风险评分

94/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: unknown

memic

作者: Punith
Slug:memic
版本:1.0.4
更新时间:2026-03-07 03:12:43
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's requirements and instructions are consistent with a context‑engineering SDK: it needs a Memic API key and pip and its examples/instructions align with the described functionality.

VirusTotal: benign VT 报告

静态扫描: unknown

README

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原始 JSON 数据
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        "changelog": "- No code or documentation changes in this release.\n- Metadata updated: the install requirement was changed from the \"python3\" binary to \"pip\".\n- All functionality and usage remain unchanged from the previous version.",
        "changelogSource": "user",
        "createdAt": 1772824352217,
        "parsed": {
            "clawdis": {
                "emoji": "🧠",
                "primaryEnv": "MEMIC_API_KEY",
                "requires": {
                    "bins": [
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                    ],
                    "env": [
                        "MEMIC_API_KEY"
                    ]
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            }
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        "version": "1.0.4"
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    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Punith",
        "handle": "punithg",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/13271547?v=4",
        "kind": "user",
        "linkedUserId": "kn738ks7xt31a4jr1wsegtvrt9829pp3"
    },
    "ownerHandle": "punithg",
    "skill": {
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        "_id": "kd73gdqjgaj66bn9a5srhgscc1829e42",
        "badges": [],
        "createdAt": 1772653681129,
        "displayName": "memic",
        "latestVersionId": "k975w8vgx7kj4zyvpjh1eys4eh82c6w8",
        "ownerUserId": "kn738ks7xt31a4jr1wsegtvrt9829pp3",
        "slug": "memic",
        "stats": {
            "comments": 0,
            "downloads": 235,
            "installsAllTime": 1,
            "installsCurrent": 1,
            "stars": 2,
            "versions": 5
        },
        "summary": "Context engineering platform for AI agents. Upload documents, search with semantic + structured queries, and inject relevant context into LLM prompts. Suppor...",
        "tags": {
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}