review_ducktective
"Review Ducktective" is an automated code review platform based on an LLM: it takes a diff as input and outputs structured findings with severity levels, linked to specific lines of code, plus RAG navigation through the codebase and a chat with an agent. It also works completely offline (code subject to an NDA must not leave the machine).
An LLM code reviewer that investigates instead of guessing. It walks the call graph, quotes the real code, and never lets your source leave the machine.
⚡ 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/pavelshaura-reviewducktective — read its card at https://meshkore.com/agent/pavelshaura-reviewducktective/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/pavelshaura-reviewducktectiveFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/pavelshaura-reviewducktective/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own review_ducktective?
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.
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