41/100 (Medium)

OpenClaw： suspicious
VirusTotal： suspicious
StaticScan： unknown

OpenClaw： suspicious

The skill's documentation describes CLI scripts and a Python module but there are no code files or install instructions included — the runtime instructions expect local tooling that isn't provided, wh...

[内容已截断]

VirusTotal： suspicious VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1769896049012,
        "_id": "k97fkkzhn32erg4zksq0exjf4x808awk",
        "changelog": "- Initial release of the mlscp skill for the Micro LLM Swarm Communication Protocol (MLSCP)\n- Provides parsing, validation, and generation of MLSCP commands for efficient agent-to-agent communication\n- CLI scripts included for command parsing, validation, vocabulary generation, and natural language compression\n- Comprehensive command and syntax reference for MLSCP operations\n- Python API for parsing and integrating MLSCP commands into projects\n- Significant reduction in token usage (70–80%) compared to natural language instructions",
        "changelogSource": "auto",
        "createdAt": 1769896049012,
        "version": "0.1.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "sirkrouph-dev",
        "handle": "sirkrouph-dev",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/31062336?v=4",
        "kind": "user",
        "linkedUserId": "kn72xd6qhz2kzn9sw8ted9b65n809ke9"
    },
    "ownerHandle": "sirkrouph-dev",
    "skill": {
        "_creationTime": 1769896049012,
        "_id": "kd75zrtnw524sbjm5amt165e0d8080x4",
        "badges": [],
        "createdAt": 1769896049012,
        "displayName": "Mlscp",
        "latestVersionId": "k97fkkzhn32erg4zksq0exjf4x808awk",
        "ownerUserId": "kn72xd6qhz2kzn9sw8ted9b65n809ke9",
        "slug": "mlscp",
        "stats": {
            "comments": 0,
            "downloads": 1678,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language.",
        "tags": {
            "latest": "k97fkkzhn32erg4zksq0exjf4x808awk"
        },
        "updatedAt": 1774321946701
    }
}