oldhouse-g/openclaw-skills · Archived

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).

First seen Apr 1, 2026

Installation

$ npx skills add oldhouse-g/openclaw-skills --skill fundamental-stock-analysis

Summary

  • 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.

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 3
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,662 B
  • docs SUMMARY.md 346 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

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.