Us Market Bubble Detector

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

This skill is internally coherent for detecting market-bubble conditions: it asks for public market indicators, uses mechanical scoring, and doesn't request credentials. Before installing or enabling it for autonomous use, do the following: 1) Inspect the bundled script scripts/bubble_scorer.py (or ask the publisher for its contents) to confirm it does not call unknown external endpoints or exfiltrate collected data. 2) Confirm you are comfortable with the agent performing web searches and hitting public APIs (no secrets required) — collected market data may be logged depending on your agent's telemetry settings. 3) If you plan to act on trading recommendations, treat outputs as advisory only and verify calculations independently. If bubble_scorer.py or any other shipped file contains network calls to private/personal servers, requires credentials, or obfuscated code, reconsider or mark the skill suspicious; that would change the assessment to suspicious or worse.

Type: OpenClaw Skill Name: us-market-bubble-detector Version: 0.1.0 The OpenClaw AgentSkills skill bundle 'us-market-bubble-detector' is a well-documented and rigorously defined financial analysis tool. The `SKILL.md` and `references/*.md` files contain strict instructions for the AI agent, emphasizing mandatory quantitative data collection and mechanical scoring from legitimate public financial sources (e.g., CBOE, FINRA, Google Trends). The `scripts/bubble_scorer.py` is a local Python utility for score calculation, lacking any network or sensitive file system access. There is no evidence of data exfiltration, malicious execution, persistence, obfuscation, or prompt injection aimed at subverting the agent for unauthorized actions; all instructions are aligned with the stated purpose of objective market bubble detection.