100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill's code, instructions, and declared requirements are consistent with an event-driven trading strategy and do not request unrelated credentials or installs, but you should review the full sour...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773743704620,
        "_id": "k979d125a2rp1akq8nham053w9832808",
        "changelog": "event-driven-strategy v1.0.0\n\n- Initial release of the event-driven trading strategy skill.\n- Supports analysis for earnings, M&A, policies, product approvals, litigation, and management changes.\n- Provides features for event calendar management, expectation gap analysis, catalyst strength assessment, and trading signal generation.\n- Includes JSON-based action interface and sample outputs.\n- Integrates with MDL_data_skill and policy_analysis_skill for data and event context.\n- Implements built-in risk controls such as position sizing, stop-loss, and event correlation limits.",
        "changelogSource": "auto",
        "createdAt": 1773743704620,
        "parsed": {
            "clawdis": []
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "hmaya",
        "handle": "hmaya",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/16179827?v=4",
        "kind": "user",
        "linkedUserId": "kn77ts89t3y0mazpe5hfc98zcd829cdf"
    },
    "ownerHandle": "hmaya",
    "skill": {
        "_creationTime": 1773743704620,
        "_id": "kd7f8vnrh6ka7nwh837ynf1hz1833731",
        "badges": [],
        "createdAt": 1773743704620,
        "displayName": "Event Driven Strategy",
        "latestVersionId": "k979d125a2rp1akq8nham053w9832808",
        "ownerUserId": "kn77ts89t3y0mazpe5hfc98zcd829cdf",
        "slug": "event-driven-strategy",
        "stats": {
            "comments": 0,
            "downloads": 76,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "事件驱动交易策略 - 捕捉财报、并购、政策等事件带来的超额收益机会，基于预期差分析和催化剂强度评估生成交易信号。",
        "tags": {
            "latest": "k979d125a2rp1akq8nham053w9832808"
        },
        "updatedAt": 1773745011228
    }
}