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Agent Skill · 研究检索

vulnerability-scanner(漏洞扫描器)

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。

vulnerability-scanner 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为接触敏感数据;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,638。

总安装 428周安装 18下载 150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。
许可证
unknown

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:vulnerability-scanner(漏洞扫描器)
来源仓库:https://smithery.ai
仓库路径:vulnerability-scanner
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

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。

用于辅助安全审计与漏洞排查,帮助识别配置风险、依赖问题和认证缺陷。适合梳理敏感信息、分析鉴权逻辑或生成安全复核清单。不能将工具输出直接作为最终结论,需人工验证关键操作。涉及密钥、用户数据或生产系统时,应先确认最小权限和操作边界。安装前建议评估是否会触发文件读写或网络请求。

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

来源仓库内路径:vulnerability-scanner

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 vulnerability-scanner。

  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

vulnerability-scanner 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 vulnerability-scanner。

vulnerability-scanner 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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。

vulnerability-scanner 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。

vulnerability-scanner 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

vulnerability-scanner 用的人多吗?

公开数据是累计安装 428 次,近一周安装 18 次,下载 150 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。

vulnerability-scanner 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,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。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

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
vulnerability-scanner

漏洞扫描器 · 本页

428—接触敏感数据未明确未收录

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

Vulnerability Scanner

Think like an attacker, defend like an expert. 2025 threat landscape awareness.

🔧 Runtime Scripts

Execute for automated validation:

ScriptPurposeUsage
scripts/security_scan.pyValidate security principles appliedpython scripts/security_scan.py <project_path>

📋 Reference Files

FilePurpose
checklists.mdOWASP Top 10, Auth, API, Data protection checklists

1. Security Expert Mindset

Core Principles

PrincipleApplication
Assume BreachDesign as if attacker already inside
Zero TrustNever trust, always verify
Defense in DepthMultiple layers, no single point
Least PrivilegeMinimum required access only
Fail SecureOn error, deny access

Threat Modeling Questions

Before scanning, ask:

  1. What are we protecting? (Assets)
  2. Who would attack? (Threat actors)
  3. How would they attack? (Attack vectors)
  4. What's the impact? (Business risk)

2. OWASP Top 10:2025

Risk Categories

RankCategoryThink About
A01Broken Access ControlWho can access what? IDOR, SSRF
A02Security MisconfigurationDefaults, headers, exposed services
A03Software Supply Chain 🆕Dependencies, CI/CD, build integrity
A04Cryptographic FailuresWeak crypto, exposed secrets
A05InjectionUser input → system commands
A06Insecure DesignFlawed architecture
A07Authentication FailuresSession, credential management
A08Integrity FailuresUnsigned updates, tampered data
A09Logging & AlertingBlind spots, no monitoring
A10Exceptional Conditions 🆕Error handling, fail-open states

2025 Key Changes

2021 → 2025 Shifts:
├── SSRF merged into A01 (Access Control)
├── A02 elevated (Cloud/Container configs)
├── A03 NEW: Supply Chain (major focus)
├── A10 NEW: Exceptional Conditions
└── Focus shift: Root causes > Symptoms

3. Supply Chain Security (A03)

Attack Surface

VectorRiskQuestion to Ask
DependenciesMalicious packagesDo we audit new deps?
Lock filesIntegrity attacksAre they committed?
Build pipelineCI/CD compromiseWho can modify?
RegistryTyposquattingVerified sources?

Defense Principles

  • Verify package integrity (checksums)
  • Pin versions, audit updates
  • Use private registries for critical deps
  • Sign and verify artifacts

4. Attack Surface Mapping

What to Map

CategoryElements
Entry PointsAPIs, forms, file uploads
Data FlowsInput → Process → Output
Trust BoundariesWhere auth/authz checked
AssetsSecrets, PII, business data

Prioritization Matrix

Risk = Likelihood × Impact

High Impact + High Likelihood → CRITICAL
High Impact + Low Likelihood  → HIGH
Low Impact + High Likelihood  → MEDIUM
Low Impact + Low Likelihood   → LOW

5. Risk Prioritization

CVSS + Context

FactorWeightQuestion
CVSS ScoreBase severityHow severe is the vuln?
EPSS ScoreExploit likelihoodIs it being exploited?
Asset ValueBusiness contextWhat's at risk?
ExposureAttack surfaceInternet-facing?

Prioritization Decision Tree

Is it actively exploited (EPSS >0.5)?
├── YES → CRITICAL: Immediate action
└── NO → Check CVSS
         ├── CVSS ≥9.0 → HIGH
         ├── CVSS 7.0-8.9 → Consider asset value
         └── CVSS <7.0 → Schedule for later

6. Exceptional Conditions (A10 - New)

Fail-Open vs Fail-Closed

ScenarioFail-Open (BAD)Fail-Closed (GOOD)
Auth errorAllow accessDeny access
Parsing failsAccept inputReject input
TimeoutRetry foreverLimit + abort

What to Check

  • Exception handlers that catch-all and ignore
  • Missing error handling on security operations
  • Race conditions in auth/authz
  • Resource exhaustion scenarios

7. Scanning Methodology

Phase-Based Approach

1. RECONNAISSANCE
   └── Understand the target
       ├── Technology stack
       ├── Entry points
       └── Data flows

2. DISCOVERY
   └── Identify potential issues
       ├── Configuration review
       ├── Dependency analysis
       └── Code pattern search

3. ANALYSIS
   └── Validate and prioritize
       ├── False positive elimination
       ├── Risk scoring
       └── Attack chain mapping

4. REPORTING
   └── Actionable findings
       ├── Clear reproduction steps
       ├── Business impact
       └── Remediation guidance

8. Code Pattern Analysis

High-Risk Patterns

PatternRiskLook For
String concat in queriesInjection"SELECT * FROM " + user_input
Dynamic code executionRCEeval(), exec(), Function()
Unsafe deserializationRCEpickle.loads(), unserialize()
Path manipulationTraversalUser input in file paths
Disabled securityVariousverify=False, --insecure

Secret Patterns

TypeIndicators
API Keysapi_key, apikey, high entropy
Tokenstoken, bearer, jwt
Credentialspassword, secret, key
CloudAWS_, AZURE_, GCP_ prefixes

9. Cloud Security Considerations

Shared Responsibility

LayerYou OwnProvider Owns
Data✅❌
Application✅❌
OS/RuntimeDependsDepends
Infrastructure❌✅

Cloud-Specific Checks

  • IAM: Least privilege applied?
  • Storage: Public buckets?
  • Network: Security groups tightened?
  • Secrets: Using secrets manager?

10. Anti-Patterns

❌ Don't✅ Do
Scan without understandingMap attack surface first
Alert on every CVEPrioritize by exploitability + asset
Ignore false positivesMaintain verified baseline
Fix symptoms onlyAddress root causes
Scan once before deployContinuous scanning
Trust third-party deps blindlyVerify integrity, audit code

11. Reporting Principles

Finding Structure

Each finding should answer:

  1. What? - Clear vulnerability description
  2. Where? - Exact location (file, line, endpoint)
  3. Why? - Root cause explanation
  4. Impact? - Business consequence
  5. How to fix? - Specific remediation

Severity Classification

SeverityCriteria
CriticalRCE, auth bypass, mass data exposure
HighData exposure, privilege escalation
MediumLimited scope, requires conditions
LowInformational, best practice

Remember: Vulnerability scanning finds issues. Expert thinking prioritizes what matters. Always ask: "What would an attacker do with this?"

平台分布

Local Agent

77.65%
按下载量换算116

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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