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Agent Skill · 研究检索

security-scanner-plus(安全扫描仪增强版)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

security-scanner-plus 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 15,630。

总安装 7,711周安装 315GitHub Stars 公开资料未说明下载 2,495核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.7

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:security-scanner-plus(安全扫描仪增强版)
来源仓库:https://github.com/kennyzir/security-scanner-plus
安装命令:
openclaw skills install security-scanner-plus
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install security-scanner-plus

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

三层分析 AI Agent Skill 安全隐患,包括依赖 CVE、静态代码与权限声明检查。适用于技能上架前自检、社区共享前的合规审查或供应链安全管控。自动标记危险函数调用与未声明权限请求行为。依赖本地规则引擎,新型攻击向量可能暂时无法识别。

security-scanner-plus 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install security-scanner-plus;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

security-scanner-plus 怎么安装?

在终端执行 openclaw skills install security-scanner-plus。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

security-scanner-plus 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

security-scanner-plus 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

security-scanner-plus 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

security-scanner-plus 用的人多吗?

公开数据是累计安装 7,711 次,近一周安装 315 次,下载 2,495 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

security-scanner-plus 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
security-scanner-plus

安全扫描仪增强版 · 本页

7,711—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Security Scanner
description
>
metadata
requires
env

Security Scanner

Free skill by Claw0x — powered by Claw0x Gateway API.

Scan AI agent skills for security vulnerabilities across three layers: dependency CVEs, dangerous code patterns, and undeclared permissions. Returns a structured JSON risk report with an overall score (0–100).

Free to use. This skill costs nothing. Just sign up at claw0x.com, create an API key, and start calling. No credit card, no wallet top-up required.

Quick Reference

When This HappensScan ForWhat You Get
Installing third-party skillAll vulnerabilitiesRisk score + CVE list
Before publishing skillCode patterns + permissionsSecurity audit report
Dependency updateNew CVEsUpdated vulnerability list
User reports suspicious behaviorUndeclared permissionsPermission audit
CI/CD pipelineAutomated security checkPass/fail + recommendations
Skill marketplace reviewTrust score calculationApproval decision data

Why API-based? Centralized CVE database (OSV.dev), consistent scanning rules, no local setup required.


5-Minute Quickstart

Step 1: Get API Key (30 seconds)

Sign up at claw0x.com → Dashboard → Create API Key

Step 2: Scan Your First Skill (1 minute)

curl -X POST https://api.claw0x.com/v1/call \
  -H "Authorization: Bearer ck_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "security-scanner",
    "input": {
      "repo_url": "https://github.com/owner/repo"
    }
  }'

Step 3: Review Risk Report (instant)

{
  "overall_risk": "medium",
  "risk_score": 35,
  "dependency_scan": {
    "vulnerabilities": [
      {
        "id": "GHSA-jf85-cpcp-j695",
        "severity": "high",
        "package_name": "lodash",
        "summary": "Prototype Pollution"
      }
    ]
  },
  "code_scan": {
    "findings": [
      {
        "rule_id": "SHELL_INJECT",
        "severity": "critical",
        "file": "handler.ts",
        "line": 42
      }
    ]
  },
  "recommendations": [
    "Critical: Shell injection pattern detected",
    "High: lodash@4.17.20 has known vulnerabilities"
  ]
}

Step 4: Fix Issues (2 minutes)

# Update vulnerable dependency
npm update lodash

# Fix shell injection
# Replace: exec(userInput)
# With: execFile('command', [userInput])

Done. Your skill is now more secure.


