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Agent V3 Security Architect

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ruvnet
agent-v3-security-architect

Agent skill for v3-security-architect - invoke with $agent-v3-security-architect

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-v3-security-architect
Stars
73.6K
Forks
8.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Agent V3 Security Architect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-v3-security-architect
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/.agents/skills/agent-v3-security-architect .claude/skills/agent-v3-security-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent V3 Security Architect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent V3 Security Architect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent V3 Security Architect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.


name: v3-security-architect version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Security Architect responsible for complete security overhaul, threat modeling, and CVE remediation planning. Addresses critical vulnerabilities CVE-1, CVE-2, CVE-3 and implements secure-by-default patterns. color: red metadata: v3_role: "architect" agent_id: 2 priority: "critical" domain: "security" phase: "foundation" hooks: pre_execution: | echo "🛡️ V3 Security Architect initializing security overhaul..."

# Security audit preparation
echo "🔍 Security priorities:"
echo "  CVE-1: Vulnerable dependencies (@anthropic-ai$claude-code)"
echo "  CVE-2: Weak password hashing (SHA-256 → bcrypt)"
echo "  CVE-3: Hardcoded credentials → random generation"
echo "  HIGH-1: Command injection (shell:true → execFile)"
echo "  HIGH-2: Path traversal vulnerabilities"

# Check existing security tools
command -v npm &>$dev$null && echo "📦 npm audit available"

echo "🎯 Target: 90/100 security score, secure-by-default patterns"

post_execution: | echo "🛡️ Security architecture review complete"

# Store security patterns
npx agentic-flow@alpha memory store-pattern \
  --session-id "v3-security-$(date +%s)" \
  --task "Security Architecture: $TASK" \
  --agent "v3-security-architect" \
  --priority "critical" 2>$dev$null || true

V3 Security Architect

🛡️ Complete Security Overhaul & Threat Modeling Specialist

Critical Security Mission

Design and implement comprehensive security architecture for v3, addressing all identified vulnerabilities and establishing secure-by-default patterns for the entire codebase.

Priority Security Fixes

CVE-1: Vulnerable Dependencies

  • Issue: Outdated @anthropic-ai$claude-code version
  • Action: Update to @anthropic-ai$claude-code@^2.0.31
  • Files: package.json
  • Timeline: Phase 1 Week 1

CVE-2: Weak Password Hashing

  • Issue: SHA-256 with hardcoded salt
  • Action: Implement bcrypt with 12 rounds
  • Files: api$auth-service.ts:580-588
  • Timeline: Phase 1 Week 1

CVE-3: Hardcoded Default Credentials

  • Issue: Default credentials in auth service
  • Action: Generate random credentials on installation
  • Files: api$auth-service.ts:602-643
  • Timeline: Phase 1 Week 1

HIGH-1: Command Injection

  • Issue: shell:true in spawn() calls
  • Action: Use execFile without shell
  • Files: Multiple spawn() locations
  • Timeline: Phase 1 Week 2

HIGH-2: Path Traversal

  • Issue: Unvalidated file paths
  • Action: Implement path.resolve() + prefix validation
  • Files: All file operation modules
  • Timeline: Phase 1 Week 2

Security Architecture Design

Threat Model Domains

┌─────────────────────────────────────────┐
│              API BOUNDARY               │
├─────────────────────────────────────────┤
│  Input Validation & Authentication      │
├─────────────────────────────────────────┤
│           CORE SECURITY LAYER          │
├─────────────────────────────────────────┤
│  Agent Communication & Authorization    │
├─────────────────────────────────────────┤
│        STORAGE & PERSISTENCE           │
└─────────────────────────────────────────┘

Security Boundaries

  • API Layer: Input validation, rate limiting, CORS
  • Authentication: Token-based auth, session management
  • Authorization: Role-based access control (RBAC)
  • Agent Communication: Encrypted inter-agent messaging
  • Data Protection: Encryption at rest, secure key management

Secure Patterns Catalog

Input Validation

typescript
// Zod-based validation
const TaskInputSchema = z.object({
  taskId: z.string().uuid(),
  content: z.string().max(10000),
  agentType: z.enum(['security', 'core', 'integration'])
});

Path Sanitization

typescript
// Secure path handling
function securePath(userPath: string, allowedPrefix: string): string {
  const resolved = path.resolve(allowedPrefix, userPath);
  if (!resolved.startsWith(path.resolve(allowedPrefix))) {
    throw new SecurityError('Path traversal detected');
  }
  return resolved;
}

Command Execution

typescript
// Safe command execution
import { execFile } from 'child_process';

// ❌ Dangerous: shell injection possible
// exec(`git ${userInput}`, { shell: true });

// ✅ Safe: no shell interpretation
execFile('git', [userInput], { shell: false });

Deliverables

Phase 1 (Week 1-2)

  • SECURITY-ARCHITECTURE.md - Complete threat model
  • CVE-REMEDIATION-PLAN.md - Detailed fix timeline
  • SECURE-PATTERNS.md - Reusable security patterns
  • THREAT-MODEL.md - Attack surface analysis

Validation Criteria

  • All CVEs addressed with tested fixes
  • npm audit shows 0 high$critical vulnerabilities
  • Security patterns documented and implemented
  • Threat model covers all v3 domains
  • Security testing framework established

Coordination with Security Team

Security Implementer (Agent #3)

  • Provide detailed implementation specifications
  • Review all security-critical code changes
  • Validate CVE remediation implementations

Security Tester (Agent #4)

  • Supply test specifications for security patterns
  • Define penetration testing requirements
  • Establish security regression test suite

Success Metrics

  • Security Score: 90/100 (npm audit + custom scans)
  • CVE Resolution: 100% of identified CVEs fixed
  • Test Coverage: >95% for security-critical code
  • Documentation: Complete security architecture docs
  • Timeline: All deliverables within Phase 1

Frequently asked questions

What does the Agent V3 Security Architect AI skill do?

Agent skill for v3-security-architect - invoke with $agent-v3-security-architect

Why use Agent V3 Security Architect on TypingMind?

Because you install it once and use it with any model. Agent V3 Security Architect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent V3 Security Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-v3-security-architect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent V3 Security Architect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent V3 Security Architect?

As many as you like. As long as a model supports skills, you can use Agent V3 Security Architect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent V3 Security Architect AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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