59/100 (Medium)

OpenClaw： suspicious
VirusTotal： benign
StaticScan： unknown

OpenClaw： suspicious

The skill mostly matches its stated purpose (local TF-IDF search over an agent MEMORY.md) but contains inconsistencies and a few surprising choices (hard-coded workspace paths, contradictory dependenc...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1770292895210,
        "_id": "k978zt06ps3jkh7swmaf4eb9ps80ks48",
        "changelog": "No user-facing changes in this release.\n\n- Version bump to 1.0.3 with no detected file or documentation updates.",
        "changelogSource": "auto",
        "createdAt": 1770292895210,
        "version": "1.0.3"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "mig6671",
        "handle": "mig6671",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/35736420?v=4",
        "kind": "user",
        "linkedUserId": "kn728r3qje3yyk2stjydpzmh4180k1vc"
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    "ownerHandle": "mig6671",
    "skill": {
        "_creationTime": 1770274681659,
        "_id": "kd7e7zq4hxdr4760ya16af0djx80j26x",
        "badges": [],
        "createdAt": 1770274681659,
        "displayName": "Vector Memory Hack",
        "latestVersionId": "k978zt06ps3jkh7swmaf4eb9ps80ks48",
        "ownerUserId": "kn728r3qje3yyk2stjydpzmh4180k1vc",
        "slug": "vector-memory-hack",
        "stats": {
            "comments": 0,
            "downloads": 2573,
            "installsAllTime": 10,
            "installsCurrent": 9,
            "stars": 9,
            "versions": 4
        },
        "summary": "Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.",
        "tags": {
            "efficiency": "k9718z1g53z6g0z4webteymjz180k6re",
            "latest": "k978zt06ps3jkh7swmaf4eb9ps80ks48",
            "lightweight": "k9718z1g53z6g0z4webteymjz180k6re",
            "memory": "k9718z1g53z6g0z4webteymjz180k6re",
            "search": "k9718z1g53z6g0z4webteymjz180k6re",
            "semantic": "k9718z1g53z6g0z4webteymjz180k6re",
            "sqlite": "k9718z1g53z6g0z4webteymjz180k6re",
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}