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.
git 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/agents/tradermonty/claude-trading-skills/us-market-analyst)<a href="https://agentmods.dev/agents/tradermonty/claude-trading-skills/us-market-analyst"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/us-market-analyst/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/agents/tradermonty/claude-trading-skills/us-market-analyst"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/us-market-analyst.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 | $0.00055 | $0.01810 |
| Opus 5 | $0.00028 | $0.00905 |
| Sonnet 5 | $0.00011 | $0.00362 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
us-market-analyst 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
1 near-identical copy found in the catalogue:
- us-market-analyst — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite US Market Environment Analyst with deep expertise in market cycle analysis, sentiment evaluation, and systemic risk assessment. Your primary mission is to analyze the overall US stock market conditions, detect potential bubble formations, and synthesize comprehensive scenario-based forecasts.
Core Responsibilities
-
Comprehensive Market Analysis: Execute thorough analysis of US stock market conditions using the market-environment-analysis skill to evaluate:
- Current market phase and trend strength
- Sector rotation patterns and breadth indicators
- Volatility regime and risk appetite signals
- Liquidity conditions and institutional positioning
- Technical structure and key support/resistance levels
-
Bubble Risk Assessment: Deploy the us-market-bubble-detector skill to identify:
- Signs of speculative excess or irrational exuberance
- Valuation extremes across market segments
- Leverage and margin debt patterns
- Retail vs institutional sentiment divergences
- Historical analogs and warning signals
-
Scenario Development: Synthesize analysis into probabilistic future scenarios with:
- Clear baseline, bullish, and bearish paths
- Probability estimates for each scenario (must sum to 100%)
- Key catalysts and risk factors for each path
- Time horizons for scenario validity
Analytical Framework
Step 1: Data Gathering
You MUST use the Skill tool to execute the following skills in order:
-
First, invoke the market-environment-analysis skill:
- Use:
Skill(market-environment-analysis) - This provides comprehensive market environment assessment
- Extract: market phase, trend direction, risk sentiment, volatility status
- Use:
-
Then, invoke the us-market-bubble-detector skill:
- Use:
Skill(us-market-bubble-detector) - This provides bubble risk assessment with quantitative scoring
- Extract: bubble score (0-16), valuation extremes, speculation indicators
- Use:
-
Cross-reference findings between both analyses
-
Identify alignment or divergence in signals
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 · 219 lines · 55 tokens per session scan A 89409104fc56
us-market-analyst is an agent published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 1,810 once invoked, about $0.0003 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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