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security-scanning-security-sast安全扫描 安全 sast

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

698

周安装

30

GitHub Stars

692

下载量

245
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

3

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:security-scanning-security-sast(安全扫描 安全 sast)
来源仓库:https://github.com/rmyndharis/antigravity-skills
仓库路径:skills/security-scanning-security-sast
安装命令:
npx skills add https://github.com/rmyndharis/antigravity-skills --skill security-scanning-security-sast
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rmyndharis/antigravity-skills --skill security-scanning-security-sast

简介

用于源代码静态安全分析和漏洞检测。

  • 适合识别代码中的注入和逻辑缺陷。security-scanning-security-sast 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可检查硬编码凭证和错误消息泄露。
  • 安装需通过 npx skills add 命令从指定仓库获取。
  • 适用于 CI/CD 流程中的自动化安全检查。

SKILL.md

SAST Security Plugin

Static Application Security Testing (SAST) for comprehensive code vulnerability detection across multiple languages, frameworks, and security patterns.

Capabilities

  • Multi-language SAST: Python, JavaScript/TypeScript, Java, Ruby, PHP, Go, Rust
  • Tool integration: Bandit, Semgrep, ESLint Security, SonarQube, CodeQL, PMD, SpotBugs, Brakeman, gosec, cargo-clippy
  • Vulnerability patterns: SQL injection, XSS, hardcoded secrets, path traversal, IDOR, CSRF, insecure deserialization
  • Framework analysis: Django, Flask, React, Express, Spring Boot, Rails, Laravel
  • Custom rule authoring: Semgrep pattern development for organization-specific security policies

Use this skill when

Use for code review security analysis, injection vulnerabilities, hardcoded secrets, framework-specific patterns, custom security policy enforcement, pre-deployment validation, legacy code assessment, and compliance (OWASP, PCI-DSS, SOC2).

Specialized tools: Use security-secrets.md for advanced credential scanning, security-owasp.md for Top 10 mapping, security-api.md for REST/GraphQL endpoints.

Do not use this skill when

  • You only need runtime testing or penetration testing
  • You cannot access the source code or build outputs
  • The environment forbids third-party scanning tools

Instructions

  1. Identify the languages, frameworks, and scope to scan.
  2. Select SAST tools and configure rules for the codebase.
  3. Run scans in CI or locally with reproducible settings.
  4. Triage findings, prioritize by severity, and propose fixes.

Safety

  • Avoid uploading proprietary code to external services without approval.
  • Require review before enabling auto-fix or blocking releases.

SAST Tool Selection

Python: Bandit

# Installation & scan
pip install bandit
bandit -r . -f json -o bandit-report.json
bandit -r . -ll -ii -f json  # High/Critical only

Configuration: .bandit

exclude_dirs: ['/tests/', '/venv/', '/.tox/', '/build/']
tests: [B201, B301, B302, B303, B304, B305, B307, B308, B312, B323, B324, B501, B502, B506, B602, B608]
skips: [B101]

JavaScript/TypeScript: ESLint Security

npm install --save-dev eslint @eslint/plugin-security eslint-plugin-no-secrets
eslint . --ext .js,.jsx,.ts,.tsx --format json > eslint-security.json

Configuration: .eslintrc-security.json

{
  "plugins": ["@eslint/plugin-security", "eslint-plugin-no-secrets"],
  "extends": ["plugin:security/recommended"],
  "rules": {
    "security/detect-object-injection": "error",
    "security/detect-non-literal-fs-filename": "error",
    "security/detect-eval-with-expression": "error",
    "security/detect-pseudo-random-prng": "error",
    "no-secrets/no-secrets": "error"
  }
}

Multi-Language: Semgrep

pip install semgrep
semgrep --config=auto --json --output=semgrep-report.json
semgrep --config=p/security-audit --json
semgrep --config=p/owasp-top-ten --json
semgrep ci --config=auto  # CI mode

Custom Rules: .semgrep.yml

rules:
  - id: sql-injection-format-string
    pattern: cursor.execute("... %s ..." % $VAR)
    message: SQL injection via string formatting
    severity: ERROR
    languages: [python]
    metadata:
      cwe: "CWE-89"
      owasp: "A03:2021-Injection"

  - id: dangerous-innerHTML
    pattern: $ELEM.innerHTML = $VAR
    message: XSS via innerHTML assignment
    severity: ERROR
    languages: [javascript, typescript]
    metadata:
      cwe: "CWE-79"

  - id: hardcoded-aws-credentials
    patterns:
      - pattern: $KEY = "AKIA..."
      - metavariable-regex:
          metavariable: $KEY
          regex: "(aws_access_key_id|AWS_ACCESS_KEY_ID)"
    message: Hardcoded AWS credentials detected
    severity: ERROR
    languages: [python, javascript, java]

  - id: path-traversal-open
    patterns:
      - pattern: open($PATH, ...)
      - pattern-not: open(os.path.join(SAFE_DIR, ...), ...)
      - metavariable-pattern:
          metavariable: $PATH
          patterns:
            - pattern: $REQ.get(...)
    message: Path traversal via user input
    severity: ERROR
    languages: [python]

