94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill's requirements and runtime instructions are consistent with a market-bubble scoring tool — it asks for public-market data, uses mechanical scoring, and does not request unrelated credentials...

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VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

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        "_id": "k973p0s88j4p4sqrm17jyzmfqn8085x9",
        "changelog": "US Market Bubble Detector v0.1.0 (Skill Launch, Framework v2.1)\n\n- Introduces strict, multi-phase evaluation of US equity market bubble risk utilizing a revised Minsky\/Kindleberger framework.\n- Enforces mandatory quantitative data collection (put\/call, VIX, margin debt, market breadth, IPOs) with explicit numerical thresholds.\n- Implements a two-phase process: mechanical data scoring followed by strictly limited qualitative adjustment (+3 points max, with confirmation bias checklist).\n- Adds nuanced risk granularity, including a new \"Elevated Risk\" phase.\n- Designed to guide profit-taking, entry\/exit timing, and risk management decisions based on objective, reproducible analysis.",
        "changelogSource": "auto",
        "createdAt": 1769870453503,
        "version": "0.1.0"
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    "owner": {
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        "_id": "publishers:missing",
        "displayName": "Veera",
        "handle": "veeramanikandanr48",
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    "ownerHandle": "veeramanikandanr48",
    "skill": {
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        "badges": [],
        "createdAt": 1769870453503,
        "displayName": "Us Market Bubble Detector",
        "latestVersionId": "k973p0s88j4p4sqrm17jyzmfqn8085x9",
        "ownerUserId": "kn7agf701n3afzzbq8ge0wa8k1809wm4",
        "slug": "us-market-bubble-detector",
        "stats": {
            "comments": 0,
            "downloads": 1667,
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            "stars": 3,
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        "summary": "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.",
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