exposure-coach

exposure-coach is a skill for Claude Code, Codex from tradermonty/claude-trading-skills. It costs 50 tokens per session (1,641 once invoked), scanned A, original, MIT.

A market-positioning summary that combines signals about market breadth, trend conditions, economic regime, market tops, follow-through days, themes, sectors, and institutional money flows. It recommends how much capital a trader should commit to equities.

In plain words
What is it for?
Use it before opening positions, at the start of a trading week, after major market or economic events, or when market conditions appear to be changing. It requires upstream JSON results and, for flow data, an FMP API key.
Why use it?
It brings conflicting market indicators into one exposure decision before individual stocks are considered. This helps a trader decide whether to allow new positions or prioritize cash.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2.8krepo +32 today A scan Socket: passSnyk: passSkillSpector: pass 50 tokens original MIT

Good fit Use it before opening positions, at the start of a trading week, after major market or economic events, or when market conditions appear to be changing. It requires upstream JSON results and, for flow data, an FMP API key.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tradermonty/claude-trading-skills/exposure-coach
About the project

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.

tradermonty/claude-trading-skills · 2,813 stars · on GitHub · tradermonty.github.io

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 tradermonty/claude-trading-skills --skill exposure-coach
Clone the repo
git clone --depth 1 https://github.com/tradermonty/claude-trading-skills

Made for: Claude Code, Codex.

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 exposure-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/exposure-coach/github.svg)](https://agentmods.dev/skills/tradermonty/claude-trading-skills/exposure-coach)
Your own site
<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.

agentmods 80×15 button for exposure-coach

Your own site · 80×15
<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>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,641 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
  • Socket pass 19 May 2026
  • Snyk pass 19 May 2026
  • 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 $0.00050 $0.01641
Opus 5 $0.00025 $0.00821
Sonnet 5 $0.00010 $0.00328
Haiku 4.5 $0.00005 $0.00164

Measured 12d ago against content hash 17cd0765062f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/calculate_exposure.py, scripts/tests/conftest.py, scripts/tests/test_calculate_exposure.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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/exposure-coach/SKILL.md · 163 lines

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_KEY environment 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

Read the full file on GitHub · 163 lines

Files

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.

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. 12d ago First seen · 163 lines · 50 tokens per session scan A 17cd0765062f

Subscribe to this mod's changes

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.

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