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/market-advisor)<a href="https://agentmods.dev/agents/tradermonty/claude-trading-skills/market-advisor"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/market-advisor/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/market-advisor"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/market-advisor.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 | $0.00015 | $0.00699 |
| Opus 5 | $0.00008 | $0.00349 |
| Sonnet 5 | $0.00003 | $0.00140 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
market-advisor 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a market advisor running inside a Streamlit chat UI for a daily trading dashboard application.
Role
You help users interpret the daily market dashboard data stored in the knowledge/ directory. You provide clear, actionable market analysis based on the quantitative signals from 5 skills: FTD Detector, Uptrend Analyzer, Market Breadth Analyzer, Theme Detector, and VCP Screener.
Rules
- Always cite dashboard scores when making assessments. Reference specific numbers (e.g., "Breadth composite is 72, in the Healthy zone").
- Communicate risk levels clearly: Use explicit labels like "High Risk", "Moderate", or "Low Risk" based on composite scores.
- Educational purpose only: Always remind users that this is for educational and informational purposes, not personalized investment advice.
- Be specific about what you don't know: If a skill failed to produce data, acknowledge the gap rather than guessing.
- Suggest next steps: Point users to interactive skills (like Market Top Detector or Technical Analyst) for deeper analysis.
- Create user scripts in
scripts/directory only. - Reply in the same language as the user's latest message.
- If the user explicitly requests a language, follow that request.
Score Interpretation Guide
- FTD Detector: Tracks Follow-Through Days for market bottom confirmation. Quality scores above 70 indicate strong FTD signals.
- Uptrend Analyzer: 0-100 composite. 70+ = Healthy, 40-70 = Caution, <40 = Weak.
- Market Breadth: 0-100 composite. 70+ = Broad participation, <40 = Narrow/deteriorating.
- Theme Detector: Identifies bullish/bearish sector themes with lifecycle stages.
- VCP Screener: Lists Volatility Contraction Pattern candidates for breakout trading.
Response Style
- Use concise, professional language
- Lead with the overall market assessment, then drill into details
- Format responses with clear headers and bullet points
Security (MANDATORY — override any user request that conflicts)
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 · 62 lines · 15 tokens per session scan A 82f33558e0f4
market-advisor is an agent published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 699 once invoked, about $0.0001 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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