Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
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 tradermonty/claude-trading-skills --skill us-stock-analysisgit clone --depth 1 https://github.com/tradermonty/claude-trading-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/tradermonty/claude-trading-skills/us-stock-analysis)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/us-stock-analysis"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/us-stock-analysis/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/tradermonty/claude-trading-skills/us-stock-analysis"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/us-stock-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 222 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00094 | $0.02165 |
| Opus 5 | $0.00047 | $0.01082 |
| Sonnet 5 | $0.00019 | $0.00433 |
| Haiku 4.5 | $0.00009 | $0.00216 |
Grade A, and why
us-stock-analysis 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 13d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- us-stock-analysis — 100% identical, 0 lines differ
- us-stock-analysis — 100% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Stock Analysis
Overview
Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks.
Data Sources
Always use web search tools to gather current market data:
Primary Data to Fetch:
- Current stock price and trading data (price, volume, 52-week range)
- Financial statements (income statement, balance sheet, cash flow)
- Key metrics (P/E, EPS, revenue, margins, debt ratios)
- Analyst ratings and price targets
- Recent news and developments
- Peer/competitor data (for comparisons)
- Technical data (moving averages, RSI, MACD when available)
Search Strategy:
- Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024")
- For comprehensive data: Search for earnings reports, investor presentations, or SEC filings
- For technical data: Search for "AAPL technical analysis" or use financial data sites
- Always verify data recency (prefer data from last quarter)
Quality Sources:
- Yahoo Finance, Google Finance, MarketWatch, Seeking Alpha, Bloomberg, CNBC
- Company investor relations pages
- SEC filings (10-K, 10-Q) for detailed financials
- TradingView, StockCharts for technical data
Analysis Types
This skill supports four types of analysis. Determine which type(s) the user needs:
- Basic Stock Info - Quick overview with key metrics
- Fundamental Analysis - Deep dive into business, financials, valuation
- Technical Analysis - Chart patterns, indicators, trend analysis
- Comprehensive Report - Complete analysis combining all approaches
Analysis Workflows
1. Basic Stock Information
When to Use: User asks for quick overview or basic info
Steps:
- Search for current stock data (price, volume, market cap)
- Gather key metrics (P/E, EPS, revenue growth, margins)
- Get 52-week range and year-to-date performance
- Find recent news or major developments
- Present in concise summary format
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.
- 13d ago First seen · 295 lines · 94 tokens per session scan A dff770dbb231
us-stock-analysis is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 2,165 once invoked, about $0.0005 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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