History table from metadata for L4Q averages
3	Read Qualitative Data	Parses Economic Moat, Margin Outlook, Growth Outlook from metadata
4	Calculate WACC	CAPM with Blume-adjusted beta, capital structure weights
5	Generate Assumptions	Three-stage DCF assumptions blending historical trends + qualitative outlook
6	Run DCF Projections	10-year projections with interpolated growth/margin, terminal value via Gordon Growth
7	Compute Intrinsic Value	Equity bridge: EV + Cash - Debt → Per Share
7b	FX & ADR Conversion	If reporting currency != USD, convert IVPS to USD. Apply ADR ratio to share count if applicable
8	Update Metadata	Replaces WACC, Assumptions, DCF Model, and Intrinsic Value sections in markdown

Prerequisites

output_data/TICKER/TICKER_metadata.md must exist with Financial History and Qualitative Assessment sections
Internet access required for Yahoo Finance market data lookup
Python 3.10+ with yfinance installed

Key Parameters

Parameter	Source	Default
Risk-Free Rate	Hardcoded (TODO: fetch 10Y Treasury)	4.20%
Equity Risk Premium	Hardcoded	5.00%
Terminal Growth	Moat rating: Wide=4%, Narrow=3%, None=2.5%	3.00%
MCT	Derived from IC, default if negative IC	100.0x
Tax Rate (statutory)	Hardcoded for WACC	25%
Tax Rate (NOPAT)	L4Q average adjusted tax rate	Varies
WACC Bounds	Floor 6%, Cap 15%	—
FX Rate	market_data.py if Currency != USD	1.0
ADR Ratio	Parsed from metadata header	1.0

Changelog

2026-05-06: Fixed crash when Yahoo Finance returns null for beta. Added explicit checks for share_price, market_cap, and shares_outstanding.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Financial Modeling AI skill do?

Execute a single deterministic Python script to compute WACC, DCF assumptions, projected free cash flows, enterprise value, and intrinsic value per share. Updates the metadata markdown.

Why use Financial Modeling on TypingMind?

Because you install it once and use it with any model. Financial Modeling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Financial Modeling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ruinius/financial-analyst-skills/tree/main/skills/financial_modeling. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Financial Modeling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Financial Modeling?

As many as you like. As long as a model supports skills, you can use Financial Modeling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Financial Modeling AI skill free?

Yes. It is published on GitHub by Ruinius under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Graincrawl

openclaw

OrganizationPopular

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Openclaw Changelog Update

openclaw

OrganizationPopular

Regenerate OpenClaw release changelog sections from git history before beta, stable, or extended-stable releases.

Openclaw Ci Limits

Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe…

Openclaw Debugging

Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before changing code, including fetching stored…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Financial Modeling (Phase 6)

What the Script Does

Prerequisites

Key Parameters

Changelog

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now