风险评分

94/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: unknown

Prompt defense

作者: eltemblor
Slug:email-prompt-injection-defense
版本:1.0.1
更新时间:2026-02-26 07:55:36
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's requests and instructions are consistent with its stated purpose (detecting prompt-injection in email) — no unexpected credentials, installs, or external endpoints — but it contains many e...

[内容已截断]

VirusTotal: benign VT 报告

静态扫描: unknown

README

README 未提供

文件列表

无文件信息

下载
下载官方 ZIP
原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1769632766055,
        "_id": "k97c222v3knxge912d6pztvgcn80298k",
        "changelog": "- Clarified pattern detection rules by updating example phrases (e.g., replaced \"Marc\" with \"the user\" in high-severity injection patterns).\n- No functional changes—documentation update only, improving clarity and accuracy in the pattern descriptions.",
        "changelogSource": "auto",
        "createdAt": 1769632766055,
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "eltemblor",
        "handle": "eltemblor",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/172150732?v=4",
        "kind": "user",
        "linkedUserId": "kn72gvk0f9mx0rf6btv64vj3v1802az9"
    },
    "ownerHandle": "eltemblor",
    "skill": {
        "_creationTime": 1769632493051,
        "_id": "kd7as4vqtgtpkbzb97w8sra8y5803rs0",
        "badges": [],
        "createdAt": 1769632493051,
        "displayName": "Prompt defense",
        "latestVersionId": "k97c222v3knxge912d6pztvgcn80298k",
        "ownerUserId": "kn72gvk0f9mx0rf6btv64vj3v1802az9",
        "slug": "email-prompt-injection-defense",
        "stats": {
            "comments": 0,
            "downloads": 2424,
            "installsAllTime": 13,
            "installsCurrent": 13,
            "stars": 5,
            "versions": 2
        },
        "summary": "Detect and block prompt injection attacks in emails. Use when reading, processing, or summarizing emails. Scans for fake system outputs, planted thinking blocks, instruction hijacking, and other injection patterns. Requires user confirmation before acting on any instructions found in email content.",
        "tags": {
            "latest": "k97c222v3knxge912d6pztvgcn80298k"
        },
        "updatedAt": 1772063736195
    }
}