风险评分

37/100 (High)

OpenClaw: suspicious
VirusTotal: suspicious
StaticScan: suspicious

Low-Resource AI Researcher

作者: AIpoch
Slug:low-resource-ai-researcher
版本:1.0.0
更新时间:2026-03-26 13:46:50
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill largely matches its stated purpose (training medical LLMs) but contains behaviors and defaults that are disproportionate or risky for an instruction-only skill (notably trust_remote_code=Tru...

[内容已截断]

VirusTotal: suspicious VT 报告

静态扫描: suspicious

Detected: suspicious.dynamic_code_execution
README

README 未提供

文件列表

无文件信息

下载
下载官方 ZIP
原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1774503230508,
        "_id": "k972m7k0xztrcp2mmt43wz6txx83nra0",
        "changelog": "- Initial release of Low-Resource AI Researcher skill (v1.0.0)\n- Enables training of high-performance medical large language models on consumer GPUs using parameter-efficient fine-tuning (LoRA, QLoRA)\n- Supports popular medical datasets (PubMedQA, MedQA, MIMIC-III) and multiple LLM architectures (LLaMA, Mistral, Yi, Qwen, Baichuan, ChatGLM)\n- Provides configurable hardware profiles, quantization options, and CLI\/API usage for flexible training and evaluation\n- Includes security, troubleshooting, and best practice guidelines for safe and efficient usage",
        "changelogSource": "auto",
        "createdAt": 1774503230508,
        "parsed": {
            "clawdis": {
                "author": "AIPOCH"
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s17fjw78yq6wtd4ep6zsaxwrn983hznr",
        "displayName": "AIpoch",
        "handle": "aipoch-ai",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/258999481?v=4",
        "kind": "user",
        "linkedUserId": "kn76fcc8jhxekae91m2ekbrsgn821avs"
    },
    "ownerHandle": "aipoch-ai",
    "skill": {
        "_creationTime": 1774503230508,
        "_id": "kd79ep6rzvznkm82xycztc9en983nwbz",
        "badges": [],
        "createdAt": 1774503230508,
        "displayName": "Low-Resource AI Researcher",
        "latestVersionId": "k972m7k0xztrcp2mmt43wz6txx83nra0",
        "ownerPublisherId": "s17fjw78yq6wtd4ep6zsaxwrn983hznr",
        "ownerUserId": "kn76fcc8jhxekae91m2ekbrsgn821avs",
        "slug": "low-resource-ai-researcher",
        "stats": {
            "comments": 0,
            "downloads": 25,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Train high-performance medical LLMs on consumer GPUs using parameter-efficient fine-tuning",
        "tags": {
            "latest": "k972m7k0xztrcp2mmt43wz6txx83nra0"
        },
        "updatedAt": 1774504010726
    }
}