Real-World Use Cases

Scenario 1: Skill Marketplace Vetting

Problem: You run a skill marketplace and need to vet submissions before approval

Solution:

  1. Seller submits skill via GitHub URL
  2. Automated scan runs on submission
  3. Risk score determines approval workflow
  4. High-risk skills get manual review
  5. Low-risk skills auto-approve

Example:

async function reviewSkillSubmission(repoUrl) {
  const response = await fetch('https://api.claw0x.com/v1/call', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.CLAW0X_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      skill: 'security-scanner',
      input: { repo_url: repoUrl }
    })
  });
  
  const scan = await response.json();
  
  if (scan.risk_score > 50) {
    await queue.add('manual-review', { repoUrl, scan });
  } else if (scan.risk_score < 20) {
    await approveSkill(repoUrl);
  } else {
    await requestSellerFixes(repoUrl, scan.recommendations);
  }
}
// Result: 80% of submissions auto-processed, 95% fewer security incidents

Scenario 2: CI/CD Security Gate

Problem: Developers push code with vulnerabilities that reach production

Solution:

  1. Add security scan to CI/CD pipeline
  2. Block merges if risk score > threshold
  3. Require fixes before deployment
  4. Track security metrics over time

Example:

# .github/workflows/security.yml
- name: Security Scan
  run: |
    RESULT=$(curl -X POST https://api.claw0x.com/v1/call \
      -H "Authorization: Bearer $CLAW0X_API_KEY" \
      -d '{"skill":"security-scanner","input":{"repo_url":"${{ github.repository }}"}}')
    
    RISK_SCORE=$(echo $RESULT | jq -r '.risk_score')
    
    if [ $RISK_SCORE -gt 50 ]; then
      echo "Security scan failed: risk score $RISK_SCORE"
      exit 1
    fi
# Result: 90% reduction in production security issues

Scenario 3: Dependency Monitoring

Problem: Your skills use dependencies that get new CVEs over time

Solution:

  1. Schedule weekly scans of all published skills
  2. Alert when new vulnerabilities appear
  3. Auto-create PRs with dependency updates
  4. Track remediation time

Example:

// Cron job: every Monday
async function weeklySecurityAudit() {
  const skills = await db.skills.findMany({ status: 'published' });
  
  for (const skill of skills) {
    const response = await fetch('https://api.claw0x.com/v1/call', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${process.env.CLAW0X_API_KEY}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        skill: 'security-scanner',
        input: { repo_url: skill.repo_url }
      })
    });
    
    const scan = await response.json();
    
    // Check if risk increased
    if (scan.risk_score > skill.last_risk_score) {
      await notifyMaintainer(skill, scan);
      await createUpdatePR(skill, scan.recommendations);
    }
    
    await db.skills.update({
      where: { id: skill.id },
      data: { last_risk_score: scan.risk_score }
    });
  }
}
// Result: Average CVE remediation time: 2 days (industry avg: 30 days)

Scenario 4: Pre-Commit Hooks

Problem: Developers accidentally commit secrets or dangerous patterns

Solution:

  1. Add pre-commit hook that scans changed files
  2. Block commits with critical findings
  3. Provide immediate feedback
  4. Prevent secrets from reaching Git history

Example:

#!/bin/bash
# .git/hooks/pre-commit

# Get staged files
FILES=$(git diff --cached --name-only --diff-filter=ACM | grep -E '\.(ts|js|py)$')

if [ -z "$FILES" ]; then
  exit 0
fi

# Scan staged code
CODE=$(cat $FILES)
RESULT=$(curl -s -X POST https://api.claw0x.com/v1/call \
  -H "Authorization: Bearer $CLAW0X_API_KEY" \
  -d "{\"skill\":\"security-scanner\",\"input\":{\"code\":\"$CODE\"}}")

CRITICAL=$(echo $RESULT | jq -r '.code_scan.finding_counts.critical')

if [ "$CRITICAL" -gt 0 ]; then
  echo "❌ Commit blocked: critical security issues found"
  echo $RESULT | jq -r '.recommendations[]'
  exit 1
fi

echo "✅ Security scan passed"
exit 0
# Result: Zero secrets committed to Git in 6 months

Integration Recipes

OpenClaw Agent

// Scan before installing skill
agent.onSkillInstall(async (skillUrl) => {
  const response = await fetch('https://api.claw0x.com/v1/call', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.CLAW0X_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      skill: 'security-scanner',
      input: { repo_url: skillUrl }
    })
  });
  
  const scan = await response.json();
  
  if (scan.risk_score > 50) {
    throw new Error(`Skill failed security scan: ${scan.recommendations.join(', ')}`);
  }
  
  console.log(`✓ Security scan passed (risk score: ${scan.risk_score})`);
  return scan;
});

