[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DXY2SHDA72ZRTWZMK4WRWQ":3,"skill-same:01M6DXY2SHDA72ZRTWZMK4WRWQ":104},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":14,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":59,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M6DXY2SHDA72ZRTWZMK4WRWQ","senior-architect",null,"Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.","EthanSheehan\u002FGrid-Sentinel","EthanSheehan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F174215275?v=4","01M6DX9589ENESB2AYW9YK4Y50","Ethan Sheehan","01M6DX95P06JXASASFQZRFQ1NM",0,"MIT","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"senior architect","architect","stack","software","express","postgres","diagrams","design patterns","system design","dependency","react native","decision","design","analysis","nextjs","architecture diagram","diagram","architecture","react","go","2026-11-10 10:12:30",false,"---\nname: senior-architect\ndescription: Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.\n---\n\n# Senior Architect\n\nComplete toolkit for senior architect with modern tools and best practices.\n\n## Quick Start\n\n### Main Capabilities\n\nThis skill provides three core capabilities through automated scripts:\n\n```bash\n# Script 1: Architecture Diagram Generator\npython scripts\u002Farchitecture_diagram_generator.py [options]\n\n# Script 2: Project Architect\npython scripts\u002Fproject_architect.py [options]\n\n# Script 3: Dependency Analyzer\npython scripts\u002Fdependency_analyzer.py [options]\n```\n\n## Core Capabilities\n\n### 1. Architecture Diagram Generator\n\nAutomated tool for architecture diagram generator tasks.\n\n**Features:**\n- Automated scaffolding\n- Best practices built-in\n- Configurable templates\n- Quality checks\n\n**Usage:**\n```bash\npython scripts\u002Farchitecture_diagram_generator.py \u003Cproject-path> [options]\n```\n\n### 2. Project Architect\n\nComprehensive analysis and optimization tool.\n\n**Features:**\n- Deep analysis\n- Performance metrics\n- Recommendations\n- Automated fixes\n\n**Usage:**\n```bash\npython scripts\u002Fproject_architect.py \u003Ctarget-path> [--verbose]\n```\n\n### 3. Dependency Analyzer\n\nAdvanced tooling for specialized tasks.\n\n**Features:**\n- Expert-level automation\n- Custom configurations\n- Integration ready\n- Production-grade output\n\n**Usage:**\n```bash\npython scripts\u002Fdependency_analyzer.py [arguments] [options]\n```\n\n## Reference Documentation\n\n### Architecture Patterns\n\nComprehensive guide available in `references\u002Farchitecture_patterns.md`:\n\n- Detailed patterns and practices\n- Code examples\n- Best practices\n- Anti-patterns to avoid\n- Real-world scenarios\n\n### System Design Workflows\n\nComplete workflow documentation in `references\u002Fsystem_design_workflows.md`:\n\n- Step-by-step processes\n- Optimization strategies\n- Tool integrations\n- Performance tuning\n- Troubleshooting guide\n\n### Tech Decision Guide\n\nTechnical reference guide in `references\u002Ftech_decision_guide.md`:\n\n- Technology stack details\n- Configuration examples\n- Integration patterns\n- Security considerations\n- Scalability guidelines\n\n## Tech Stack\n\n**Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin\n**Frontend:** React, Next.js, React Native, Flutter\n**Backend:** Node.js, Express, GraphQL, REST APIs\n**Database:** PostgreSQL, Prisma, NeonDB, Supabase\n**DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI\n**Cloud:** AWS, GCP, Azure\n\n## Development Workflow\n\n### 1. Setup and Configuration\n\n```bash\n# Install dependencies\nnpm install\n# or\npip install -r requirements.txt\n\n# Configure environment\ncp .env.example .env\n```\n\n### 2. Run Quality Checks\n\n```bash\n# Use the analyzer script\npython scripts\u002Fproject_architect.py .\n\n# Review recommendations\n# Apply fixes\n```\n\n### 3. Implement Best Practices\n\nFollow the patterns and practices documented in:\n- `references\u002Farchitecture_patterns.md`\n- `references\u002Fsystem_design_workflows.md`\n- `references\u002Ftech_decision_guide.md`\n\n## Best Practices Summary\n\n### Code Quality\n- Follow established patterns\n- Write comprehensive tests\n- Document decisions\n- Review regularly\n\n### Performance\n- Measure before optimizing\n- Use appropriate caching\n- Optimize critical paths\n- Monitor in production\n\n### Security\n- Validate all inputs\n- Use parameterized queries\n- Implement proper authentication\n- Keep dependencies updated\n\n### Maintainability\n- Write clear code\n- Use consistent naming\n- Add helpful comments\n- Keep it simple\n\n## Common Commands\n\n```bash\n# Development\nnpm run dev\nnpm run build\nnpm run test\nnpm run lint\n\n# Analysis\npython scripts\u002Fproject_architect.py .\npython scripts\u002Fdependency_analyzer.py --analyze\n\n# Deployment\ndocker build -t app:latest .\ndocker-compose up -d\nkubectl apply -f k8s\u002F\n```\n\n## Troubleshooting\n\n### Common Issues\n\nCheck the comprehensive troubleshooting section in `references\u002Ftech_decision_guide.md`.