风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Oraclaw Solver

作者: Whatsonyourmind
Slug:oraclaw-solver
版本:1.0.0
更新时间:2026-03-27 19:01:51
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's declared purpose, required credential (ORACLAW_API_KEY), and runtime instructions are internally consistent for a hosted optimization API — nothing in the package asks for unrelated system...

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VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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        "changelog": "- Initial release of OraClaw Solver for AI-based scheduling and optimization.\n- Instantly solves task scheduling with energy matching and constraint-based resource allocation (LP\/MIP).\n- Supports smart scheduling and custom optimization problems via simple JSON API.\n- Enforces task\/slot matching, deterministic outputs, and robust infeasibility handling.\n- Free tier: 3,000 calls\/month; pricing at $0.10 per optimization call.",
        "changelogSource": "auto",
        "createdAt": 1774609242764,
        "parsed": {
            "clawdis": {
                "emoji": "📅",
                "homepage": "https:\/\/oraclaw.dev\/solver",
                "primaryEnv": "ORACLAW_API_KEY",
                "requires": {
                    "env": [
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                    ]
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        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
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        "displayName": "Whatsonyourmind",
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        "kind": "user",
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    "skill": {
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        "_id": "kd78gr89bbrgc4mvqdzr9sbgcx83qqnt",
        "badges": [],
        "createdAt": 1774609242764,
        "displayName": "Oraclaw Solver",
        "latestVersionId": "k975w3ggqhhj28xnhf426v4y5s83qdc5",
        "ownerPublisherId": "s1742adj1ngn7vhc26tve4753183j86s",
        "ownerUserId": "kn7f3f6xcvbd7rsrjhasr7zx1583kmmx",
        "slug": "oraclaw-solver",
        "stats": {
            "comments": 0,
            "downloads": 25,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Industrial-grade scheduling and resource optimization for AI agents. Solve task scheduling with energy matching, budget allocation, and any LP\/MIP constraint...",
        "tags": {
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}