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vulnerability-scanner漏洞扫描器

Agent Skill

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。

总安装

774

周安装

31

GitHub Stars

公开资料未说明

下载量

250
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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://github.com/xenitv1/claude-code-maestro
仓库路径:skills/vulnerability-scanner
安装命令:
npx skills add xenitv1/claude-code-maestro --skill "vulnerability-scanner"
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 npx skills 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。

AgentSkills.tonpx skills
npx skills add xenitv1/claude-code-maestro --skill "vulnerability-scanner"

简介

用于辅助安全审计、权限检查、凭据风险和认证流程排查。

  • 适合梳理敏感配置、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、令牌或生产系统时应先确认最小权限和脱敏方式。
  • 安装命令:npx skills add xenitv1/claude-code-maestro --skill "vulnerability-scanner"。
  • 注意操作边界,避免触发未授权的文件读写或网络请求。

SKILL.md

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?"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.61%
按下载量换算79

trae

22.52%
按下载量换算56

OpenCode

18.88%
按下载量换算47

Cursor

13.09%
按下载量换算33

github-copilot

8.65%
按下载量换算22

Antigravity

3.47%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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