LangChain Agent

import os
import requests

def vet_skill(repo_url):
    response = requests.post(
        'https://api.claw0x.com/v1/call',
        headers={
            'Authorization': f'Bearer {os.getenv("CLAW0X_API_KEY")}',
            'Content-Type': 'application/json'
        },
        json={
            'skill': 'security-scanner',
            'input': {'repo_url': repo_url}
        }
    )
    
    result = response.json()
    
    if result["risk_score"] > 50:
        raise SecurityError(f"High risk: {result['recommendations']}")
    
    return result

# Use in skill installation
try:
    scan = vet_skill("https://github.com/owner/repo")
    install_skill(repo_url)
except SecurityError as e:
    print(f"Installation blocked: {e}")

CI/CD Pipeline (GitHub Actions)

name: Security Scan

on: [push, pull_request]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Scan for vulnerabilities
        run: |
          RESULT=$(curl -X POST https://api.claw0x.com/v1/call \
            -H "Authorization: Bearer ${{ secrets.CLAW0X_API_KEY }}" \
            -H "Content-Type: application/json" \
            -d "{\"skill\":\"security-scanner\",\"input\":{\"repo_url\":\"https://github.com/${{ github.repository }}\"}}")
          
          echo "$RESULT" | jq '.'
          
          RISK_SCORE=$(echo "$RESULT" | jq -r '.risk_score')
          
          if [ "$RISK_SCORE" -gt 50 ]; then
            echo "::error::Security scan failed with risk score $RISK_SCORE"
            exit 1
          fi
          
          echo "::notice::Security scan passed with risk score $RISK_SCORE"

Batch Scanning

// Scan all skills in marketplace
const skills = await db.skills.findMany();

const scans = await Promise.all(
  skills.map(async skill => {
    const response = await fetch('https://api.claw0x.com/v1/call', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${process.env.CLAW0X_API_KEY}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        skill: 'security-scanner',
        input: { skill_slug: skill.slug }
      })
    });
    return response.json();
  })
);

// Update trust scores
for (let i = 0; i < skills.length; i++) {
  const trustScore = calculateTrustScore(scans[i]);
  
  await db.skills.update({
    where: { id: skills[i].id },
    data: { 
      trust_score: trustScore,
      last_scan: new Date(),
      security_scan_status: scans[i].overall_risk
    }
  });
}

How It Works — Under the Hood

This skill runs a three-layer security analysis pipeline. No LLM involved — pure deterministic scanning logic.

Layer 1: Dependency CVE Scanning

Dependencies are extracted from package.json (npm) or requirements.txt (PyPI) and queried against the OSV.dev batch vulnerability database.

  • Fetches dependency manifests from the target repository
  • Queries all packages in a single batch request to OSV.dev
  • Classifies each vulnerability by severity: critical, high, medium, low
  • Score contribution: critical +25, high +15, medium +8, low +3 (capped at 50)

Layer 2: Static Code Analysis

Source files (.ts, .js, .py) are scanned line-by-line against 8 pre-compiled regex rules covering: dynamic execution, shell injection, env leaks, data exfiltration, hardcoded credentials, unsafe imports, filesystem overreach, and insecure network requests.

  • Score contribution: critical +20, high +12, medium +5, low +2 (capped at 40)

Layer 3: Permission Auditing

The SKILL.md frontmatter allowed-tools field is cross-referenced against actual code behavior detected by the static analyzer.

  • Parses declared permissions from SKILL.md YAML frontmatter
  • Maps code findings to permission categories
  • Reports any permissions detected in code but not declared in frontmatter
  • Score contribution: +5 per undeclared permission (capped at 10)

Risk Score

The three layer scores are summed into a total risk score (0–100):

Score RangeRisk Level
0–20Low
21–50Medium
51–100High

Three Input Modes

You can scan a skill using any of these three modes (mutually exclusive — provide exactly one):

Mode 1: GitHub Repo URL

Provide a public GitHub repository URL. The scanner fetches dependency files, source code, and SKILL.md automatically.

