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 exposure-coachgit 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/exposure-coach)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/exposure-coach"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/exposure-coach/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/exposure-coach"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/exposure-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00050 | $0.01641 |
| Opus 5 | $0.00025 | $0.00821 |
| Sonnet 5 | $0.00010 | $0.00328 |
| Haiku 4.5 | $0.00005 | $0.00164 |
Grade A, and why
exposure-coach 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- exposure-coach — 97% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exposure Coach
Overview
Exposure Coach synthesizes outputs from market-breadth-analyzer, uptrend-analyzer, macro-regime-detector, market-top-detector, ftd-detector, theme-detector, sector-analyst, and institutional-flow-tracker into a unified control-plane decision. The skill answers the solo trader's core question: "How much capital should I commit to equities right now?" before any individual stock analysis begins.
When to Use
- Before initiating any new stock positions to determine appropriate capital commitment
- At the start of each trading week to calibrate portfolio exposure
- When multiple market signals conflict and a unified posture is needed
- After significant macro or market events to reassess exposure ceiling
- When transitioning between market regimes (broadening, concentration, contraction)
Prerequisites
- Python 3.9+
- FMP API key (set
FMP_API_KEYenvironment variable) for institutional-flow-tracker data - Input JSON files from upstream skills (see Workflow Step 1)
- Standard library +
argparse,json,datetime
Workflow
Step 1: Gather Upstream Skill Outputs
Collect the most recent JSON outputs from integrated skills. Each file provides a specific signal dimension:
| Skill | Output File Pattern | Signal Provided |
|---|---|---|
| market-breadth-analyzer | breadth_*.json |
Advance/decline ratios, new highs/lows |
| uptrend-analyzer | uptrend_*.json |
Uptrend participation percentage |
| macro-regime-detector | regime_*.json |
Current regime (Concentration, Broadening, etc.) |
| market-top-detector | top_risk_*.json |
Distribution day count, top probability score |
| ftd-detector | ftd_*.json |
Follow-Through Day quality (market bottom confirmation) |
| theme-detector | theme_detector_*.json or theme_*.json |
Active investment themes and rotation |
| sector-analyst | sector_*.json |
Sector performance rankings |
| institutional-flow-tracker | institutional_*.json |
Net institutional buying/selling |
What ships with it
6 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 · 163 lines · 50 tokens per session scan A 17cd0765062f
exposure-coach is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,641 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.
Other skills, from other repositories
sector-rotation
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twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.