API Security Testing

API Security Testing Workflow

Overview

Specialized workflow for testing REST and GraphQL API security including authentication, authorization, rate limiting, input validation, and API-specific vulnerabilities.

When to Use This Workflow

Use this workflow when:

• Testing REST API security
• Assessing GraphQL endpoints
• Validating API authentication
• Testing API rate limiting
• Bug bounty API testing

Workflow Phases

Phase 1: API Discovery

Skills to Invoke

• api-fuzzing-bug-bounty - API fuzzing
• scanning-tools - API scanning

Actions

1. Enumerate endpoints
2. Document API methods
3. Identify parameters
4. Map data flows
5. Review documentation

Copy-Paste Prompts

Use @api-fuzzing-bug-bounty to discover API endpoints

Phase 2: Authentication Testing

Skills to Invoke

• broken-authentication - Auth testing
• api-security-best-practices - API auth

Actions

1. Test API key validation
2. Test JWT tokens
3. Test OAuth2 flows
4. Test token expiration
5. Test refresh tokens

Copy-Paste Prompts

Use @broken-authentication to test API authentication

Phase 3: Authorization Testing

Skills to Invoke

• idor-testing - IDOR testing

Actions

1. Test object-level authorization
2. Test function-level authorization
3. Test role-based access
4. Test privilege escalation
5. Test multi-tenant isolation

Copy-Paste Prompts

Use @idor-testing to test API authorization

Phase 4: Input Validation

Skills to Invoke

• api-fuzzing-bug-bounty - API fuzzing
• sql-injection-testing - Injection testing

Actions

1. Test parameter validation
2. Test SQL injection
3. Test NoSQL injection
4. Test command injection
5. Test XXE injection

Copy-Paste Prompts

Use @api-fuzzing-bug-bounty to fuzz API parameters

Phase 5: Rate Limiting

Skills to Invoke

• api-security-best-practices - Rate limiting

Actions

1. Test rate limit headers
2. Test brute force protection
3. Test resource exhaustion
4. Test bypass techniques
5. Document limitations

Copy-Paste Prompts

Use @api-security-best-practices to test rate limiting

Phase 6: GraphQL Testing

Skills to Invoke

• api-fuzzing-bug-bounty - GraphQL fuzzing

Actions

1. Test introspection
2. Test query depth
3. Test query complexity
4. Test batch queries
5. Test field suggestions

Copy-Paste Prompts

Use @api-fuzzing-bug-bounty to test GraphQL security

Phase 7: Error Handling

Skills to Invoke

• api-security-best-practices - Error handling

Actions

1. Test error messages
2. Check information disclosure
3. Test stack traces
4. Verify logging
5. Document findings

Copy-Paste Prompts

Use @api-security-best-practices to audit API error handling

API Security Checklist

• Authentication working
• Authorization enforced
• Input validated
• Rate limiting active
• Errors sanitized
• Logging enabled
• CORS configured
• HTTPS enforced

Quality Gates

• All endpoints tested
• Vulnerabilities documented
• Remediation provided
• Report generated

Related Workflow Bundles

• security-audit - Security auditing
• web-security-testing - Web security
• api-development - API development

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Api Security Testing"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags api-security-testing workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.