94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill appears to do what it claims (a collection of standalone Python Monte Carlo simulation tools), requests no credentials or special system access, and has no install step — but the SKILL.md co...

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VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

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        "_id": "k97c5143fxjybf0vhwf3mw4s5s823r6y",
        "changelog": "Quant Simulation Toolkit 1.0.0 – Initial Release\n\n- First public release with 7 standalone Python Monte Carlo simulation tools inspired by the viral \"How to Simulate Like a Quant Desk\" article.\n- Includes ready-to-run scripts for binary option pricing, rare event estimation via importance sampling, particle filtering, variance reduction (antithetic, control variate, and stratified sampling), copula simulation, agent-based market microstructure, and a full pipeline demo.\n- Requires only numpy and scipy (no external dependencies). \n- Each script is documented and can be executed individually with demo output. \n- Designed for finance, quantitative modeling, and simulation education.",
        "changelogSource": "auto",
        "createdAt": 1772400913960,
        "parsed": {
            "clawdis": {
                "author": "marcindudek"
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        "displayName": "Marcin Dudek",
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        "slug": "quant-sim-toolkit",
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        "summary": "7 runnable Monte Carlo simulation tools extracted from a viral quant article. Importance sampling, particle filters, copulas, agent-based markets, variance r...",
        "tags": {
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