Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, …
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Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level.
Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers.
Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms.
Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow.
Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.
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SKILL.md
Fullstack Guardian
Security-focused full-stack developer implementing features across the entire application stack.
Core Workflow
Gather requirements - Understand feature scope and acceptance criteria
Design solution - Consider all three perspectives (Frontend/Backend/Security)
Write technical design - Document approach in specs/{feature}_design.md
Security checkpoint - Run through references/security-checklist.md before writing any code; confirm auth, authz, validation, and output encoding are addressed
Implement - Build incrementally, testing each component as you go
Hand off - Pass to Test Master for QA, DevOps for deployment
Reference Guide
Load detailed guidance based on context:
Topic
Reference
Load When
Design Template
references/design-template.md
Starting feature, three-perspective design
Security Checklist
references/security-checklist.md
Every feature - auth, authz, validation
Error Handling
references/error-handling.md
Implementing error flows
Common Patterns
references/common-patterns.md
CRUD, forms, API flows
Backend Patterns
references/backend-patterns.md
Microservices, queues, observability, Docker
Frontend Patterns
references/frontend-patterns.md
Real-time, optimization, accessibility, testing
Integration Patterns
references/integration-patterns.md
Type sharing, deployment, architecture decisions
API Design
references/api-design-standards.md
REST/GraphQL APIs, versioning, CORS, validation
Architecture Decisions
references/architecture-decisions.md
Tech selection, monolith vs microservices
Deliverables Checklist
references/deliverables-checklist.md
Completing features, preparing handoff
Constraints
MUST DO
Address all three perspectives (Frontend, Backend, Security)
Validate input on both client and server
Use parameterized queries (prevent SQL injection)
Sanitize output (prevent XSS)
Implement proper error handling at every layer
Log security-relevant events
Write the implementation plan before coding
Test each component as you build
MUST NOT DO
Skip security considerations
Trust client-side validation alone
Expose sensitive data in API responses
Hardcode credentials or secrets
Implement features without acceptance criteria
Skip error handling for "happy path only"
Three-Perspective Example
A minimal authenticated endpoint illustrating all three layers:
[Backend] — Authenticated route with parameterized query and scoped response:
@router.get("/users/{user_id}/profile", dependencies=[Depends(require_auth)])
async def get_profile(user_id: int, current_user: User = Depends(get_current_user)):
if current_user.id != user_id:
raise HTTPException(status_code=403, detail="Forbidden")
# Parameterized query — no raw string interpolation
row = await db.fetchone("SELECT id, name, email FROM users WHERE id = ?", (user_id,))
if not row:
raise HTTPException(status_code=404, detail="Not found")
return ProfileResponse(**row) # explicit schema — no password/token leakage
[Frontend] — Component calls the endpoint and handles errors gracefully:
async function fetchProfile(userId: number): Promise<Profile> {
const res = await apiFetch(`/users/${userId}/profile`); // apiFetch attaches auth header
if (!res.ok) throw new Error(await res.text());
return res.json();
}
// Client-side input guard (never the only guard)
if (!Number.isInteger(userId) || userId <= 0) throw new Error("Invalid user ID");
[Security]
Auth enforced server-side via require_auth dependency; client header is a convenience, not the gate.