dcf-model SKILL.md skillA

dcf-model from ginlix-ai/langalpha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ginlix-ai/langalpha/dcf-model@git:20261104.2a15210

Pins git:20261104.2a15210 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ginlix-ai/langalpha
Path
plugins/langalpha_research/skills/dcf-model/SKILL.md
Versions recorded
4
Latest version
git:20261104.2a15210, committed Nov 4, 2026
First version recorded
Aug 26, 2026
Size
30,676 bytes
Repository stars
2,249
License
Apache-2.0

Build a DCF valuation in Excel: FCF projections, WACC, terminal value, scenarios, sensitivity grids, reverse DCF. Triggers on build a DCF, what is it worth, intrinsic value, fair value, price target from cash flows.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# DCF Model Builder

Builds an institutional-quality DCF as a live Excel workbook: four sheets, three scenarios, three sensitivity grids, and a valuation a portfolio manager can argue with. A model that computes correctly and says nothing about the stock is half the job, so the construction rules and the judgement rules below are one document.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first figure enters the workbook.

- `recalc.py` reports errors, the case selector does not move the model, or the valuation looks wrong: read `.agents/skills/dcf-model/TROUBLESHOOTING.md`.
- The revenue build needs the drivers of a particular sector, or the company is a bank, an insurer, a miner or a REIT: read `.agents/skills/dcf-model/references/sector-drivers.md`.

## Tools

- **fundamentals MCP**: `get_financial_statements`, `get_financial_ratios`, `get_growth_metrics`, `get_historical_valuation`; diluted shares come from here
- **macro MCP**: `get_treasury_rates`, `get_market_risk_premium`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ginlix-ai/langalpha/dcf-model@sha256:3c7f03049944a83b

The line at the top of this page pins the label git:20261104.2a15210, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hhs6b26m7mpajqxt.svg)](https://markdownregistry.com/a/art_hhs6b26m7mpajqxt)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 26, 2026 and Nov 4, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
git:20261104.2a15210 latest2026-11-04 2a15210 30,676 BA view · diff
git:20260921.26f807b2026-09-21 26f807b 30,620 BA view · diff
git:20260915.99ad8262026-09-15 99ad826 30,640 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 42,353 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (30676 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ginlix-ai/langalpha · 2,249 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hhs6b26m7mpajqxt
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/dcf-model
GET https://markdownregistry.com/api/v1/blob/3c7f03049944a83b467f9d50a6a763d3329e17a001f996c9a2448aa131fbdb07

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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