octagonai/skills

historical-financial-ratings

Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.

First seen Feb 2, 2026

Installation

$ npx skills add octagonai/skills --skill historical-financial-ratings

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from octagonai/skills · top by installs.

npx skills add octagonai/skills

Browse all from octagonai/skills

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 Declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 125
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents windsurf

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,061 B
  • docs README.md 1,982 B
  • docs SUMMARY.md 3,936 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 254 installs

SKILL.md

Historical Financial Ratings

Retrieve and analyze historical financial ratings and key metric scores over time for public companies using the Octagon MCP server.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions.

Workflow

1. Identify Analysis Parameters

Determine the following before querying:

  • Ticker: Stock symbol (e.g., NVDA, AAPL, MSFT)
  • Records: Number of historical data points to retrieve (e.g., 100, 500, 2000)

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve historical financial ratings and key metric scores over time for <TICKER>, limited to <N> records.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records."
  }
}

3. Expected Output

The agent returns historical ratings data including:

Date Overall Score Overall Rating ROA Score ROE Score DCF Score D/E Score
2024-01-15 5 A+ 4 4 3 3
2024-01-08 5 A+ 4 4 3 3
2023-12-29 5 A 4 3 3 3
... ... ... ... ... ... ...

Data Sources: octagon-financials-agent

4. Interpret Results

See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:

  • Understanding overall scores and ratings
  • Analyzing individual metric scores
  • Identifying rating trends and changes
  • Spotting financial health improvements or deterioration

Example Queries

Standard Historical Analysis:

Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records.

Recent Ratings Focus:

Retrieve historical financial ratings and key metric scores over time for AAPL, limited to 100 records.

Extended Historical View:

Retrieve historical financial ratings and key metric scores over time for MSFT, limited to 5000 records.

Key Metrics Explained

Metric Definition Score Range
Overall Score Composite financial health rating 1-5 (5 = best)
Overall Rating Letter grade for financial health A+ to F
ROA Score Return on Assets efficiency 1-5 (5 = best)
ROE Score Return on Equity efficiency 1-5 (5 = best)
DCF Score Discounted Cash Flow valuation score 1-5 (5 = best)
D/E Score Debt-to-Equity health 1-5 (5 = lowest debt)

Analysis Tips

  1. Consistent high scores: Companies maintaining 5-star overall scores and A+ ratings over extended periods demonstrate stable financial excellence.
  1. Score improvements: Watch for upward trends in individual metrics (ROA, ROE) as indicators of improving operational efficiency.
  1. Debt management: A stable or improving D/E score suggests the company is managing leverage responsibly.
  1. Rating downgrades: Sudden drops in overall rating (e.g., A+ to B) warrant deeper investigation into financials.
  1. Diverging metrics: If ROE is high but ROA is low, the company may be using significant leverage to boost returns.

Use Cases

  • Investment screening: Filter for companies with consistently high ratings
  • Risk monitoring: Track rating changes for portfolio holdings
  • Due diligence: Review historical financial health before investment decisions
  • Peer comparison: Compare rating trajectories across competitors