Skills creating-financial-models
📦

creating-financial-models

Content revision r1 Safe ⚙️ External commands

Build Financial Models and DCF Valuations

Financial valuation requires consistent assumptions, cash flow projections, and risk testing. This skill provides reusable DCF and sensitivity tools for structured investment analysis.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "creating-financial-models" from https://skillstore.io/skills/anthropics-creating-financial-models.md and its manifest at https://skillstore.io/api/skills/anthropics-creating-financial-models/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

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Markdown detail GET /skills/anthropics-creating-financial-models.md Signed manifest GET /api/skills/anthropics-creating-financial-models/manifest Signed lockfile GET /api/skills/anthropics-creating-financial-models/lockfile

Test it

Using "creating-financial-models". Value a company with five years of projections, a 9.5% WACC, 3% terminal growth, and $200 million net debt.

Expected outcome:

A valuation summary presents projected free cash flow, terminal value, enterprise value, equity value, and the contribution from terminal value.

Using "creating-financial-models". Test WACC from 8% to 12% and terminal growth from 2% to 4%.

Expected outcome:

A two-way table compares enterprise values for every assumption pair and highlights the resulting valuation range.

Using "creating-financial-models". Compare downside, base, and upside cases using probabilities of 25%, 50%, and 25%.

Expected outcome:

A scenario table reports each case value, probability, weighted value, and the combined expected value.

Security Audit

Safe
v10 • 7/12/2026 Open versioned report

All six static findings are false positives. The Python findings are ordinary binary-search arithmetic, while the SKILL.md findings are Markdown code formatting for script names.

3
Files scanned
1,095
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (2)
SKILL.md:147 SKILL.md:148
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

anthropics. (2026). creating-financial-models security audit report (audit version 10) [Author version unspecified]. Skillstore. https://skillstore.io/skills/anthropics-creating-financial-models/audits/10

BibTeX citation

@techreport{anthropics-anthropics-creating-financial-models-2026, author = {anthropics}, title = {creating-financial-models security audit report (audit version 10)}, institution = {Skillstore}, year = {2026}, number = {10}, url = {https://skillstore.io/skills/anthropics-creating-financial-models/audits/10}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "creating-financial-models security audit report (audit version 10)" version: "unspecified" type: report authors: - name: "anthropics" date-released: "2026-07-12" url: "https://skillstore.io/skills/anthropics-creating-financial-models/audits/10" identifiers: - type: other value: "skillstore:anthropics-creating-financial-models:audit:10" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
70
Community
83
Spec Compliance

What You Can Build

Value a Public Company

Build a DCF from historical results, operating assumptions, market inputs, debt, cash, and share count.

Test Acquisition Assumptions

Compare valuation outcomes across discount rates, terminal growth rates, margins, and probability-weighted scenarios.

Evaluate Project Economics

Identify breakeven assumptions and rank the variables with the greatest effect on expected project value.

Try These Prompts

Prepare Model Inputs 
Organize these historical financials and assumptions for a five-year DCF. Identify missing inputs and state every unit clearly.
Build a DCF Valuation 
Use the included DCF model to project cash flows and estimate enterprise value. Show WACC components and terminal value assumptions.
Test Key Value Drivers 
Run two-way sensitivity analysis for WACC and terminal growth. Summarize the valuation range and identify unstable assumptions.
Compare Strategic Scenarios 
Create downside, base, and upside scenarios with probability weights. Add tornado and breakeven analyses for the most important operating variables.

Best Practices

  • Document data sources, units, dates, and assumptions before running the model.
  • Validate WACC, terminal growth, margins, and exit multiples against current market evidence.
  • Compare DCF results with market multiples and stress tests before making a decision.

Avoid

  • Do not use default assumptions as company-specific forecasts without independent validation.
  • Do not rely on one terminal value method or one scenario as the final answer.
  • Do not treat model output as financial advice or a guarantee of future performance.

Frequently Asked Questions

What financial data should I provide?
Provide three to five years of revenue, EBITDA, capital expenditure, working capital, debt, cash, and share data.
Which terminal value methods are supported?
The DCF engine supports perpetuity growth and exit multiple methods.
Can this skill calculate WACC?
Yes. It calculates WACC from the risk-free rate, beta, market premium, debt cost, capital structure, and tax rate.
Does the included code run Monte Carlo simulations?
No. SKILL.md describes Monte Carlo analysis, but the included Python scripts do not implement a simulation function.
Can it export an Excel workbook?
No. The included scripts produce arrays, data frames, dictionaries, and text summaries without an Excel export function.
Is the valuation suitable for investment decisions?
Use it as an analytical starting point. Validate assumptions, compare other methods, and seek qualified financial advice when appropriate.

Developer Details

Author

anthropics

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Repository

https://github.com/anthropics/anthropic-cookbook/tree/main/skills/custom_skills/creating-financial-models

Ref

d71c7417a35d5c2624161bd2fe8de8a41a362128

Maintenance freshness

7/18/2026

Usage

15 downloads · 174 views

File structure

📄 dcf_model.py

📄 sensitivity_analysis.py

📄 SKILL.md