us-market-bubble-detector

us-market-bubble-detector is a skill for Claude Code, Codex from BaggaT236/AI-Trading-Skills. It costs 95 tokens per session (4,909 once invoked), scanned A, a copy of us-market-bubble-detector, MIT.

A quantitative guide for estimating the risk that the US stock market is in a bubble, meaning prices may be driven far above sustainable levels. It uses measures such as the VIX, put/call data, margin debt, market breadth, and initial public offerings.

In plain words
What is it for?
Use it to evaluate bubble-risk questions, review whether market conditions support taking profits or delaying new purchases, and assess risk-management decisions for existing positions.
Why use it?
It replaces impressions and dramatic market stories with measured indicators and stated thresholds. A separate qualitative review helps limit confirmation bias, or the tendency to favor evidence that supports an existing view.

Skill for Claude CodeCodex

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

Good fit Use it to evaluate bubble-risk questions, review whether market conditions support taking profits or delaying new purchases, and assess risk-management decisions for existing positions.

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Install with agentmods
npx agentmods add skills/baggat236/ai-trading-skills/us-market-bubble-detector
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 BaggaT236/AI-Trading-Skills --skill us-market-bubble-detector
Clone the repo
git clone --depth 1 https://github.com/BaggaT236/AI-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 us-market-bubble-detector

README.md
[![agentmods](https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/us-market-bubble-detector/github.svg)](https://agentmods.dev/skills/baggat236/ai-trading-skills/us-market-bubble-detector)
Your own site
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/us-market-bubble-detector"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/us-market-bubble-detector/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 us-market-bubble-detector

Your own site · 80×15
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/us-market-bubble-detector"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/us-market-bubble-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,909 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.
Origin 100% copy Near-identical to another mod 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 $0.00095 $0.04909
Opus 5 $0.00048 $0.02455
Sonnet 5 $0.00019 $0.00982
Haiku 4.5 $0.00010 $0.00491

Measured 13d ago against content hash 920d37cf2afa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

us-market-bubble-detector 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/bubble_scorer.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

This is a copy

100% identical to us-market-bubble-detector — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

examples/weekly-trade-strategy/skills/us-market-bubble-detector/SKILL.md · 546 lines

How it starts

The opening of the file, as written. The whole thing — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.

US Market Bubble Detection Skill (Revised v2.1)

Key Revisions in v2.1

Critical Changes from v2.0:

  1. Mandatory Quantitative Data Collection - Use measured values, not impressions or speculation
  2. Clear Threshold Settings - Specific numerical criteria for each indicator
  3. Two-Phase Evaluation Process - Quantitative evaluation → Qualitative adjustment (strict order)
  4. Stricter Qualitative Criteria - Max +3 points (reduced from +5), requires measurable evidence
  5. Confirmation Bias Prevention - Explicit checklist to avoid over-scoring
  6. Granular Risk Phases - Added "Elevated Risk" phase (8-9 points) for nuanced risk management

When to Use This Skill

Use this skill when:

English:

  • User asks "Is the market in a bubble?" or "Are we in a bubble?"
  • User seeks advice on profit-taking, new entry timing, or short-selling decisions
  • User reports social phenomena (non-investors entering, media frenzy, IPO flood)
  • User mentions narratives like "this time is different" or "revolutionary technology" becoming mainstream
  • User consults about risk management for existing positions

Japanese:

  • ユーザーが「今の相場はバブルか?」と尋ねる
  • 投資の利確・新規参入・空売りのタイミング判断を求める
  • 社会現象(非投資家の参入、メディア過熱、IPO氾濫)を観察し懸念を表明
  • 「今回は違う」「革命的技術」などの物語が主流化している状況を報告
  • 保有ポジションのリスク管理方法を相談

Evaluation Process (Strict Order)

Phase 1: Mandatory Quantitative Data Collection

CRITICAL: Always collect the following data before starting evaluation

1.1 Market Structure Data (Highest Priority)
□ Put/Call Ratio (CBOE Equity P/C)
  - Source: CBOE DataShop or web_search "CBOE put call ratio"
  - Collect: 5-day moving average

□ VIX (Fear Index)
  - Source: Yahoo Finance ^VIX or web_search "VIX current"
  - Collect: Current value + percentile over past 3 months

□ Volatility Indicators
  - 21-day realized volatility
  - Historical position of VIX (determine if in bottom 10th percentile)
1.2 Leverage & Positioning Data
□ FINRA Margin Debt Balance
  - Source: web_search "FINRA margin debt latest"
  - Collect: Latest month + Year-over-Year % change

□ Breadth (Market Participation)
  - % of S&P 500 stocks above 50-day MA
  - Source: web_search "S&P 500 breadth 50 day moving average"

Read the full file on GitHub · 546 lines

Files

What ships with it

7 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. 13d ago First seen · 546 lines · 95 tokens per session scan A 920d37cf2afa

Subscribe to this mod's changes

us-market-bubble-detector is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 9d ago), licensed MIT. It adds 95 tokens to every session and 4,909 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to us-market-bubble-detector, differing in 0 lines, and is treated as a copy.

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