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Topic: appsec

38 skills in this topic.

dast-zap Dynamic application security testing (DAST) using OWASP ZAP (Zed Attack Proxy) with passive and active scanning, API testing, and OWASP Top 10 vulnerability detection. Use when: (1) Performing runtime security testing of web applications and APIs, (2) Detecting vulnerabilities like XSS, SQL injection, and authentication flaws in deployed applications, (3) Automating security scans in CI/CD pipelines with Docker containers, (4) Conducting authenticated testing with session management, (5) Generating security reports with OWASP and CWE mappings for compliance.
AgentSecOps/SecOpsAgentKit 84
sast-bandit Python security vulnerability detection using Bandit SAST with CWE and OWASP mapping. Use when: (1) Scanning Python code for security vulnerabilities and anti-patterns, (2) Identifying hardcoded secrets, SQL injection, command injection, and insecure APIs, (3) Generating security reports with severity classifications for CI/CD pipelines, (4) Providing remediation guidance with security framework references, (5) Enforcing Python security best practices in development workflows.
AgentSecOps/SecOpsAgentKit 84
sast-semgrep Static application security testing (SAST) using Semgrep for vulnerability detection, security code review, and secure coding guidance with OWASP and CWE framework mapping. Use when: (1) Scanning code for security vulnerabilities across multiple languages, (2) Performing security code reviews with pattern-based detection, (3) Integrating SAST checks into CI/CD pipelines, (4) Providing remediation guidance with OWASP Top 10 and CWE mappings, (5) Creating custom security rules for organization-specific patterns, (6) Analyzing dependencies for known vulnerabilities.
AgentSecOps/SecOpsAgentKit 84
sca-blackduck Software Composition Analysis (SCA) using Synopsys Black Duck for identifying open source vulnerabilities, license compliance risks, and supply chain security threats with CVE, CWE, and OWASP framework mapping. Use when: (1) Scanning dependencies for known vulnerabilities and security risks, (2) Analyzing open source license compliance and legal risks, (3) Identifying outdated or unmaintained dependencies, (4) Integrating SCA into CI/CD pipelines for continuous dependency monitoring, (5) Providing remediation guidance for vulnerable dependencies with CVE and CWE mappings, (6) Assessing supply chain security risks and third-party component threats.
AgentSecOps/SecOpsAgentKit 84
policy-opa Policy-as-code enforcement and compliance validation using Open Policy Agent (OPA). Use when: (1) Enforcing security and compliance policies across infrastructure and applications, (2) Validating Kubernetes admission control policies, (3) Implementing policy-as-code for compliance frameworks (SOC2, PCI-DSS, GDPR, HIPAA), (4) Testing and evaluating OPA Rego policies, (5) Integrating policy checks into CI/CD pipelines, (6) Auditing configuration drift against organizational security standards, (7) Implementing least-privilege access controls.
AgentSecOps/SecOpsAgentKit 84
skill-name [REQUIRED] Comprehensive description of what this skill does and when to use it. Include: (1) Primary functionality, (2) Specific use cases, (3) Security operations context. Must include specific "Use when:" clause for skill discovery. Example: "SAST vulnerability analysis and remediation guidance using Semgrep and industry security standards. Use when: (1) Analyzing static code for security vulnerabilities, (2) Prioritizing security findings by severity, (3) Providing secure coding remediation, (4) Integrating security checks into CI/CD pipelines." Maximum 1024 characters.
AgentSecOps/SecOpsAgentKit 84
container-hadolint Dockerfile security linting and best practice validation using Hadolint with 100+ built-in rules aligned to CIS Docker Benchmark. Use when: (1) Analyzing Dockerfiles for security misconfigurations and anti-patterns, (2) Enforcing container image security best practices in CI/CD pipelines, (3) Detecting hardcoded secrets and credentials in container builds, (4) Validating compliance with CIS Docker Benchmark requirements, (5) Integrating shift-left container security into developer workflows, (6) Providing remediation guidance for insecure Dockerfile instructions.