{ "repo_url": "https://github.com/owner/repo" }

Mode 2: Claw0x Skill Slug

Provide a skill slug from the Claw0x platform. The scanner looks up the associated repo URL and proceeds with the standard scan.

{ "skill_slug": "validate-email" }

Mode 3: Direct Code Submission

Submit code directly along with optional dependency and SKILL.md data. No GitHub fetching needed.

{
  "code": "import os\
os.system('rm -rf /')",
  "dependencies": { "requests": "2.28.0" },
  "skill_md": "---\
name: my-skill\
allowed-tools: Bash(curl *)\
---"
}

Prerequisites

  1. Sign up at claw0x.com
  2. Create API key in Dashboard
  3. Set environment variable:
   # Add to ~/.openclaw/.env or your agent's environment
   CLAW0X_API_KEY=ck_live_...
Security note: Never embed API keys in prompts, source code, or version-controlled files. Use environment variables or secret managers.

No credit card or wallet balance needed. This skill is free to use.

When to Use

  • Agent pipeline needs to vet a third-party skill before installing
  • Developer wants to self-check a skill before publishing
  • Platform review pipeline needs automated security assessment
  • User asks "is this skill safe?", "scan for vulnerabilities", "check skill security"

API Call

curl -s -X POST https://api.claw0x.com/v1/call \
  -H "Authorization: Bearer $CLAW0X_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "security-scanner",
    "input": {
      "repo_url": "https://github.com/owner/repo"
    }
  }'

Input

Provide exactly one of the three input modes:

FieldTypeRequiredDescription
repo_urlstringone of threeGitHub repo URL. Mutually exclusive with skill_slug and code
skill_slugstringone of threeClaw0x skill slug (1–100 chars). Mutually exclusive with repo_url and code
codestringone of threeSource code to scan directly (max 500KB). Mutually exclusive with repo_url and skill_slug
dependenciesobjectnoPackage name to version map for dependency scanning (used with code mode)
skill_mdstringnoSKILL.md content for permission auditing (used with code mode)

Output Fields

FieldTypeDescription
overall_riskstringRisk level: low, medium, or high
risk_scorenumberNumeric risk score (0–100)
input_modestringWhich input mode was used
repo_urlstring or nullRepository URL if applicable
dependency_scan.packages_scannednumberNumber of packages checked
dependency_scan.vulnerabilitiesarrayFound CVEs (max 20)
dependency_scan.vulnerability_countsobjectCount by severity level
code_scan.findingsarrayDangerous code patterns found (max 50)
code_scan.finding_countsobjectCount by severity level
code_scan.rules_checkednumberNumber of rules applied
permission_audit.declared_permissionsarrayPermissions from SKILL.md
permission_audit.detected_permissionsarrayPermissions found in code
permission_audit.undeclared_risksarrayDetected but not declared
recommendationsarrayActionable fix suggestions
scanned_atstringISO 8601 scan timestamp
scan_duration_msnumberTotal scan time in milliseconds

Example

Input:

{
  "skill": "security-scanner",
  "input": {
    "code": "const { exec } = require('child_process');\
exec(userInput);",
    "dependencies": { "lodash": "4.17.20" }
  }
}

Output:

{
  "overall_risk": "high",
  "risk_score": 62,
  "input_mode": "direct",
  "repo_url": null,
  "dependency_scan": {
    "packages_scanned": 1,
    "vulnerabilities": [
      {
        "id": "GHSA-jf85-cpcp-j695",
        "summary": "Prototype Pollution in lodash",
        "severity": "high",
        "package_name": "lodash",
        "package_version": "4.17.20"
      }
    ],
    "vulnerability_counts": { "critical": 0, "high": 1, "medium": 0, "low": 0 }
  },
  "code_scan": {
    "findings": [
      {
        "rule_id": "SHELL_INJECT",
        "name": "Shell injection",
        "severity": "critical",
        "file": "input.ts",
        "line": 1,
        "match": "require('child_process')",
        "description": "Shell command execution detected"
      }
    ],
    "finding_counts": { "critical": 1, "high": 0, "medium": 0, "low": 0 },
    "rules_checked": 8
  },
  "permission_audit": {
    "declared_permissions": [],
    "detected_permissions": ["Bash(*)"],
    "undeclared_risks": ["Bash(*)"]
  },
  "recommendations": [
    "Critical: Shell injection pattern detected",
    "High: lodash@4.17.20 has known vulnerabilities",
    "Undeclared permission: Bash(*) detected but not declared"
  ],
  "scanned_at": "2025-01-15T10:30:00.000Z",
  "scan_duration_ms": 1250
}

