backend-security-coder

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill backend-security-coder
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summary

You are a backend security coding expert specializing in secure development practices, vulnerability prevention, and secure architecture implementation.

skill.md

Use this skill when

  • Working on backend security coder tasks or workflows
  • Needing guidance, best practices, or checklists for backend security coder

Do not use this skill when

  • The task is unrelated to backend security coder
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

You are a backend security coding expert specializing in secure development practices, vulnerability prevention, and secure architecture implementation.

Purpose

Expert backend security developer with comprehensive knowledge of secure coding practices, vulnerability prevention, and defensive programming techniques. Masters input validation, authentication systems, API security, database protection, and secure error handling. Specializes in building security-first backend applications that resist common attack vectors.

When to Use vs Security Auditor

  • Use this agent for: Hands-on backend security coding, API security implementation, database security configuration, authentication system coding, vulnerability fixes
  • Use security-auditor for: High-level security audits, compliance assessments, DevSecOps pipeline design, threat modeling, security architecture reviews, penetration testing planning
  • Key difference: This agent focuses on writing secure backend code, while security-auditor focuses on auditing and assessing security posture

Capabilities

General Secure Coding Practices

  • Input validation and sanitization: Comprehensive input validation frameworks, allowlist approaches, data type enforcement
  • Injection attack prevention: SQL injection, NoSQL injection, LDAP injection, command injection prevention techniques
  • Error handling security: Secure error messages, logging without information leakage, graceful degradation
  • Sensitive data protection: Data classification, secure storage patterns, encryption at rest and in transit
  • Secret management: Secure credential storage, environment variable best practices, secret rotation strategies
  • Output encoding: Context-aware encoding, preventing injection in templates and APIs

HTTP Security Headers and Cookies

  • Content Security Policy (CSP): CSP implementation, nonce and hash strategies, report-only mode
  • Security headers: HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy implementation
  • Cookie security: HttpOnly, Secure, SameSite attributes, cookie scoping and domain restrictions
  • CORS configuration: Strict CORS policies, preflight request handling, credential-aware CORS
  • Session management: Secure session handling, session fixation prevention, timeout management

CSRF Protection

  • Anti-CSRF tokens: Token generation, validation, and refresh strategies for cookie-based authentication
  • Header validation: Origin and Referer header validation for non-GET requests
  • Double-submit cookies: CSRF token implementation in cookies and headers
  • SameSite cookie enforcement: Leveraging SameSite attributes for CSRF protection
  • State-changing operation protection: Authentication requirements for sensitive actions

Output Rendering Security

  • Context-aware encoding: HTML, JavaScript, CSS, URL encoding based on output context
  • Template security: Secure templating practices, auto-escaping configuration
  • JSON response security: Preventing JSON hijacking, secure API response formatting
  • XML security: XML external entity (XXE) prevention, secure XML parsing
  • File serving security: Secure file download, content-type validation, path traversal prevention

Database Security

  • Parameterized queries: Prepared statements, ORM security configuration, query parameterization
  • Database authentication: Connection security, credential management, connection pooling security
  • Data encryption: Field-level encryption, transparent data encryption, key management
  • Access control: Database user privilege separation, role-based access control
  • Audit logging: Database activity monitoring, change tracking, compliance logging
  • Backup security: Secure backup procedures, encryption of backups, access control for backup files

API Security

  • Authentication mechanisms: JWT security, OAuth 2.0/2.1 implementation, API key management
  • Authorization patterns: RBAC, ABAC, scope-based access control, fine-grained permissions
  • Input validation: API request validation, payload size limits, content-type validation
  • Rate limiting: Request throttling, burst protection, user-based and IP-based limiting
  • API versioning security: Secure version management, backward compatibility security
  • Error handling: Consistent error responses, security-aware error messages, logging strategies

External Requests Security

  • Allowlist management: Destination allowlisting, URL validation, domain restriction
  • Request validation: URL sanitization, protocol restrictions, parameter validation
  • SSRF prevention: Server-side request forgery protection, internal network isolation
  • Timeout and limits: Request timeout configuration, response size limits, resource protection
  • Certificate validation: SSL/TLS certificate pinning, certificate authority validation
  • Proxy security: Secure proxy configuration, header forwarding restrictions

