balance-sheet — Claude Code skill: pull company balance sheets
Fetches balance sheet line items for public companies through Octagon MCP: assets, liabilities, equity, net debt. Useful when you need capital structure numbers without manual filing work.
npx skills add OctagonAI/skills --skill balance-sheet -a claude-codeWhat balance-sheet does
The skill turns a plain-language request into an Octagon MCP call and returns a table of absolute figures by year: Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, Net Debt. The query format is short — ticker, record count, and period (FY or Q). Under the hood it calls the octagon-agent tool on the octagon-mcp server, with octagon-financials-agent as the data source.
After the table, the skill walks through observations: how the asset base moved, what it is made of, where equity and net debt are heading. A metrics reference defines each line item, and formulas are computed straight from the output — Debt-to-Equity, Equity Ratio, Working Capital. Edge cases like negative net debt and equity falling from buybacks get their own notes.
You need Octagon MCP configured in your agent first, or the call will not go through. Setup steps live in references/mcp-setup.md inside the skill. Worth checking that config before your first run, otherwise you get an empty response instead of a table.
What it helps with
- pull balance sheet line items for a ticker across several years
- compute Debt-to-Equity and Equity Ratio from the returned figures
- track net debt and equity trends over time
- break down asset mix: current versus non-current
- compare a company's equity against prior periods
Example prompts for the agent
- Retrieve balance sheet data for AAPL, limited to 5 records and filtered by period FY
- Show Total Assets, Liabilities and Net Debt for MSFT over the last few years
- Calculate Debt-to-Equity and Working Capital from this table
How to install balance-sheet
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill balance-sheet -a claude-code2Manually: put the files in place
~/.claude/skills/balance-sheet/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/balance-sheet/
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill balance-sheet -a codex2Manually: put the files in place
.agents/skills/balance-sheet/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill balance-sheet -a cursor2Manually: put the files in place
.cursor/skills/balance-sheet/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OctagonAI/skills balance-sheet2Manually: put the files in place
.github/skills/balance-sheet/SKILL.md1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill balance-sheet -a gemini-cli2Platform CLI
gemini skills install https://github.com/OctagonAI/skills --path skills/balance-sheetManually: put the files in place
.devin/skills/balance-sheet/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill balance-sheet -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about balance-sheet
How do I install balance-sheet in Claude?
Run npx skills add OctagonAI/skills --skill balance-sheet -a claude-code. The skill file lands at ~/.claude/skills/balance-sheet/SKILL.md.
What does balance-sheet do?
It queries Octagon MCP for a public company's balance sheet and returns a table with assets, liabilities, equity and net debt by fiscal year or quarter.
What do I need for the skill to work?
Octagon MCP configured in your agent. The setup steps are in references/mcp-setup.md inside the skill.
Source text
SKILL.md · MIT
---
name: balance-sheet
description: Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
---
# Balance Sheet
Retrieve detailed balance sheet statement data for public companies using Octagon MCP.
## 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.
## Query Format
```
Retrieve detailed balance sheet statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.
```
**MCP Call:**
```json
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve detailed balance sheet statement data for AAPL, limited to 5 records and filtered by period FY"
}
}
```
## Output Format
The agent returns a table with absolute financial figures:
| Fiscal Year | Total Assets (USD) | Total Current Assets (USD) | Total Non-Current Assets (USD) | Total Liabilities (USD) | Total Equity (USD) | Net Debt (USD) |
|-------------|-------------------|---------------------------|-------------------------------|------------------------|-------------------|----------------|
| 2025 | 359,241.00 million | 147,957.00 million | 211,284.00 million | 285,508.00 million | 73,733.00 million | 89,749.00 million |
| 2024 | 364,980.00 million | 152,987.00 million | 211,993.00 million | 308,030.00 million | 56,950.00 million | 89,116.00 million |
| 2023 | 352,583.00 million | 143,566.00 million | 209,017.00 million | 290,437.00 million | 62,146.00 million | 93,965.00 million |
| 2022 | 352,755.00 million | 135,405.00 million | 217,350.00 million | 302,083.00 million | 50,672.00 million | 108,834.00 million |
| 2021 | 351,002.00 million | 134,836.00 million | 216,166.00 million | 287,912.00 million | 63,090.00 million | 101,582.00 million |
**Data Source:** octagon-financials-agent
## Key Observations Pattern
After receiving data, generate observations:
1. **Asset base changes**: Track total assets trajectory over time
2. **Asset composition**: Analyze current vs non-current asset mix
3. **Equity trends**: Monitor shareholders' equity changes
4. **Leverage position**: Track net debt levels and direction
5. **Capital structure**: Compare liabilities to equity ratios
## Metrics Reference
| Metric | Definition |
|--------|------------|
| Total Assets | All resources owned by the company |
| Total Current Assets | Assets convertible to cash within 1 year |
| Total Non-Current Assets | Long-term assets (PP&E, intangibles, investments) |
| Total Liabilities | All obligations and debts |
| Total Equity | Net worth (Assets - Liabilities) |
| Net Debt | Total debt minus cash and equivalents |
## Analysis Tips
### Asset Composition
- Current Assets: Liquidity and working capital
- Non-Current Assets: Long-term investments and capacity
- Shift toward current = more liquid
- Shift toward non-current = more invested
### Capital Structure Ratios
Calculate from the data:
```
Debt-to-Equity = Total Liabilities / Total Equity
Equity Ratio = Total Equity / Total Assets
```
### Net Debt Analysis
- Declining Net Debt = deleveraging
- Negative Net Debt = net cash position
- Compare to EBITDA for leverage context
### Equity Trends
Rising equity from:
- Retained earnings (profitable operations)
- Stock issuance
- Other comprehensive income
Declining equity from:
- Net losses
- Share buybacks
- Dividends exceeding earnings
### Working Capital
```
Working Capital = Current Assets - Current Liabilities
```
Positive = can meet short-term obligations
## Follow-up Queries
Based on results, suggest deeper analysis:
- "What factors contributed to the decline in total assets in [YEAR] compared to [PRIOR YEAR]?"
- "How has [COMPANY]'s capital allocation strategy evolved between [YEAR1] and [YEAR2]?"
- "What specific components of non-current assets grew between [YEAR1] and [YEAR2]?"
- "Compare [COMPANY]'s leverage ratios to [PEER1] and [PEER2]"
© OctagonAI · MIT · OctagonAI/skills