94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill's code and instructions match its stated sentiment-analysis purpose and request no unusual credentials or access; minor operational notes about runtime NLTK data download and a small metadat...

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VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1772159223422,
        "_id": "k979gx2g0tveg519d4n1jep86n81yxts",
        "changelog": "Sentinel Mood v1.0.0 initial release:\n\n- Introduces sentiment and emotional tone analysis using NLTK's VADER.\n- Provides positive, negative, neutral, and compound sentiment scores for any input text.\n- Tailored for conversational or social media language and short-form content.\n- Simple usage: Input text, receive sentiment scores as JSON.\n- Requires Python 3, nltk library, and vader_lexicon.",
        "changelogSource": "auto",
        "createdAt": 1772159223422,
        "parsed": {
            "clawdis": {
                "emoji": "🎭"
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "splicer scorn",
        "handle": "numbpill3d",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/146873484?v=4",
        "kind": "user",
        "linkedUserId": "kn74k89bze60xrh13a66fwe779819yxr"
    },
    "ownerHandle": "numbpill3d",
    "skill": {
        "_creationTime": 1772159223422,
        "_id": "kd74x4ndqr9gt8zfjewj915t1181z2x8",
        "badges": [],
        "createdAt": 1772159223422,
        "displayName": "Sentinel Mood",
        "latestVersionId": "k979gx2g0tveg519d4n1jep86n81yxts",
        "ownerUserId": "kn74k89bze60xrh13a66fwe779819yxr",
        "slug": "sentinel-mood",
        "stats": {
            "comments": 0,
            "downloads": 225,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.",
        "tags": {
            "latest": "k979gx2g0tveg519d4n1jep86n81yxts"
        },
        "updatedAt": 1772159528173
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}