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sast-configuration稳定配置

Agent Skill

sast-configuration 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

132,192

周安装

5,417

GitHub Stars

34,465

下载量

42,336
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:sast-configuration(稳定配置)
来源仓库:https://github.com/wshobson/agents
仓库路径:skills/sast-configuration
安装命令:
npx skills add https://github.com/wshobson/agents --skill sast-configuration
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/wshobson/agents --skill sast-configuration

简介

配置 SAST 工具以跨多种语言和 CI/CD 管道进行自动漏洞检测。

  • 涵盖三个主要 SAST 平台:Semgrep(基于自定义模式的规则)、SonarQube(质量门和代码覆盖率)和 CodeQL(GitHub 高级安全集成)
  • 包括 GitHub Actions、GitLab CI 和 Jenkins 的 CI/CD 集成模式,以及用于早期检测的预提交挂钩设置
  • 为大型代码库提供生产就绪的配置模板、自定义规则示例和性能优化策略
  • 解决误报管理、合规性扫描(PCI-DSS、SOC 2)和团队支持工作流程

SKILL.md

SAST Configuration

Static Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages.

Overview

This skill provides comprehensive guidance for setting up and configuring SAST tools including Semgrep, SonarQube, and CodeQL. Use this skill when you need to:

  • Set up SAST scanning in CI/CD pipelines
  • Create custom security rules for your codebase
  • Configure quality gates and compliance policies
  • Optimize scan performance and reduce false positives
  • Integrate multiple SAST tools for defense-in-depth

Core Capabilities

1. Semgrep Configuration

  • Custom rule creation with pattern matching
  • Language-specific security rules (Python, JavaScript, Go, Java, etc.)
  • CI/CD integration (GitHub Actions, GitLab CI, Jenkins)
  • False positive tuning and rule optimization
  • Organizational policy enforcement

2. SonarQube Setup

  • Quality gate configuration
  • Security hotspot analysis
  • Code coverage and technical debt tracking
  • Custom quality profiles for languages
  • Enterprise integration with LDAP/SAML

3. CodeQL Analysis

  • GitHub Advanced Security integration
  • Custom query development
  • Vulnerability variant analysis
  • Security research workflows
  • SARIF result processing

Quick Start

Initial Assessment

  1. Identify primary programming languages in your codebase
  2. Determine compliance requirements (PCI-DSS, SOC 2, etc.)
  3. Choose SAST tool based on language support and integration needs
  4. Review baseline scan to understand current security posture

Basic Setup

# Semgrep quick start
pip install semgrep
semgrep --config=auto --error

# SonarQube with Docker
docker run -d --name sonarqube -p 9000:9000 sonarqube:10.8-community

# CodeQL CLI setup
gh extension install github/gh-codeql
codeql database create mydb --language=python

Reference Documentation

Templates & Assets

Integration Patterns

CI/CD Pipeline Integration

# GitHub Actions example
- name: Run Semgrep
  uses: returntocorp/semgrep-action@v1
  with:
    config: >-
      p/security-audit
      p/owasp-top-ten

Pre-commit Hook

# .pre-commit-config.yaml
- repo: https://github.com/returntocorp/semgrep
  rev: v1.45.0
  hooks:
    - id: semgrep
      args: ['--config=auto', '--error']

Best Practices

  1. Start with Baseline

- Run initial scan to establish security baseline - Prioritize critical and high severity findings - Create remediation roadmap

  1. Incremental Adoption

- Begin with security-focused rules - Gradually add code quality rules - Implement blocking only for critical issues

  1. False Positive Management

- Document legitimate suppressions - Create allow lists for known safe patterns - Regularly review suppressed findings

  1. Performance Optimization

- Exclude test files and generated code - Use incremental scanning for large codebases - Cache scan results in CI/CD

  1. Team Enablement

- Provide security training for developers - Create internal documentation for common patterns - Establish security champions program

Common Use Cases

New Project Setup

./scripts/run-sast.sh --setup --language python --tools semgrep,sonarqube

Custom Rule Development

# See references/semgrep-rules.md for detailed examples
rules:
  - id: hardcoded-jwt-secret
    pattern: jwt.encode($DATA, "...", ...)
    message: JWT secret should not be hardcoded
    severity: ERROR

Compliance Scanning

# PCI-DSS focused scan
semgrep --config p/pci-dss --json -o pci-scan-results.json

Troubleshooting

High False Positive Rate

  • Review and tune rule sensitivity
  • Add path filters to exclude test files
  • Use nostmt metadata for noisy patterns
  • Create organization-specific rule exceptions

Performance Issues

  • Enable incremental scanning
  • Parallelize scans across modules
  • Optimize rule patterns for efficiency
  • Cache dependencies and scan results

Integration Failures

  • Verify API tokens and credentials
  • Check network connectivity and proxy settings
  • Review SARIF output format compatibility
  • Validate CI/CD runner permissions

Related Skills

Tool Comparison

ToolBest ForLanguage SupportCostIntegration
SemgrepCustom rules, fast scans30+ languagesFree/EnterpriseExcellent
SonarQubeCode quality + security25+ languagesFree/CommercialGood
CodeQLDeep analysis, research10+ languagesFree (OSS)GitHub native

Next Steps

  1. Complete initial SAST tool setup
  2. Run baseline security scan
  3. Create custom rules for organization-specific patterns
  4. Integrate into CI/CD pipeline
  5. Establish security gate policies
  6. Train development team on findings and remediation

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

Claude Code

26.57%
按下载量换算11,249

Cursor

21.61%
按下载量换算9,149

OpenCode

19.49%
按下载量换算8,251

Gemini CLI

12.48%
按下载量换算5,284

Antigravity

8.53%
按下载量换算3,611

Codex

3.44%
按下载量换算1,456

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。

来源信息

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