\n\n### Getting Help\n\n- Review reference documentation\n- Check script output messages\n- Consult tech stack documentation\n- Review error logs\n\n## Resources\n\n- Pattern Reference: `references\u002Farchitecture_patterns.md`\n- Workflow Guide: `references\u002Fsystem_design_workflows.md`\n- Technical Guide: `references\u002Ftech_decision_guide.md`\n- Tool Scripts: `scripts\u002F` directory\n","# Senior Architect\n\nComplete toolkit for senior architect with modern tools and best practices.\n\n## Quick Start\n\n### Main Capabilities\n\nThis skill provides three core capabilities through automated scripts:\n\n```bash\n# Script 1: Architecture Diagram Generator\npython scripts\u002Farchitecture_diagram_generator.py [options]\n\n# Script 2: Project Architect\npython scripts\u002Fproject_architect.py [options]\n\n# Script 3: Dependency Analyzer\npython scripts\u002Fdependency_analyzer.py [options]\n```\n\n## Core Capabilities\n\n### 1. Architecture Diagram Generator\n\nAutomated tool for architecture diagram generator tasks.\n\n**Features:**\n- Automated scaffolding\n- Best practices built-in\n- Configurable templates\n- Quality checks\n\n**Usage:**\n```bash\npython scripts\u002Farchitecture_diagram_generator.py \u003Cproject-path> [options]\n```\n\n### 2. Project Architect\n\nComprehensive analysis and optimization tool.\n\n**Features:**\n- Deep analysis\n- Performance metrics\n- Recommendations\n- Automated fixes\n\n**Usage:**\n```bash\npython scripts\u002Fproject_architect.py \u003Ctarget-path> [--verbose]\n```\n\n### 3. Dependency Analyzer\n\nAdvanced tooling for specialized tasks.\n\n**Features:**\n- Expert-level automation\n- Custom configurations\n- Integration ready\n- Production-grade output\n\n**Usage:**\n```bash\npython scripts\u002Fdependency_analyzer.py [arguments] [options]\n```\n\n## Reference Documentation\n\n### Architecture Patterns\n\nComprehensive guide available in `references\u002Farchitecture_patterns.md`:\n\n- Detailed patterns and practices\n- Code examples\n- Best practices\n- Anti-patterns to avoid\n- Real-world scenarios\n\n### System Design Workflows\n\nComplete workflow documentation in `references\u002Fsystem_design_workflows.md`:\n\n- Step-by-step processes\n- Optimization strategies\n- Tool integrations\n- Performance tuning\n- Troubleshooting guide\n\n### Tech Decision Guide\n\nTechnical reference guide in `references\u002Ftech_decision_guide.md`:\n\n- Technology stack details\n- Configuration examples\n- Integration patterns\n- Security considerations\n- Scalability guidelines\n\n## Tech Stack\n\n**Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin\n**Frontend:** React, Next.js, React Native, Flutter\n**Backend:** Node.js, Express, GraphQL, REST APIs\n**Database:** PostgreSQL, Prisma, NeonDB, Supabase\n**DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI\n**Cloud:** AWS, GCP, Azure\n\n## Development Workflow\n\n### 1. Setup and Configuration\n\n```bash\n# Install dependencies\nnpm install\n# or\npip install -r requirements.txt\n\n# Configure environment\ncp .env.example .env\n```\n\n### 2. Run Quality Checks\n\n```bash\n# Use the analyzer script\npython scripts\u002Fproject_architect.py .\n\n# Review recommendations\n# Apply fixes\n```\n\n### 3. Implement Best Practices\n\nFollow the patterns and practices documented in:\n- `references\u002Farchitecture_patterns.md`\n- `references\u002Fsystem_design_workflows.md`\n- `references\u002Ftech_decision_guide.md`\n\n## Best Practices Summary\n\n### Code Quality\n- Follow established patterns\n- Write comprehensive tests\n- Document decisions\n- Review regularly\n\n### Performance\n- Measure before optimizing\n- Use appropriate caching\n- Optimize critical paths\n- Monitor in production\n\n### Security\n- Validate all inputs\n- Use parameterized queries\n- Implement proper authentication\n- Keep dependencies updated\n\n### Maintainability\n- Write clear code\n- Use consistent naming\n- Add helpful comments\n- Keep it simple\n\n## Common Commands\n\n```bash\n# Development\nnpm run dev\nnpm run build\nnpm run test\nnpm run lint\n\n# Analysis\npython scripts\u002Fproject_architect.py .\npython scripts\u002Fdependency_analyzer.py --analyze\n\n# Deployment\ndocker build -t app:latest .\ndocker-compose up -d\nkubectl apply -f k8s\u002F\n```\n\n## Troubleshooting\n\n### Common Issues\n\nCheck the comprehensive troubleshooting section in `references\u002Ftech_decision_guide.md`.\n\n### Getting Help\n\n- Review reference documentation\n- Check script output messages\n- Consult tech stack documentation\n- Review error logs\n\n## Resources\n\n- Pattern Reference: `references\u002Farchitecture_patterns.md`\n- Workflow Guide: `references\u002Fsystem_design_workflows.md`\n- Technical Guide: `references\u002Ftech_decision_guide.md`\n- Tool Scripts: `scripts\u002F` directory\n",{"name":5,"description":7},"main","33d99efaac9ea5758fc27120b467eca96ad020d9",".agent\u002Fskills\u002Fsenior-architect","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel","https:\u002F\u002Fgithub.com\u002FEthanSheehan","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fethan-sheehan\u002F","Aerospace Engineering Student at the University of Bristol \u002F\u002F Propulsion Lead at HyPower Bristol","2026-05-22 21:19:23",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add EthanSheehan\u002FGrid-Sentinel --skill senior-architect",{"tool":68,"command":69},"bunx","bunx skills add EthanSheehan\u002FGrid-Sentinel --skill senior-architect",{"tool":71,"command":72},"pnpm","pnpm