AgentSecOps/SecOpsAgentKit 84
iac-checkov Infrastructure as Code (IaC) security scanning using Checkov with 750+ built-in policies for Terraform, CloudFormation, Kubernetes, Dockerfile, and ARM templates. Use when: (1) Scanning IaC files for security misconfigurations and compliance violations, (2) Validating cloud infrastructure against CIS, PCI-DSS, HIPAA, and SOC2 benchmarks, (3) Detecting secrets and hardcoded credentials in IaC, (4) Implementing policy-as-code in CI/CD pipelines, (5) Generating compliance reports with remediation guidance for cloud security posture management.
AgentSecOps/SecOpsAgentKit 84
sca-trivy Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2) Analyzing dependencies for known CVEs across multiple languages (Go, Python, Node.js, Java, etc.), (3) Detecting IaC security issues in Terraform, Kubernetes, Dockerfile, (4) Integrating vulnerability scanning into CI/CD pipelines with SARIF output, (5) Generating Software Bill of Materials (SBOM) in CycloneDX or SPDX format, (6) Prioritizing remediation by CVSS score and exploitability.
AgentSecOps/SecOpsAgentKit 84
secrets-gitleaks Hardcoded secret detection and prevention in git repositories and codebases using Gitleaks. Identifies passwords, API keys, tokens, and credentials through regex-based pattern matching and entropy analysis. Use when: (1) Scanning repositories for exposed secrets and credentials, (2) Implementing pre-commit hooks to prevent secret leakage, (3) Integrating secret detection into CI/CD pipelines, (4) Auditing codebases for compliance violations (PCI-DSS, SOC2, GDPR), (5) Establishing baseline secret detection and tracking new exposures, (6) Remediating historical secret exposures in git history.
AgentSecOps/SecOpsAgentKit 84
detection-sigma Generic detection rule creation and management using Sigma, the universal SIEM rule format. Sigma provides vendor-agnostic detection logic for log analysis across multiple SIEM platforms. Use when: (1) Creating detection rules for security monitoring, (2) Converting rules between SIEM platforms (Splunk, Elastic, QRadar, Sentinel), (3) Threat hunting with standardized detection patterns, (4) Building detection-as-code pipelines, (5) Mapping detections to MITRE ATT&CK tactics, (6) Implementing compliance-based monitoring rules.
AgentSecOps/SecOpsAgentKit 84
forensics-osquery SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases. Enables rapid evidence collection, threat hunting, and incident response across Linux, macOS, and Windows endpoints. Use when: (1) Investigating security incidents and collecting forensic artifacts, (2) Threat hunting across endpoints for suspicious activity, (3) Analyzing running processes, network connections, and persistence mechanisms, (4) Collecting system state during incident response, (5) Querying file hashes, user activity, and system configuration for compromise indicators, (6) Building detection queries for continuous monitoring with osqueryd.
AgentSecOps/SecOpsAgentKit 84
ir-velociraptor Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale. Use when: (1) Conducting forensic investigations across multiple endpoints, (2) Hunting for indicators of compromise or suspicious activities, (3) Collecting endpoint telemetry and artifacts for incident analysis, (4) Performing live response and evidence preservation, (5) Monitoring endpoints for security events, (6) Creating custom forensic artifacts for specific threat scenarios.
AgentSecOps/SecOpsAgentKit 84
analysis-tshark Network protocol analyzer and packet capture tool for traffic analysis, security investigations, and forensic examination using Wireshark's command-line interface. Use when: (1) Analyzing network traffic for security incidents and malware detection, (2) Capturing and filtering packets for forensic analysis, (3) Extracting credentials and sensitive data from network captures, (4) Investigating network anomalies and attack patterns, (5) Validating encryption and security controls, (6) Performing protocol analysis for vulnerability research.
AgentSecOps/SecOpsAgentKit 84