Source-backed agent for reviewing AI workflow submissions before publication with data-flow mapping, privacy metadata, governance evidence, MCP/tool authority checks, retention disclosure, and compliance escalation gates.

Source-backed agent that plans and reviews an enterprise Claude Code rollout, covering server-managed settings, permission deny lists, managed MCP policy, fail-closed startup, hooks for audit, and what users cannot override, grounded in the official docs.

Source-backed specialist agent for reviewing remote MCP authorization boundaries, protected resource metadata, resource indicators, token audience validation, token passthrough risk, and least-privilege scopes.

Source-backed agent that threat-models an MCP server before it is connected to Claude Code, covering trust verification, tool authority and side effects, prompt injection via tool output, network and credential exposure, and least-privilege mitigations, grounded in the official security docs.

Source-backed Claude Code subagent that reviews MCP tool result sizes against output token budgets, flagging tools that exceed the warning and default limits and recommending pagination, filtering, MAX_MCP_OUTPUT_TOKENS tuning, and per-tool size annotations.

Source-backed agent that reduces token cost and latency in Claude Code by improving prompt-cache hit rates, advising on stable context ordering, lean CLAUDE.md, on-demand skills, and MCP tool-search, grounded in the official docs.

Source-backed specialist agent for designing and reviewing production OpenAI Agents SDK workflows, including agents, runners, tools, handoffs, guardrails, sessions, tracing, MCP integrations, sandbox agents, and deployment safety.

MCP Skills integration specialist for remote server configuration, tool permissions, multi-MCP orchestration, and Claude Desktop ecosystem workflows.