dlx skills add EthanSheehan\u002FGrid-Sentinel --skill senior-architect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002FSKILL.md",true,[76,82,86,90,96,100],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Farchitecture_patterns.md","REFERENCE","参考文档",1618,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Freferences\u002Farchitecture_patterns.md",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fsystem_design_workflows.md",1620,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Freferences\u002Fsystem_design_workflows.md",{"path":87,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Ftech_decision_guide.md",1616,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Freferences\u002Ftech_decision_guide.md",{"path":91,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Farchitecture_diagram_generator.py","SCRIPT","脚本",3199,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Fscripts\u002Farchitecture_diagram_generator.py",{"path":97,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":98,"sourceHtmlUrl":99},"scripts\u002Fdependency_analyzer.py",3146,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Fscripts\u002Fdependency_analyzer.py",{"path":101,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":102,"sourceHtmlUrl":103},"scripts\u002Fproject_architect.py",3136,"https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fsenior-architect\u002Fscripts\u002Fproject_architect.py",[105,135,168,186,200,225],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":114,"publishedAt":49},"01M6DY3X97YDSKHCCZG9KMASHA","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[111],{"categoryNo":112,"categoryName":113,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134],"zapier make patterns","patterns","workflow","integrations","how to","apps","platform","but","build","complexity","power","simplicity","use","business","automate","how","apache","code","automation","writing",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":147,"publishedAt":49},"01M6DY3SVP128ZZPF2478H9JYZ","Cross-Site Scripting and HTML Injection Testing","This skill should be used when the user asks to \"test for XSS vulnerabilities\", \"perform cross-site scripting attacks\", \"identify HTML injection flaws\", \"exploit client-side injection vulnerabilities\", \"steal cookies via XSS\", or \"bypass content security policies\". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fxss-html-injection\u002FSKILL.md",[141,144],{"categoryNo":142,"categoryName":143,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":145,"categoryName":146,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167],"html injection testing","Cross Site Scripting and HTML Injection Testing","injection","scripting","site","html","testing","exploit","user","applications","xss","cookies","content","web","test","vectors","via","steal","security","vulnerabilities",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":181,"publishedAt":49},"01M6DY3D694G80Y5N79CD1J575","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[174,175,178],{"categoryNo":142,"categoryName":143,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":176,"categoryName":177,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":179,"categoryName":180,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者",[134,182,183,127,184,185],"writing skills","deployment","editing","work",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":194,"publishedAt":49},"01M6DY3A7BM31W5Q2QARW00JHS","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwriting-plans\u002FSKILL.md",[192,193],{"categoryNo":176,"categoryName":177,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":179,"categoryName":180,"taxonomyType":26,"taxonomyTypeDesc":27},[195,134,196,197,198,127,132,199],"writing plans","plans","requirements","task","spec",{"skillNo":201,"name":202,"nameZh":6,"description":203,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":204,"categories":205,"keywords":207,"publishedAt":49},"01M6DY36NSATM95HR7HMVZJYB3","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fworkflow-automation\u002FSKILL.md",[206],{"categoryNo":112,"categoryName":113,"taxonomyType":21,"taxonomyTypeDesc":22},[208,133,117,209,210,211,131,212,213,214,215,216,217,218,219,220,221,222,223,224],"Workflow Automation","Production","flow","network","workflows","accessibility","ai agents","execution","scripts","worker","payment","n8n","money","resume","orchestrator","parallel","inngest",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":229,"categories":230,"keywords":232,"publishedAt":49},"01M6DY32QTGD80MQHJ8TPDH53H","WordPress Penetration Testing","This skill should be used when the user asks to \"pentest WordPress sites\", \"scan WordPress for vulnerabilities\", \"enumerate WordPress users, themes, or plugins\", \"exploit WordPress vulnerabilities\", or \"use WPScan\". It provides comprehensive WordPress security assessment methodologies.","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwordpress-penetration-testing\u002FSKILL.md",[231],{"categoryNo":142,"categoryName":143,"taxonomyType":21,"taxonomyTypeDesc":22},[154,227,233,234,235,236,237,238,155,127,156,239,240,167,166],"penetration testing","wordpress","security assessment","sites","scan","pentest","plugins","assessment"]