# Dcf Methodology

> Use when computing or discussing DCF valuation — establishes OloLand's deterministic DCF conventions (units, defaults, terminal value, WACC, sensitivity bands) so model output is reproducible and comparable across deals.

## Facts
- Page: https://tashan.sh/capability/skill-ololand-ai-dcf-methodology
- tashan id: skill:ololand-ai/dcf-methodology
- Source: https://github.com/ololand-ai/ololand-plugins
- Type: skill
- Category: finance
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 79.0
- Freshness: 94.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r dcf-methodology ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.