Agent Skills › advaitpaliwal/feynman › managed-model-endpoints

managed-model-endpoints

GitHub

用于注册和管理模型端点，支持本地或远程服务配置、健康检查、凭证管理及推理路由，确保端点可用并符合安全规范。

skills/managed-model-endpoints/SKILL.md advaitpaliwal/feynman

Trigger Scenarios

需要配置模型服务的输入输出和认证方式执行端点健康检查和推理冒烟测试管理端点的启动、停止及生命周期

Install

npx skills add advaitpaliwal/feynman --skill managed-model-endpoints -g -y

More Options

Use without installing

npx skills use advaitpaliwal/feynman@managed-model-endpoints

指定 Agent (Claude Code)

npx skills add advaitpaliwal/feynman --skill managed-model-endpoints -a claude-code -g -y

安装 repo 全部 skill

npx skills add advaitpaliwal/feynman --all -g -y

预览 repo 内 skill

npx skills add advaitpaliwal/feynman --list

SKILL.md

Frontmatter

{
    "name": "managed-model-endpoints",
    "description": "Register or audit Feynman-managed model endpoints. Use when a research workflow needs a local or remote model service, endpoint health checks, credential refs, startup scripts, or inference routing."
}

Managed Model Endpoints

Use this skill to make a model endpoint usable from Feynman.

Workflow:

Define the endpoint purpose, model family, input/output schema, auth method, hardware need, and expected latency.
Record whether the endpoint is local, remote HTTP, Modal-backed, SSH-backed, or a custom connector.
Add only non-secret endpoint metadata to settings. Store secret references as environment variable names or credential refs.
Implement start/stop/health/inference checks when Feynman owns the endpoint lifecycle.
Run a tiny inference smoke and save request/response shape without leaking secrets.

Expose endpoints as research infrastructure, not as permanent claims that a model is installed when health has not passed.