风险评分

47/100 (Medium)

OpenClaw: suspicious
VirusTotal: suspicious
StaticScan: clean

Skill-Eval

作者: jensen-srp
Slug:skill-eval
版本:0.4.0
更新时间:2026-03-24 13:49:14
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OpenClaw: suspicious

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The skill's written architecture and runtime instructions assume cross-provider model calls, scripts, and file I/O that are not present in the package and it does not declare the credentials or I/O pe...

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原始 JSON 数据
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        "changelog": "Skill-Eval v0.4.0 introduces multi-model evaluation and improvement capabilities.\n\n- Added support for evaluating skills across multiple execution models, enabling per-model scoring and consistency analysis.\n- Introduced distinct roles for execution, judge, and improvement models; these can be configured globally or per-skill.\n- Output reports (skill cards) and the leaderboard now display per-model results and highlight cross-model performance.\n- Improved handling for unavailable models, dependency-gated and phantom tooling skills, and unsubstantiated claims.\n- Expanded knowledge base with an improvement engine for skill rewrites based on evaluation outcomes.",
        "changelogSource": "auto",
        "createdAt": 1773141189019,
        "version": "0.4.0"
    },
    "owner": {
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        "_id": "publishers:missing",
        "displayName": "jensen-srp",
        "handle": "jensen-srp",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/178291187?v=4",
        "kind": "user",
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    "ownerHandle": "jensen-srp",
    "skill": {
        "_creationTime": 1773141189019,
        "_id": "kd7bk5g4854ztndf7c5qnhxkad82nkha",
        "badges": [],
        "createdAt": 1773141189019,
        "displayName": "Skill-Eval",
        "latestVersionId": "k97ch33yph3cb5awpr51s4g19s82n8dv",
        "ownerUserId": "kn73fz90f5szz0d25zwp1hw7zx82n762",
        "slug": "skill-eval",
        "stats": {
            "comments": 1,
            "downloads": 150,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Autonomous engine that systematically evaluates and ranks agent skills across models using rubric grading, error taxonomy, and improvement feedback loops.",
        "tags": {
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        },
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    }
}