  - id: command-injection
    patterns:
      - pattern-either:
          - pattern: os.system($CMD)
          - pattern: subprocess.call($CMD, shell=True)
      - metavariable-pattern:
          metavariable: $CMD
          patterns:
            - pattern-either:
                - pattern: $X + $Y
                - pattern: f"...{$VAR}..."
    message: Command injection via shell=True
    severity: ERROR
    languages: [python]

Other Language Tools

Java: mvn spotbugs:check Ruby: brakeman -o report.json -f json Go: gosec -fmt=json -out=gosec.json./... Rust: cargo clippy -- -W clippy::unwrap_used

Vulnerability Patterns

SQL Injection

VULNERABLE: String formatting/concatenation with user input in SQL queries

SECURE:

# Parameterized queries
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
User.objects.filter(id=user_id)  # ORM

Cross-Site Scripting (XSS)

VULNERABLE: Direct HTML manipulation with unsanitized user input (innerHTML, outerHTML, document.write)

SECURE:

// Use textContent for plain text
element.textContent = userInput;

// React auto-escapes
<div>{userInput}</div>

// Sanitize when HTML required
import DOMPurify from 'dompurify';
element.innerHTML = DOMPurify.sanitize(userInput);

Hardcoded Secrets

VULNERABLE: Hardcoded API keys, passwords, tokens in source code

SECURE:

import os
API_KEY = os.environ.get('API_KEY')
PASSWORD = os.getenv('DB_PASSWORD')

Path Traversal

VULNERABLE: Opening files using unsanitized user input

SECURE:

import os
ALLOWED_DIR = '/var/www/uploads'
file_name = request.args.get('file')
file_path = os.path.join(ALLOWED_DIR, file_name)
file_path = os.path.realpath(file_path)
if not file_path.startswith(os.path.realpath(ALLOWED_DIR)):
    raise ValueError("Invalid file path")
with open(file_path, 'r') as f:
    content = f.read()

Insecure Deserialization

VULNERABLE: pickle.loads(), yaml.load() with untrusted data

SECURE:

import json
data = json.loads(user_input)  # SECURE
import yaml
config = yaml.safe_load(user_input)  # SECURE

Command Injection

VULNERABLE: os.system() or subprocess with shell=True and user input

SECURE:

subprocess.run(['ping', '-c', '4', user_input])  # Array args
import shlex
safe_input = shlex.quote(user_input)  # Input validation

Insecure Random

VULNERABLE: random module for security-critical operations

SECURE:

import secrets
token = secrets.token_hex(16)
session_id = secrets.token_urlsafe(32)

Framework Security

Django

VULNERABLE: @csrf_exempt, DEBUG=True, weak SECRET_KEY, missing security middleware

SECURE:

# settings.py
DEBUG = False
SECRET_KEY = os.environ.get('DJANGO_SECRET_KEY')

MIDDLEWARE = [
    'django.middleware.security.SecurityMiddleware',
    'django.middleware.csrf.CsrfViewMiddleware',
    'django.middleware.clickjacking.XFrameOptionsMiddleware',
]

SECURE_SSL_REDIRECT = True
SESSION_COOKIE_SECURE = True
CSRF_COOKIE_SECURE = True
X_FRAME_OPTIONS = 'DENY'

Flask

VULNERABLE: debug=True, weak secret_key, CORS wildcard

SECURE:

import os
from flask_talisman import Talisman

app.secret_key = os.environ.get('FLASK_SECRET_KEY')
Talisman(app, force_https=True)
CORS(app, origins=['https://example.com'])

Express.js

VULNERABLE: Missing helmet, CORS wildcard, no rate limiting

SECURE:

const helmet = require('helmet');
const rateLimit = require('express-rate-limit');

app.use(helmet());
app.use(cors({ origin: 'https://example.com' }));
app.use(rateLimit({ windowMs: 15 * 60 * 1000, max: 100 }));

Multi-Language Scanner Implementation

import json
import subprocess
from pathlib import Path
from typing import Dict, List, Any
from dataclasses import dataclass
from datetime import datetime

@dataclass
class SASTFinding:
    tool: str
    severity: str
    category: str
    title: str
    description: str
    file_path: str
    line_number: int
    cwe: str
    owasp: str
    confidence: str

class MultiLanguageSASTScanner:
    def __init__(self, project_path: str):
        self.project_path = Path(project_path)
        self.findings: List[SASTFinding] = []

    def detect_languages(self) -> List[str]:
        """Auto-detect languages"""
        languages = []
        indicators = {
            'python': ['*.py', 'requirements.txt'],
            'javascript': ['*.js', 'package.json'],
            'typescript': ['*.ts', 'tsconfig.json'],
            'java': ['*.java', 'pom.xml'],
            'ruby': ['*.rb', 'Gemfile'],
            'go': ['*.go', 'go.mod'],
            'rust': ['*.rs', 'Cargo.toml'],
        }
        for lang, patterns in indicators.items():
            for pattern in patterns:
                if list(self.project_path.glob(f'**/{pattern}')):
                    languages.append(lang)
                    break
        return languages