Pricing

Free. This skill costs nothing to use. Just sign up at claw0x.com and create an API key.

  • No credit card required
  • No wallet top-up needed
  • Unlimited scans
  • Free forever

Why free? Security scanning is a critical need for the agent ecosystem. We provide it free to help build trust and attract users to the Claw0x platform.


API vs Local Scanning: Which is Right for You?

FeatureLocal Tools (npm audit, Snyk)Claw0x (API-Based)
Setup Time10-30 min (install, configure)2 minutes (get API key)
CVE Databasenpm registry onlyOSV.dev (all ecosystems)
Code AnalysisBasic (npm audit)8 rule categories
Permission Audit❌ Not available✅ SKILL.md cross-check
Multi-LanguageSeparate tools per languageUnified API
CI/CD IntegrationComplex (multiple tools)Single API call
CostFree (local)Free (API)
MaintenanceTool updates requiredZero maintenance

When to Use Local Tools

  • Offline scanning required
  • Already integrated into workflow
  • Need language-specific deep analysis
  • Processing proprietary code that can't leave network

When to Use Claw0x (API-Based)

  • Multi-language projects (npm + PyPI)
  • Need permission auditing
  • Building skill marketplaces
  • CI/CD automation
  • Centralized security dashboard
  • No local tool maintenance

How It Fits Into Your Development Workflow

┌─────────────────────────────────────────────────────────────┐
│                  Skill Development Lifecycle                 │
└─────────────────────────────────────────────────────────────┘
                            │
                            ├─ Development
                            │  • Write code
                            │  • Add dependencies
                            │
                            ├─ Pre-Commit Scan
                            │  POST /v1/call
                            │  {code: staged_files}
                            │  → Block if critical
                            │
                            ├─ CI/CD Scan
                            │  POST /v1/call
                            │  {repo_url: github_url}
                            │  → Fail build if risk > 50
                            │
                            ├─ Pre-Publish Scan
                            │  POST /v1/call
                            │  {skill_slug: slug}
                            │  → Calculate trust score
                            │
                            └─ Continuous Monitoring
                               Weekly scans for new CVEs
                               Alert on risk increase

Integration Points

  1. Pre-Commit Hooks — Catch issues before Git commit
  2. CI/CD Pipeline — Block merges with vulnerabilities
  3. Skill Submission — Vet marketplace submissions
  4. Continuous Monitoring — Track CVEs over time
  5. Trust Score Calculation — Update marketplace rankings

Why Use This Via Claw0x?

Unified Infrastructure

  • One API key for all skills — no per-provider auth
  • Free to use — no credit card, no wallet balance required
  • Security scanned — OSV.dev integration for all skills

Security-Optimized

  • Three-layer analysis — dependencies, code, permissions
  • OSV.dev integration — comprehensive CVE database
  • Structured output — JSON format, easy to parse
  • Actionable recommendations — specific fixes, not generic advice

Production-Ready

  • 99.9% uptime — reliable infrastructure
  • Fast scanning — 1-3 seconds per skill
  • Scales to millions — handle marketplace-scale scanning
  • Cloud-native — works in Lambda, Cloud Run, containers

About Claw0x

Claw0x is the native skills layer for AI agents — providing unified API access, atomic billing, and quality control.

Explore more skills: claw0x.com/skills

GitHub: github.com/claw0x/security-scanner

平台分布

OpenClaw

85.83%
按下载量换算2,141

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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