# Analyze Stocks with Graham and Buffett Frameworks

Value investors need consistent analysis across valuation, quality, and financial statements. This skill applies structured Graham and Buffett frameworks with traceable data sources.

## Install

```bash
npx skillstore add longbridge/longbridge-value-investing
```

## Metadata

- Status: approved
- Slug: longbridge-longbridge-value-investing
- Version: 1.0.0
- Author version: 1.0.0
- Skillstore revision: r3
- Version status: not\_bumped
- Tree hash: 9e4804f251a4c1cb8e759c18677001e86c8da784d2fa1a37f7cb7a379550ea99
- Author: longbridge
- GitHub username: longbridge
- License: MIT
- Repository: https://github.com/longbridge/skills/tree/main/skills/longbridge-value-investing
- Ref: 656be3040aef5c047555a908cd5c695d22a4a548
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/longbridge-longbridge-value-investing
- Manifest: https://skillstore.pages.dev/api/skills/longbridge-longbridge-value-investing/manifest

## Capabilities

- Analyzes one stock with Graham NCAV, valuation, dividend, debt, earnings stability, and value-trap checks.
- Screens up to 300 securities using Graham filters and ranks qualified deep-value candidates.
- Evaluates economic moats, financial health, management, valuation, and long-term visibility for one stock.
- Screens Buffett-style quality compounders using quantitative gates followed by qualitative moat scoring.
- Reconciles income, balance-sheet, and cash-flow figures before issuing scores.
- Documents Longbridge and WebSearch sources in a data appendix.

## Use Cases

- Review a Deep-Value Stock: Assess one ticker against Graham criteria, liquidation value, safety margin, and value-trap indicators.
- Research Business Quality: Evaluate a company moat, financial durability, management record, valuation, and expected holding period.
- Build a Candidate List: Screen an index or watchlist for Graham bargains or Buffett-style quality compounders.

## Prompt Templates

### Check One Graham Candidate

```
Analyze {ticker} with the Graham framework. Show NCAV, valuation filters, safety margin, holding period, value-trap warnings, and sources.
```

### Assess One Buffett Candidate

```
Analyze {ticker} using the Buffett moat framework. Rate each dimension, separate business quality from price, and cite every material figure.
```

### Screen a Market Universe

```
Screen {index_or_watchlist} in {market} for {Graham_or_Buffett} candidates. Use default thresholds, explain exclusions, and return ranked results with sources.
```

### Compare Frameworks with Sensitivity

```
Reconcile statements for {ticker}, then compare Graham and Buffett conclusions. Test {threshold_changes}, identify conflicting signals, and explain data limitations.
```

## Limitations

- Primary analysis requires available Longbridge CLI or MCP market data.
- WebSearch is limited to genuine gaps and may not provide complete qualitative evidence.
- Referenced scoring, criteria, and output template files are absent from this package.
- Results are informational and do not replace professional financial advice.

## Best Practices

- Provide a market-qualified ticker or a clearly defined index or watchlist.
- State any threshold changes before screening so results remain comparable.
- Review the source appendix and data limitations before using any score.

## Anti Patterns

- Do not treat a high score as a direct buy or sell recommendation.
- Do not compare NCAV across banks, insurers, REITs, or other excluded financial structures.
- Do not use stale or unreconciled financial statements when current data is available.

## Security Audit

- Audited at: 2026-08-08T10:07:47.239\+00:00
- Summary: All nine static findings are false positives caused by ordinary financial prose, inline Markdown code, or a fenced file tree. No prompt injection, data-exfiltration intent, or other net-new semantic security issue was found.

## Stats

- Views: 0
- Downloads: 17
- Favorites: 1
- Popularity score: 0