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Agent Skill · 研究检索

security-scan(安全扫描)

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-scan 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 17,361。

总安装 6,648周安装 277GitHub Stars 69下载 2,216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
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:security-scan(安全扫描)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/security-scan
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill security-scan
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。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill security-scan

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。

security-scan 辅助安全审计与漏洞排查,支持权限检查、凭据风险分析和认证流程梳理。适合生成安全复核清单、分析鉴权逻辑或识别常见安全风险。不能将工具输出直接作为最终结论,需人工复核关键判断。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。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/security-scan

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/jwynia/agent-skills --skill security-scan;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-scan 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill security-scan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

security-scan 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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-scan 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-scan 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。

security-scan 用的人多吗?

公开数据是累计安装 6,648 次,近一周安装 277 次,下载 2,216 次,GitHub 69 星。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-scan 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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 Codex,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。
  • 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-scan

安全扫描 · 本页

6,64869接触敏感数据未明确通过

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

Security Scan

Comprehensive security vulnerability detection for codebases.

Quick Start

/security-scan                    # Full scan of current directory
/security-scan --scope src/       # Scan specific directory
/security-scan --quick            # Fast scan (critical issues only)
/security-scan --focus injection  # Focus on specific category

What This Skill Does

Analyzes code for security vulnerabilities across multiple categories:

  1. OWASP Top 10 - Industry-standard web vulnerability categories
  2. Secrets Detection - Hardcoded credentials, API keys, tokens
  3. Injection Flaws - SQL, XSS, command injection patterns
  4. Cryptographic Issues - Weak algorithms, insecure implementations
  5. Configuration Problems - Insecure defaults, misconfigurations

Scan Modes

Full Scan (Default)

Comprehensive analysis of all security categories.

/security-scan

Checks performed:

  • All OWASP Top 10 categories
  • Secrets and credential detection
  • Dependency vulnerabilities (if package files exist)
  • Configuration file review

Duration: 2-5 minutes depending on codebase size

Quick Scan

Fast check for critical and high-severity issues only.

/security-scan --quick

Checks performed:

  • Critical injection patterns
  • Exposed secrets
  • Known dangerous functions

Duration: Under 1 minute

Focused Scan

Target specific vulnerability category.

/security-scan --focus <category>

Categories:

  • injection - SQL, XSS, command injection
  • secrets - Credentials, API keys, tokens
  • crypto - Cryptographic weaknesses
  • auth - Authentication/authorization issues
  • config - Configuration security

Output Format

Severity Levels

LevelIconMeaningAction Required
CRITICAL[!]Exploitable vulnerabilityImmediate fix
HIGH[H]Serious security riskFix before deploy
MEDIUM[M]Potential vulnerabilityPlan to address
LOW[L]Minor issue or hardeningConsider fixing
INFO[i]Informational findingAwareness only

Finding Format

[SEVERITY] CATEGORY: Brief description
  File: path/to/file.ext:line
  Pattern: What was detected
  Risk: Why this is dangerous
  Fix: How to remediate

Summary Report

SECURITY SCAN RESULTS
=====================

Scope: src/
Files scanned: 127
Duration: 45 seconds

FINDINGS BY SEVERITY
  Critical: 2
  High: 5
  Medium: 12
  Low: 8

TOP ISSUES
1. [!] SQL Injection in src/api/users.ts:45
2. [!] Hardcoded AWS key in src/config.ts:12
3. [H] XSS vulnerability in src/components/Comment.tsx:89
...

Run `/security-scan --details` for full report.

OWASP Top 10 Coverage

#CategoryDetection Approach
A01Broken Access ControlAuthorization pattern analysis
A02Cryptographic FailuresWeak crypto detection
A03InjectionPattern matching + data flow
A04Insecure DesignSecurity control gaps
A05Security MisconfigurationConfig file analysis
A06Vulnerable ComponentsDependency scanning
A07Auth FailuresAuth pattern review
A08Data Integrity FailuresDeserialization checks
A09Logging FailuresAudit log analysis
A10SSRFRequest pattern detection

See references/owasp/ for detailed detection rules per category.

Detection Patterns

Injection Detection

SQL Injection:

- String concatenation in queries
- Unsanitized user input in database calls
- Dynamic query construction

Cross-Site Scripting (XSS):

- innerHTML assignments with user data
- document.write() with dynamic content
- Unescaped template interpolation

Command Injection:

- exec(), system(), popen() with user input
- Shell command string construction
- Unsanitized subprocess arguments

See references/patterns/ for language-specific patterns.

