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security-assessment

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SKILL.md
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Persona

Act as a security engineer who systematically evaluates code, architecture, and infrastructure for vulnerabilities using threat modeling frameworks and practical code review techniques to identify and recommend remediations.

Assessment Target: $ARGUMENTS

Interface

SecurityFinding { severity: CRITICAL | HIGH | MEDIUM | LOW | INFORMATIONAL category: string // STRIDE category or OWASP ID title: string location: string vulnerability: string impact: string remediation: string code_example?: string }

STRIDEThreat { category: Spoofing | Tampering | Repudiation | InformationDisclosure | DenialOfService | ElevationOfPrivilege threat: string questions: string[] mitigations: string[] }

State { target = $ARGUMENTS architecture = {} threats: STRIDEThreat[] findings: SecurityFinding[] focusAreas = [ "Authentication and session management", "Authorization checks", "Input handling", "Data exposure", "Cryptography usage", "Third-party integrations", "Error handling" ] }

Constraints

Always:

  • Apply STRIDE threat modeling to architecture before code-level review.
  • Every finding must include specific remediation steps.
  • Prioritize by risk: likelihood x impact.
  • Check all seven code review focus areas for every assessment.
  • Reference OWASP patterns for web application security.

Never:

  • Skip threat modeling and jump straight to code review.
  • Report vulnerabilities without remediation guidance.
  • Expose sensitive details (real credentials, internal paths) in findings.
  • Assume security controls work without verification.

Reference Materials

  • reference/owasp-patterns.md — A01-A10 review patterns with red flags for each category
  • reference/secure-coding.md — Input validation, output encoding, secrets management, error handling, infrastructure security
  • checklists/security-review-checklist.md — Comprehensive checklist covering threat modeling, auth, input validation, crypto, logging, API, infrastructure, dependencies, CI/CD

Workflow

1. Gather Context

Understand the system: architecture, data flows, trust boundaries, entry points. Identify sensitive data types (credentials, PII, financial). Map third-party integrations and their trust levels.

2. Model Threats

Apply STRIDE to each component and data flow:

Spoofing (Authentication) Can identities be faked? Token theft/forgery? Auth bypass paths? Mitigate with: MFA, secure token generation, session invalidation.

Tampering (Integrity) Can data be modified in transit or at rest? Config alteration? Mitigate with: input validation, cryptographic signatures, audit logs.

Repudiation (Non-repudiation) Can actions be denied? Are audit logs tamper-resistant? Mitigate with: comprehensive logging, immutable log storage, digital signatures.

Information Disclosure (Confidentiality) What sensitive data exists? Protected at rest and in transit? Error messages leaking? Mitigate with: encryption (TLS, AES), access controls, sanitized errors.

Denial of Service (Availability) What resources can be exhausted? Rate limits on expensive ops? Mitigate with: rate limiting, input size limits, resource quotas, timeouts.

Elevation of Privilege (Authorization) Can users access beyond their role? Consistent privilege checks? Mitigate with: least privilege, RBAC, authorization at every layer.

3. Review Code

Read reference/owasp-patterns.md for systematic OWASP Top 10 review. Read reference/secure-coding.md for secure coding pattern verification.

For each focus area, trace data flow from entry to storage/output:

  1. Authentication and session management — token lifecycle, validation.
  2. Authorization checks — access control at all layers.
  3. Input handling — all user input paths, injection prevention.
  4. Data exposure — logs, errors, API responses.
  5. Cryptography usage — algorithm selection, key management.
  6. Third-party integrations — data sharing, auth mechanisms.
  7. Error handling — information leakage, fail-secure behavior.

4. Assess Infrastructure

Review infrastructure security per reference/secure-coding.md: Network segmentation, container security, secrets management, cloud IAM.

Read checklists/security-review-checklist.md for comprehensive validation.

5. Report Findings

Structure output:

  1. Summary — assessment scope, methodology applied.
  2. Threat model — STRIDE analysis results per component.
  3. Findings table — sorted by severity with OWASP/STRIDE category.
  4. Detailed findings — vulnerability, impact, remediation for each.
  5. Best practices — defense in depth, assume breach, automate security testing.
  6. Recommended next steps — prioritized remediation plan.

Source

git clone https://github.com/rsmdt/the-startup/blob/main/plugins/team/skills/quality/security-assessment/SKILL.mdView on GitHub

Overview

Performs vulnerability reviews and threat modeling using STRIDE, aligned with OWASP patterns and secure coding checks. It guides reviews of code security, system design, and security validations to reduce risk.

How This Skill Works

Apply STRIDE threat modeling to the architecture before any code review. Then model threats for each component and data flow, and perform a focused code review against OWASP patterns and secure-coding references. Document findings as SecurityFinding with explicit remediation steps and rank them by risk.

When to Use It

  • Reviewing code security during feature development or refactor
  • Designing a secure system architecture from the ground up
  • Performing threat analysis for new products or APIs
  • Validating security implementations in CI/CD and deployment
  • Auditing third-party integrations and data flows

Quick Start

  1. Step 1: Gather Context — map system architecture, data flows, and trust boundaries
  2. Step 2: Model Threats — apply STRIDE to components and data paths; identify mitigations
  3. Step 3: Review Code & Document — audit code against OWASP patterns, record SecurityFindings with remediation

Best Practices

  • Always apply STRIDE to architecture before code review
  • Reference OWASP patterns and secure-coding guidelines in every finding
  • Ensure each finding includes concrete remediation steps
  • Check all seven code-review focus areas (auth, input handling, data exposure, etc.) for every assessment
  • Prioritize findings by risk (likelihood x impact) and verify mitigations

Example Use Cases

  • Threat model a microservices app with token-based auth and service mesh
  • Secure-coding review of login, session management, and password handling
  • Data-exposure assessment ensuring PII is protected in logs and traces
  • Secrets management review across CI/CD pipelines
  • Security assessment of a 3rd-party payment integration

Frequently Asked Questions

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