By tonone-ai
Design a complete SAST/DAST scanning pipeline with tooling selection, CI integration, and triage workflow for security vulnerability detection in CI/CD
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npx claudepluginhub tonone-ai/tonone --plugin sast-scanSecurity Operations Team — Sast: Application security — SAST/DAST scanning, code security review, secure SDLC design
Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.
OpenText Fortify AppSec skills. Use for SAST/DAST/SCA scanning, vulnerability triage, audit workflows, CI/CD pipeline integration, and FCLI commands. Supports Fortify on Demand (FoD) and Software Security Center (SSC).
Configure, run, and interpret HawkScan DAST results inside Claude Code. Generates stackhawk.yml configs, runs scans via CLI or Docker, and transforms security findings into prioritized fix tasks for your coding agent.
Application security testing including SAST, DAST, dependency scanning, API security, and web security headers.
A team of AI security specialists embedded in your coding workflow. 8 agents covering every phase of the Secure SDLC: requirements, threat modelling, code review, IaC security, compliance, and release gating. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible tool.
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".