# comps-valuation

A Claude and Claude skill that builds comparable-company valuations: picks peers, runs the multiples, and returns a report or an editable workbook.

- skill · `type=skill` · Codex, ChatGPT · ★ 7604
- Author: OpenAI · official OpenAI repository
- License: LicenseRef-Proprietary · policy=link-only · description only; the file stays with the author
- Source: https://github.com/openai/plugins/tree/HEAD/plugins/public-equity-investing/skills/comps-valuation/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/comps-valuation

## What it does

This skill values a public company against its peers. It sorts the peer set into Core, Secondary, Excluded and an optional Watchlist, then works through the multiples, checks whether the metrics are truly comparable, and flags stale figures and outliers. The output says what the current share price already assumes.

Two modes. `report` covers peer framing, the premium or discount to the core set, and an implied value range when the evidence supports one. `workbook` is for Excel or Sheets: formulas, an EV bridge, refreshable peer tables, model updates, or a review of a comps workbook you already have. The skill infers the mode from your request instead of asking.

It is not built for DCF-only work, credit instruments, or general market commentary. Debt enters only as an input to equity value — net debt, leverage, refinancing risk. Bond, loan and CDS analysis belongs to a separate workflow. Before it starts, the skill loads the shared runtime contract from `../public-equity-investing/SKILL.md` and resolves three source categories: company filings and IR, market data and estimates, portfolio models and trackers.

## Install

### Codex (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill comps-valuation -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/comps-valuation/SKILL.md` — For all projects use ~/.agents/skills/

### Claude Code

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill comps-valuation -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/comps-valuation/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/comps-valuation/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/comps-valuation/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install openai/plugins comps-valuation
```

2. **Manually: put the files in place**
- File: `.github/skills/comps-valuation/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/openai/plugins --path plugins/public-equity-investing/skills/comps-valuation
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/comps-valuation/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/openai/plugins/tree/HEAD/plugins/public-equity-investing/skills/comps-valuation/SKILL.md

## When to use it
- pick a peer set and justify every inclusion
- run the multiples and break down the premium or discount
- build a refreshable comps table in Excel or Sheets
- audit an existing comps workbook for stale data and outliers
- show what the current share price already implies

## Example prompts
- Build a comps valuation against the three closest peers and explain what justifies the premium
- Create an Excel comps workbook with formulas and an EV bridge for this company
- Audit my peer table — where is the data stale and which multiples are outliers

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From the same set: [openai/plugins](https://affpapa.org/en/nevibecode/by/openai/plugins.md) — 422 cards

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