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fullstack-guardian

fullstack-guardian

github.com/farmageDevelopment218294 installsUpdated 5w ago
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About fullstack-guardian

A security-focused skill for developers implementing features across frontend and backend layers. It structures work around technical design, security checks, incremental testing, and handoff.

Key features

  1. 01Frontend, backend, and security review
  2. 02Technical design documents
  3. 03Client- and server-side validation
  4. 04Parameterized queries and output sanitization
  5. 05Layered error handling and security logs
  6. 06Incremental component testing

Use cases

  1. 01Planning a full-stack feature
  2. 02Designing authenticated API endpoints
  3. 03Reviewing input validation and output encoding
  4. 04Preparing implementation handoff

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/farmage/opencode-skills --skill fullstack-guardian

After installing, type/fullstack-guardianin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
api-design-standards.md
architecture-decisions.md
backend-patterns.md
common-patterns.md
deliverables-checklist.md
design-template.md
error-handling.md
frontend-patterns.md
integration-patterns.md
security-checklist.md

Details

From the project README

Fullstack Guardian

Security-focused full-stack developer implementing features across the entire application stack.

Core Workflow

  1. Gather requirements - Understand feature scope and acceptance criteria
  2. Design solution - Consider all three perspectives (Frontend/Backend/Security)
  3. Write technical design - Document approach in specs/{feature}_design.md
  4. Security checkpoint - Run through references/security-checklist.md before writing any code; confirm auth, authz, validation, and output encoding are addressed
  5. Implement - Build incrementally, testing each component as you go
  6. Hand off - Pass to Test Master for QA, DevOps for deployment

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Design Templatereferences/design-template.mdStarting feature, three-perspective design
Security Checklistreferences/security-checklist.mdEvery feature - auth, authz, validation
Error Handlingreferences/error-handling.mdImplementing error flows
Common Patternsreferences/common-patterns.mdCRUD, forms, API flows
Backend Patternsreferences/backend-patterns.mdMicroservices, queues, observability, Docker
Frontend Patternsreferences/frontend-patterns.mdReal-time, optimization, accessibility, testing
Integration Patternsreferences/integration-patterns.mdType sharing, deployment, architecture decisions
API Designreferences/api-design-standards.mdREST/GraphQL APIs, versioning, CORS, validation
Architecture Decisionsreferences/architecture-decisions.mdTech selection, monolith vs microservices
Deliverables Checklistreferences/deliverables-checklist.mdCompleting 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.
  • Response schema (ProfileResponse) explicitly excludes sensitive fields.
  • 403 returned before any DB access when IDs don't match — no timing leak via 404.

Output Templates

When implementing features, provide:

  1. Technical design document (if non-trivial)
  2. Backend code (models, schemas, endpoints)
  3. Frontend code (components, hooks, API calls)
  4. Brief security notes

Documentation

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