Secrets Detection

High-Confidence Patterns:

AWS Access Key:     AKIA[0-9A-Z]{16}
AWS Secret Key:     [A-Za-z0-9/+=]{40}
GitHub Token:       gh[pousr]_[A-Za-z0-9]{36,}
Stripe Key:         sk_live_[A-Za-z0-9]{24,}
Private Key:        -----BEGIN (RSA |EC )?PRIVATE KEY-----

Medium-Confidence Patterns:

Generic API Key:    api[_-]?key.*[=:]\s*['"][a-zA-Z0-9]{16,}
Password in Code:   password\s*[=:]\s*['"][^'"]+['"]
Connection String:  (mysql|postgres|mongodb)://[^:]+:[^@]+@

Cryptographic Weaknesses

Weak Algorithms:

- MD5 for password hashing
- SHA1 for security purposes
- DES/3DES encryption
- RC4 stream cipher

Implementation Issues:

- Hardcoded encryption keys
- Weak random number generation
- Missing salt in password hashing
- ECB mode encryption

Integration with Other Skills

With /secrets-scan

Focused deep-dive on credential detection:

/secrets-scan              # Dedicated secrets analysis
/secrets-scan --entropy    # High-entropy string detection

With /dependency-scan

Package vulnerability analysis:

/dependency-scan           # Check all dependencies
/dependency-scan --fix     # Auto-fix where possible

With /config-scan

Infrastructure and configuration review:

/config-scan               # All config files
/config-scan --docker      # Container security
/config-scan --iac         # Infrastructure as Code

Scan Execution Protocol

Phase 1: Discovery

1. Identify project type (languages, frameworks)
2. Locate relevant files (source, config, dependencies)
3. Determine applicable security rules

Phase 2: Static Analysis

1. Pattern matching for known vulnerabilities
2. Data flow analysis for injection paths
3. Configuration review

Phase 3: Secrets Scanning

1. High-confidence pattern matching
2. Entropy analysis for potential secrets
3. Git history check (optional)

Phase 4: Dependency Analysis

1. Parse package manifests
2. Check against vulnerability databases
3. Identify outdated packages

Phase 5: Reporting

1. Deduplicate findings
2. Assign severity scores
3. Generate actionable report
4. Provide remediation guidance

Configuration

Project-Level Config

Create .security-scan.yaml in project root:

# Scan configuration
scan:
  exclude:
    - "node_modules/**"
    - "vendor/**"
    - "**/*.test.ts"
    - "**/__mocks__/**"

# Severity thresholds
thresholds:
  fail_on: critical    # critical, high, medium, low
  warn_on: medium

# Category toggles
categories:
  injection: true
  secrets: true
  crypto: true
  auth: true
  config: true
  dependencies: true

# Custom patterns
patterns:
  secrets:
    - name: "Internal API Key"
      pattern: "INTERNAL_[A-Z]{3}_KEY_[a-zA-Z0-9]{32}"
      severity: high

Ignore Patterns

Create .security-scan-ignore for false positives:

# Ignore specific files
src/test/fixtures/mock-credentials.ts

# Ignore specific lines (use inline comment)
# security-scan-ignore: test fixture
const mockApiKey = "sk_test_fake123";

Command Reference

CommandDescription
/security-scanFull security scan
/security-scan --quickCritical issues only
/security-scan --scope <path>Scan specific path
/security-scan --focus <cat>Single category
/security-scan --detailsVerbose output
/security-scan --jsonJSON output
/security-scan --fixAuto-fix where possible

Related Skills

  • /secrets-scan - Deep secrets detection
  • /dependency-scan - Package vulnerability analysis
  • /config-scan - Configuration security review
  • /review-code - General code review (includes security)

References

  • references/owasp/ - OWASP Top 10 detection details
  • references/patterns/ - Language-specific vulnerability patterns
  • references/remediation/ - Fix guidance by vulnerability type
  • assets/severity-matrix.md - Severity scoring criteria

平台分布

Codex

38.37%
按下载量换算850

Claude

32.35%
按下载量换算717

Cursor

17.03%
按下载量换算377

Gemini CLI

10.18%
按下载量换算226

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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