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fundamentals

fundamentals is a skill for Claude Code from staskh/trading_skills. It costs 42 tokens per session (770 once invoked), scanned A, original, MIT.

A company-fundamentals reader fetches financial information from Yahoo Finance, including key metrics, financial statements, and earnings. Fundamentals are business and financial measures used to evaluate a company beyond its share price.

In plain words
What is it for?
Use it to inspect market value, price-to-earnings ratio, earnings per share, dividends, revenue and profit statements, earnings history and estimates, or calculate Piotroski's nine-point financial-strength score.
Why use it?
It brings commonly used company data together for review without opening several financial-data pages.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

not rated 363repo +7 9d ago A scan SkillSpector: pass 42 tokens original MIT

Good fit Use it to inspect market value, price-to-earnings ratio, earnings per share, dividends, revenue and profit statements, earnings history and estimates, or calculate Piotroski's nine-point financial-strength score.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/staskh/trading_skills/fundamentals
View source ↗ staskh/trading_skills
Install

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.

Any agent
npx skills add staskh/trading_skills --skill fundamentals
Clone the repo
git clone --depth 1 https://github.com/staskh/trading_skills

Made for: Claude Code.

Wrote 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.

agentmods badge for fundamentals

README.md
[![agentmods](https://agentmods.dev/badge/skills/staskh/trading_skills/fundamentals/github.svg)](https://agentmods.dev/skills/staskh/trading_skills/fundamentals)
Your own site
<a href="https://agentmods.dev/skills/staskh/trading_skills/fundamentals"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/fundamentals/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.

agentmods 80×15 button for fundamentals

Your own site · 80×15
<a href="https://agentmods.dev/skills/staskh/trading_skills/fundamentals"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/fundamentals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 770 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00770
Opus 5 $0.00021 $0.00385
Sonnet 5 $0.00008 $0.00154
Haiku 4.5 $0.00004 $0.00077

Measured 10d ago against content hash 99a422c8ecf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

fundamentals 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 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/fundamentals.py, scripts/piotroski.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/fundamentals/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fundamentals

Fetch fundamental financial data from Yahoo Finance.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/fundamentals.py SYMBOL [--type TYPE]

Arguments

  • SYMBOL - Ticker symbol
  • --type - Data type: all, financials, earnings, info (default: all)

Output

Returns JSON with:

  • info - Key metrics (market cap, PE, EPS, dividend, etc.)
  • financials - Recent quarterly/annual income statement data
  • earnings - Historical and estimated earnings

Present key metrics clearly. Compare actual vs estimated earnings if relevant.

Piotroski F-Score

Calculate Piotroski's F-Score to evaluate a company's financial strength using 9 fundamental criteria.

Instructions

uv run python scripts/piotroski.py SYMBOL

What is Piotroski F-Score?

Piotroski's F-Score is a fundamental analysis tool developed by Joseph Piotroski that evaluates a company's financial strength using 9 criteria. Each criterion scores 1 point if passed, 0 if failed, for a maximum score of 9.

The 9 Criteria

  1. Positive Net Income - Company is profitable
  2. Positive ROA - Assets are generating returns
  3. Positive Operating Cash Flow - Company generates cash from operations
  4. Cash Flow > Net Income - High-quality earnings (cash exceeds accounting profit)
  5. Lower Long-Term Debt - Decreasing leverage (improving financial position)
  6. Higher Current Ratio - Improving liquidity
  7. No New Shares Issued - No dilution (or share buybacks)
  8. Higher Gross Margin - Improving profitability efficiency
  9. Higher Asset Turnover - More efficient use of assets

Score Interpretation

  • 8-9: Excellent - Very strong financial health
  • 6-7: Good - Strong financial health
  • 4-5: Fair - Moderate financial health
  • 0-3: Poor - Weak financial health

Output

Returns JSON with:

  • score - F-Score (0-9)
  • max_score - Maximum possible score (9)
  • criteria - Detailed breakdown of each criterion with pass/fail status and values
  • interpretation - Text description of financial health level
  • data_available - Boolean indicating if year-over-year comparison data is available for criteria 5-9

Read the full file on GitHub · 100 lines

Files

What ships with it

2 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.

Changes

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.

  1. 10d ago First seen · 100 lines · 42 tokens per session scan A 99a422c8ecf8

Subscribe to this mod's changes

fundamentals is a skill published in the GitHub repository staskh/trading_skills (363 stars, last pushed 9d ago), licensed MIT. It adds 42 tokens to every session and 770 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.

Finance and fintechai-tradingclaudeclaude-skillsmcp-serveroption-tradingoptions-trading
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