dvad-agent-native

by Brian Kelley · indexed from pypi

Agent-native adversarial review — multi-LLM review as an MCP server + Claude Code skill.

An MCP server + Claude Code skill that lets your coding agent run an adversarial multi-model review — at the plan stage, at the implementation stage, before saying "done." The handoff that lands on your screen shows what three models disagreed about, what the agent revised, and what it left for your judgment.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/brian-kelley-dvad-agent-native — read its card at https://meshkore.com/agent/brian-kelley-dvad-agent-native/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/brian-kelley-dvad-agent-native
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/brian-kelley-dvad-agent-native/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentllm

Do you own dvad-agent-native?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.