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 financial-health-scoresgit 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/financial-health-scores)<a href="https://agentmods.dev/skills/octagonai/skills/financial-health-scores"><img src="https://agentmods.dev/badge/skills/octagonai/skills/financial-health-scores/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/financial-health-scores"><img src="https://agentmods.dev/badge/skills/octagonai/skills/financial-health-scores.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 | $0.01056 |
| Opus 5 | $0.00021 | $0.00528 |
| Sonnet 5 | $0.00008 | $0.00211 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
financial-health-scores 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Health Scores
Retrieve financial health scores including Altman Z-Score and Piotroski Score 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 financial health scores for <TICKER>, including the Altman Z-Score and Piotroski Score.
MCP Call:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve financial health scores for TSLA, including the Altman Z-Score and Piotroski Score"
}
}
Output Format
The agent returns health scores with supporting metrics:
Altman Z-Score: 16.84 (calculated using working capital, total assets, retained earnings, EBIT, and market cap). A score above 3.0 indicates low bankruptcy risk.
Piotroski Score: 6 (out of a maximum 9). This score assesses profitability, leverage, liquidity, and operating efficiency.
Supporting Financial Metrics:
| Metric | Value (USD) |
|---|---|
| Working Capital | 36,928,000,000 |
| Total Assets | 137,806,000,000 |
| Retained Earnings | 39,003,000,000 |
| EBIT | 5,616,000,000 |
| Market Cap | 1,400,635,834,800 |
| Total Liabilities | 54,941,000,000 |
| Revenue | 94,827,000,000 |
Data Source: octagon-financials-agent
Altman Z-Score Interpretation
The Altman Z-Score predicts bankruptcy probability:
| Z-Score Range | Interpretation |
|---|---|
| > 3.0 | Safe Zone - Low bankruptcy risk |
| 1.8 - 3.0 | Grey Zone - Moderate risk, needs monitoring |
| < 1.8 | Distress Zone - High bankruptcy risk |
Z-Score Formula
Z = 1.2(WC/TA) + 1.4(RE/TA) + 3.3(EBIT/TA) + 0.6(MC/TL) + 1.0(Rev/TA)
Where:
- WC = Working Capital
- TA = Total Assets
- RE = Retained Earnings
- EBIT = Earnings Before Interest and Taxes
- MC = Market Cap
- TL = Total Liabilities
- Rev = Revenue
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 · 139 lines · 42 tokens per session scan A 75753e07877d
financial-health-scores 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 1,056 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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