github-ai-pr-reviewer
Custom OpenAI-powered GitHub PR reviewer that posts inline review comments and suggestions.
GitHub Actions 日志会显示类似 OpenAI stream waiting... 300s, ... output chars 的进度，避免长时间看起来卡住。注意：PR Review 评论仍会等模型完整 JSON 返回后一次性发布，GitHub 不支持把一条 review 边生成边逐 token 写入。
⚡ 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/github-ai-pr-reviewer — read its card at https://meshkore.com/agent/github-ai-pr-reviewer/.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/github-ai-pr-reviewerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/github-ai-pr-reviewer/.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 github-ai-pr-reviewer?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.