Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OctagonAI/skills --skill income-statementgit clone --depth 1 https://github.com/OctagonAI/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/octagonai/skills/income-statement)<a href="https://agentmods.dev/skills/octagonai/skills/income-statement"><img src="https://agentmods.dev/badge/skills/octagonai/skills/income-statement/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/octagonai/skills/income-statement"><img src="https://agentmods.dev/badge/skills/octagonai/skills/income-statement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00822 |
| Opus 5 | $0.00021 | $0.00411 |
| Sonnet 5 | $0.00008 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
income-statement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Income Statement
Retrieve real-time income 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 for installation instructions.
Query Format
Retrieve real-time income statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.
MCP Call:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve real-time income 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 | Revenue (USD) | Net Income (USD) | EPS (Diluted) |
|---|---|---|---|
| 2025 | $416,161,000,000 | $112,010,000,000 | 7.46 |
| 2024 | $391,035,000,000 | $93,736,000,000 | 6.08 |
| 2023 | $383,285,000,000 | $96,995,000,000 | 6.13 |
| 2022 | $394,328,000,000 | $99,803,000,000 | 6.11 |
| 2021 | $365,817,000,000 | $94,680,000,000 | 5.61 |
Data Source: octagon-financials-agent
Key Observations Pattern
After receiving data, generate observations:
- Revenue trajectory: Calculate dollar and percentage changes year-over-year
- Net income trends: Track profitability in absolute terms
- EPS progression: Note earnings per share expansion or contraction
- Margin calculation: Compute Net Income / Revenue for net margin
- Scale context: Compare figures to industry peers
Metrics Reference
| Metric | Definition |
|---|---|
| Revenue | Total sales/top-line income for the period |
| Net Income | Bottom-line profit after all expenses and taxes |
| EPS (Diluted) | Earnings per share assuming all dilutive securities converted |
Analysis Tips
Revenue Scale
- Use to compare company size across industry
- Track absolute dollar growth, not just percentages
- Larger base requires more absolute growth to maintain % growth
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 102 lines · 42 tokens per session scan A 0fbd8b53da82
income-statement is a skill published in the GitHub repository OctagonAI/skills (127 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 822 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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