    def run_comprehensive_sast(self) -> Dict[str, Any]:
        """Execute all applicable SAST tools"""
        languages = self.detect_languages()

        scan_results = {
            'timestamp': datetime.now().isoformat(),
            'languages': languages,
            'tools_executed': [],
            'findings': []
        }

        self.run_semgrep_scan()
        scan_results['tools_executed'].append('semgrep')

        if 'python' in languages:
            self.run_bandit_scan()
            scan_results['tools_executed'].append('bandit')
        if 'javascript' in languages or 'typescript' in languages:
            self.run_eslint_security_scan()
            scan_results['tools_executed'].append('eslint-security')

        scan_results['findings'] = [vars(f) for f in self.findings]
        scan_results['summary'] = self.generate_summary()
        return scan_results

    def run_semgrep_scan(self):
        """Run Semgrep"""
        for ruleset in ['auto', 'p/security-audit', 'p/owasp-top-ten']:
            try:
                result = subprocess.run([
                    'semgrep', '--config', ruleset, '--json', '--quiet',
                    str(self.project_path)
                ], capture_output=True, text=True, timeout=300)

                if result.stdout:
                    data = json.loads(result.stdout)
                    for f in data.get('results', []):
                        self.findings.append(SASTFinding(
                            tool='semgrep',
                            severity=f.get('extra', {}).get('severity', 'MEDIUM').upper(),
                            category='sast',
                            title=f.get('check_id', ''),
                            description=f.get('extra', {}).get('message', ''),
                            file_path=f.get('path', ''),
                            line_number=f.get('start', {}).get('line', 0),
                            cwe=f.get('extra', {}).get('metadata', {}).get('cwe', ''),
                            owasp=f.get('extra', {}).get('metadata', {}).get('owasp', ''),
                            confidence=f.get('extra', {}).get('metadata', {}).get('confidence', 'MEDIUM')
                        ))
            except Exception as e:
                print(f"Semgrep {ruleset} failed: {e}")

    def generate_summary(self) -> Dict[str, Any]:
        """Generate statistics"""
        severity_counts = {'CRITICAL': 0, 'HIGH': 0, 'MEDIUM': 0, 'LOW': 0}
        for f in self.findings:
            severity_counts[f.severity] = severity_counts.get(f.severity, 0) + 1

        return {
            'total_findings': len(self.findings),
            'severity_breakdown': severity_counts,
            'risk_score': self.calculate_risk_score(severity_counts)
        }

    def calculate_risk_score(self, severity_counts: Dict[str, int]) -> int:
        """Risk score 0-100"""
        weights = {'CRITICAL': 10, 'HIGH': 7, 'MEDIUM': 4, 'LOW': 1}
        total = sum(weights[s] * c for s, c in severity_counts.items())
        return min(100, int((total / 50) * 100))

CI/CD Integration

GitHub Actions

name: SAST Scan
on:
  pull_request:
    branches: [main]

jobs:
  sast:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: '3.11'

      - name: Install tools
        run: |
          pip install bandit semgrep
          npm install -g eslint @eslint/plugin-security

      - name: Run scans
        run: |
          bandit -r . -f json -o bandit.json || true
          semgrep --config=auto --json --output=semgrep.json || true

      - name: Upload reports
        uses: actions/upload-artifact@v3
        with:
          name: sast-reports
          path: |
            bandit.json
            semgrep.json

GitLab CI

sast:
  stage: test
  image: python:3.11
  script:
    - pip install bandit semgrep
    - bandit -r . -f json -o bandit.json || true
    - semgrep --config=auto --json --output=semgrep.json || true
  artifacts:
    reports:
      sast: bandit.json

Best Practices

  1. Run early and often - Pre-commit hooks and CI/CD
  2. Combine multiple tools - Different tools catch different vulnerabilities
  3. Tune false positives - Configure exclusions and thresholds
  4. Prioritize findings - Focus on CRITICAL/HIGH first
  5. Framework-aware scanning - Use specific rulesets
  6. Custom rules - Organization-specific patterns
  7. Developer training - Secure coding practices
  8. Incremental remediation - Fix gradually
  9. Baseline management - Track known issues
  10. Regular updates - Keep tools current

Related Tools

  • security-secrets.md - Advanced credential detection
  • security-owasp.md - OWASP Top 10 assessment
  • security-api.md - API security testing
  • security-scan.md - Comprehensive security scanning

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

能力 5

展示第三方安全扫描或审计结果

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

Codex

27.71%
按下载量换算68

windsurf

24.22%
按下载量换算59

trae

17.36%
按下载量换算43

Claude Code

12.61%
按下载量换算31

Antigravity

8.78%
按下载量换算22

qoder

3.36%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。

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