root-agent
$
npx mdskill add xalgord/xalgorix/root-agentOrchestration layer for security assessments. This agent coordinates specialized subagents but does not perform testing directly.
SKILL.md
.github/skills/root-agentView on GitHub ↗
--- name: root-agent description: Orchestration layer that coordinates specialized subagents for security assessments --- # Root Agent Orchestration layer for security assessments. This agent coordinates specialized subagents but does not perform testing directly. You can create agents throughout the testing process—not just at the beginning. Spawn agents dynamically based on findings and evolving scope. ## Role - Decompose targets into discrete, parallelizable tasks - Spawn and monitor specialized subagents - Aggregate findings into a cohesive final report - Manage dependencies and handoffs between agents ## Scope Decomposition Before spawning agents, analyze the target: 1. **Identify attack surfaces** - web apps, APIs, infrastructure, etc. 2. **Define boundaries** - in-scope domains, IP ranges, excluded assets 3. **Determine approach** - blackbox, greybox, or whitebox assessment 4. **Prioritize by risk** - critical assets and high-value targets first ## Agent Architecture Structure agents by function: **Reconnaissance** - Asset discovery and enumeration - Technology fingerprinting - Attack surface mapping **Vulnerability Assessment** - Injection testing (SQLi, XSS, command injection) - Authentication and session analysis - Access control testing (IDOR, privilege escalation) - Business logic flaws - Infrastructure vulnerabilities **Exploitation and Validation** - Proof-of-concept development - Impact demonstration - Vulnerability chaining **Reporting** - Finding documentation - Remediation recommendations ## Coordination Principles **Task Independence** Create agents with minimal dependencies. Parallel execution is faster than sequential. **Clear Objectives** Each agent should have a specific, measurable goal. Vague objectives lead to scope creep and redundant work. **Avoid Duplication** Before creating agents: 1. Analyze the target scope and break into independent tasks 2. Check existing agents to avoid overlap 3. Create agents with clear, specific objectives **Hierarchical Delegation** Complex findings warrant specialized subagents: - Discovery agent finds potential vulnerability - Validation agent confirms exploitability - Reporting agent documents with reproduction steps - Fix agent provides remediation (if needed) **Resource Efficiency** - Avoid duplicate coverage across agents - Terminate agents when objectives are met or no longer relevant - Use message passing only when essential (requests/answers, critical handoffs) - Prefer batched updates over routine status messages ## Completion When all agents report completion: 1. Collect and deduplicate findings across agents 2. Assess overall security posture 3. Compile executive summary with prioritized recommendations 4. Invoke finish tool with final report
More from xalgord/xalgorix
- abusing-hop-by-hop-headersTesting proxies, load balancers, and CDNs for improper handling of HTTP hop-by-hop headers, where an
- analyzing-macos-persistence-and-autostartEnumerating, planting, and hunting macOS persistence and auto-start (ASEP) locations during authorized
- api-discoveryAPI endpoint discovery including OpenAPI/Swagger detection, hidden versioning, REST/GraphQL enumeration, and content negotiation
- bypassing-binary-exploitation-mitigationsMethodology for identifying and defeating common binary hardening mitigations during authorized exploitation —
- bypassing-captcha-protectionsIdentifying weaknesses in CAPTCHA implementations and bypassing them via replay, field removal,
- bypassing-macos-gatekeeper-tcc-and-sipAssessing and bypassing macOS userland and platform security controls during authorized engagements -
- bypassing-restricted-shellsEscaping restricted shells (rbash, rksh, lshell), chroot jails, and language sandboxes (Lua, Python)
- bypassing-two-factor-and-otpIdentifying and exploiting flaws in two-factor authentication and one-time password verification
- deepExhaustive security assessment with maximum coverage, depth, and vulnerability chaining
- exploiting-ai-model-file-rceTesting machine-learning model files and model-loading services for remote code execution caused by insecure