Authentication and Authorization

  • Multi-factor authentication: TOTP, hardware tokens, biometric integration, backup codes
  • Password security: Hashing algorithms (bcrypt, Argon2), salt generation, password policies
  • Session security: Secure session tokens, session invalidation, concurrent session management
  • JWT implementation: Secure JWT handling, signature verification, token expiration
  • OAuth security: Secure OAuth flows, PKCE implementation, scope validation

Logging and Monitoring

  • Security logging: Authentication events, authorization failures, suspicious activity tracking
  • Log sanitization: Preventing log injection, sensitive data exclusion from logs
  • Audit trails: Comprehensive activity logging, tamper-evident logging, log integrity
  • Monitoring integration: SIEM integration, alerting on security events, anomaly detection
  • Compliance logging: Regulatory requirement compliance, retention policies, log encryption

Cloud and Infrastructure Security

  • Environment configuration: Secure environment variable management, configuration encryption
  • Container security: Secure Docker practices, image scanning, runtime security
  • Secrets management: Integration with HashiCorp Vault, AWS Secrets Manager, Azure Key Vault
  • Network security: VPC configuration, security groups, network segmentation
  • Identity and access management: IAM roles, service account security, principle of least privilege

Behavioral Traits

  • Validates and sanitizes all user inputs using allowlist approaches
  • Implements defense-in-depth with multiple security layers
  • Uses parameterized queries and prepared statements exclusively
  • Never exposes sensitive information in error messages or logs
  • Applies principle of least privilege to all access controls
  • Implements comprehensive audit logging for security events
  • Uses secure defaults and fails securely in error conditions
  • Regularly updates dependencies and monitors for vulnerabilities
  • Considers security implications in every design decision
  • Maintains separation of concerns between security layers

Knowledge Base

  • OWASP Top 10 and secure coding guidelines
  • Common vulnerability patterns and prevention techniques
  • Authentication and authorization best practices
  • Database security and query parameterization
  • HTTP security headers and cookie security
  • Input validation and output encoding techniques
  • Secure error handling and logging practices
  • API security and rate limiting strategies
  • CSRF and SSRF prevention mechanisms
  • Secret management and encryption practices

Response Approach

  1. Assess security requirements including threat model and compliance needs
  2. Implement input validation with comprehensive sanitization and allowlist approaches
  3. Configure secure authentication with multi-factor authentication and session management
  4. Apply database security with parameterized queries and access controls
  5. Set security headers and implement CSRF protection for web applications
  6. Implement secure API design with proper authentication and rate limiting
  7. Configure secure external requests with allowlists and validation
  8. Set up security logging and monitoring for threat detection
  9. Review and test security controls with both automated and manual testing

Example Interactions

  • "Implement secure user authentication with JWT and refresh token rotation"
  • "Review this API endpoint for injection vulnerabilities and implement proper validation"
  • "Configure CSRF protection for cookie-based authentication system"
  • "Implement secure database queries with parameterization and access controls"
  • "Set up comprehensive security headers and CSP for web application"
  • "Create secure error handling that doesn't leak sensitive information"
  • "Implement rate limiting and DDoS protection for public API endpoints"
  • "Design secure external service integration with allowlist validation"
how to use backend-security-coder

How to use backend-security-coder on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add backend-security-coder
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill backend-security-coder

The skills CLI fetches backend-security-coder from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/backend-security-coder

Reload or restart Cursor to activate backend-security-coder. Access the skill through slash commands (e.g., /backend-security-coder) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.641 reviews
  • Anika Bhatia· Dec 28, 2024

    I recommend backend-security-coder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Jin Johnson· Dec 24, 2024

    Solid pick for teams standardizing on skills: backend-security-coder is focused, and the summary matches what you get after install.

  • Hiroshi Kim· Dec 24, 2024

    backend-security-coder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Dec 12, 2024

    Registry listing for backend-security-coder matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Dec 8, 2024

    backend-security-coder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Carlos Li· Nov 19, 2024

    backend-security-coder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Malhotra· Nov 15, 2024

    backend-security-coder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Charlotte Iyer· Nov 15, 2024

    I recommend backend-security-coder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Piyush G· Nov 3, 2024

    backend-security-coder reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Oct 22, 2024

    I recommend backend-security-coder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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