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Dcf Model

Official
anthropics·vlatest·data·Apache-2.0

Anthropics' DCF-Model predicts future cash flows and valuations based on provided financial data and assumptions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/financial-services --skill dcf-model -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/financial-services-plugins at 574ed3624a.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
574ed3624a
Manifest
plugins/agent-plugins/pitch-agent/skills/dcf-model/SKILL.md
Scanned
12 files, 4,584 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The dcf-model skill enables AI agents to perform discounted cash flow (DCF) analysis for financial valuation. It processes user-provided inputs like revenue growth rates, margins, and discount rates to calculate enterprise value and equity value. This tool is designed specifically for financial services contexts where quantitative modeling is required.

When to use it

  • Valuing a startup or public company based on projected future cash flows.
  • Comparing the intrinsic value of an asset against its current market price.
  • Estimating investment returns by inputting specific growth assumptions and terminal values.
  • Generating a structured financial report that includes key DCF metrics like WACC and NPV.

Key capabilities

  • Calculates enterprise value using standard DCF methodology.
  • Derives equity value from the calculated enterprise value.
  • Accepts custom inputs for revenue, margins, growth rates, and discount rates.
  • Outputs a clear summary of valuation results suitable for financial review.

Example prompts

  • "Calculate the DCF valuation for a SaaS company with $10M current revenue, 20% annual growth, and a 10% terminal growth rate."
  • "Estimate the equity value of a manufacturing firm assuming a WACC of 8% and free cash flows growing at 5% indefinitely."
  • "Run a DCF model with an initial revenue of $5M, expanding margins to 40%, and a discount rate of 12%."

Tips & gotchas

Ensure you provide accurate and realistic financial assumptions, as the output is only as reliable as the inputs. This skill is strictly for valuation modeling; it does not perform live market data lookups or audit existing financial statements.