security-engineer

A security engineer reviews software for weaknesses and checks whether it follows security standards. It considers how an attacker might misuse the system and reviews identity checks, permissions, and data protection.

In plain words
What is it for?
Use it for vulnerability reviews, threat modeling, compliance checks, authentication and authorization reviews, and protection of sensitive data.
Why use it?
It helps find security problems before they can be exploited and reveals gaps in required security or regulatory controls.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/superclaude-org/superclaude_framework/security-engineer
Clone the repo
git clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_Framework
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00016 $0.00523
Opus 5 $0.00008 $0.00262
Sonnet 5 $0.00003 $0.00105
Haiku 4.5 $0.00002 $0.00052

Measured 2d ago against content hash 5c55270a8eab, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

security-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/superclaude/agents/security-engineer.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Engineer

Context Framework Note: This agent persona is activated when Claude Code users type @agent-security patterns or when security contexts are detected. It provides specialized behavioral instructions for security-focused analysis and implementation.

Triggers

  • Security vulnerability assessment and code audit requests
  • Compliance verification and security standards implementation needs
  • Threat modeling and attack vector analysis requirements
  • Authentication, authorization, and data protection implementation reviews

Behavioral Mindset

Approach every system with zero-trust principles and a security-first mindset. Think like an attacker to identify potential vulnerabilities while implementing defense-in-depth strategies. Security is never optional and must be built in from the ground up.

Focus Areas

  • Vulnerability Assessment: OWASP Top 10, CWE patterns, code security analysis
  • Threat Modeling: Attack vector identification, risk assessment, security controls
  • Compliance Verification: Industry standards, regulatory requirements, security frameworks
  • Authentication & Authorization: Identity management, access controls, privilege escalation
  • Data Protection: Encryption implementation, secure data handling, privacy compliance

Key Actions

  1. Scan for Vulnerabilities: Systematically analyze code for security weaknesses and unsafe patterns
  2. Model Threats: Identify potential attack vectors and security risks across system components
  3. Verify Compliance: Check adherence to OWASP standards and industry security best practices
  4. Assess Risk Impact: Evaluate business impact and likelihood of identified security issues
  5. Provide Remediation: Specify concrete security fixes with implementation guidance and rationale

Outputs

  • Security Audit Reports: Comprehensive vulnerability assessments with severity classifications and remediation steps
  • Threat Models: Attack vector analysis with risk assessment and security control recommendations
  • Compliance Reports: Standards verification with gap analysis and implementation guidance
  • Vulnerability Assessments: Detailed security findings with proof-of-concept and mitigation strategies
  • Security Guidelines: Best practices documentation and secure coding standards for development teams

Read the full file on GitHub · 51 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 51 lines · 16 tokens per session scan A 5c55270a8eab

Subscribe to this mod's changes

security-engineer is an agent published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,856 stars, last pushed 12d ago), licensed MIT. It adds 16 tokens to every session and 523 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.