# Fundamental Stock Analysis

> Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, confidence modifiers). Use when a user asks to analyze one or more stock tickers, compare peers, choose a best pick, or produce a fundamentals-based verdict.

- Skill: `dvcrn/fundamental-stock-analysis` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add dvcrn/fundamental-stock-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/fundamental-stock-analysis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/fundamental-stock-analysis

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# fundamental-stock-analysis

1. Read `references/playbook.md` before starting analysis.
2. Follow the playbook steps exactly (input parse -> data collection -> quick screen -> scoring -> rating -> output).
3. For multi-ticker requests, analyze each ticker first, then rank peers and select best pick with invalidation triggers.
4. Always include confidence level and call out stale/conflicting data explicitly.
5. Do not append any machine-readable JSON block in user-facing output.
6. Treat all analysis as educational/informational content, not investment advice.

## Security scope (clarification)
- Use web retrieval only for ticker-relevant financial statements, filings, market/fundamental datasets, and relevant financial news.
- Do not request, handle, or expose credentials/secrets.
- Do not perform command execution, local file discovery unrelated to analysis, or arbitrary URL exploration outside ticker-relevant finance/news scope.

## Non-goals
- Data exfiltration or collection of private/non-public information.
- Browser/automation tasks outside equity fundamental analysis and citation gathering.

## Output discipline
- Keep conclusions decisive and risk-aware.
- Separate business quality, balance-sheet safety, and valuation.
- Never fabricate missing metrics; mark `NA`.