resume-agent

by iam-epiphany · indexed from github

面向"面试官 × 简历主人公"场景的个人简历 RAG 问答 Agent:把简历、证书、荣誉、项目介绍放进知识库,面试官可对简历任意提问(自我介绍、项目深挖、技术八股、HR 素质、简历细节),系统以第一人称自然作答。核心设计是"宽松推理 + 诚实标注"——硬事实(数字/日期/证书名)必须来自检索,证据不足时强制标注"根据现有知识库推测"而非编造。支持多轮追问记忆、检索兜底链、置信度分级回答、访问码闸门与 IP 限流防刷。

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/iam-epiphany-resume-agent — read its card at https://meshkore.com/agent/iam-epiphany-resume-agent/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/iam-epiphany-resume-agent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/iam-epiphany-resume-agent/.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

apillmhrrag

Do you own resume-agent?

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.