Agentfit

io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 7, 2026

Is your website ready for AI agents? Free preview: 0-100 score, A-F grade and category scores.

概览

AI 生成的概览

通过 AgentReady 免费预览评估网站对 AI 智能体的就绪程度,返回 0-100 分数、A-F 等级和分类得分。

可以做什么
  • 审计网站:提交一个网址,取回 AgentReady 免费预览结果,包括 0-100 分数、A-F 等级,以及涵盖智能体访问、内容可读性、发现机制和智能体接口的分类得分。
  • 上游返回的响应体原样透传,本地不做任何计算、裁剪、改名或摘要。
  • 出错时以纯文本错误呈现,例如无效、私有或无法解析的网址以及触发限流时返回 HTTP 状态,超时则提示服务不可达。
适用场景
适合需要快速、只读地了解某个网站为 AI 智能体准备得如何的场景,例如检查自己拥有的站点或比较几个候选站点。它只是单一用途的预览工具,并非完整审计。
运行要求
以本地进程方式运行,可通过 npx(需 Node.js)或已发布的 Docker 镜像启动;无需账号、API 密钥或认证头。需要能访问 AgentReady API 的网络;可用 AGENTREADY_API_URL 覆盖基础地址,用 AGENTREADY_TIMEOUT_MS 调整单次请求超时(默认 30000 毫秒)。
安装前请注意
提交的网址会发送给第三方服务 AgentReady 评分,请避免使用私有或内部地址。免费预览在上游按 IP 限制为每分钟 10 次请求。此版本完全省略了付费 x402 路由和钱包私钥模式,也不读取任何支付或钱包相关变量。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Agentfit,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

agentfit

Is your website ready for AI agents? agentfit asks the AgentReady service for its free preview of a site: a 0-100 score, an A-F grade and category scores covering things like agent access, readable content, discovery and agent interfaces. The score is the upstream's — nothing is computed, trimmed, renamed or summarised locally; the response body comes back exactly as the service returned it.

Free tier only — the paid surface is omitted

AgentReady also offers x402-paid routes (/v1/lite at $0.005 and /v1/audit at $0.03, paid in USDC), and its original stdio server pays for the full audit per call when a wallet private key is supplied through AGENTREADY_X402_PRIVATE_KEY. This rebuild implements none of that. It calls only the documented free route, GET /v1/preview?url=, which is the original server's own default behaviour without the key. The paid routes and the wallet-key mode are omitted entirely: this build holds no payment instrument, never reads AGENTREADY_X402_PRIVATE_KEY or any other wallet or payment environment variable, and never sends an Authorization header.

The free preview is limited upstream to 10 requests per minute per IP; a 429 (like any other non-2xx reply) surfaces as agentready error: HTTP 429.

Configuration

Two environment variables control the client (both are this rebuild's own, labelled):

  • AGENTREADY_API_URL (optional) — API base URL. Defaults to https://api.youraitools.co/agentready; a trailing slash is stripped.
  • AGENTREADY_TIMEOUT_MS (optional) — per-request timeout in milliseconds, enforced with an AbortController. Defaults to 30000.

Tools

  • audit_website — is this website ready for AI agents? Returns the free preview: a 0-100 score, an A-F grade and category scores. Takes one required argument, url (the documented REST parameter; the MCP-layer argument name is a labelled reconstruction, because the hosted MCP endpoint did not answer during spec capture).

An upstream non-2xx reply fails with agentready error: HTTP <status> — that is how the upstream's 400 (bad, private or internal URL), 422 (unresolvable host) and 429 (preview rate limit) answers surface. An unreachable service, including a timeout, fails with agentready unreachable.

CLI

The tool is a subcommand taking one JSON argument string:

bash
npx @reneturcios/agentfit audit_website '{"url":"https://example.com"}'npx @reneturcios/agentfit --version

Output is the tool's result text (the upstream body on success). Exit codes: 0 on success, 1 on a runtime error, 2 on a usage error.

MCP server

bash
npx -y @reneturcios/agentfit mcp

MCP client config:

json
{  "mcpServers": {    "agentfit": {      "command": "npx",      "args": ["-y", "@reneturcios/agentfit", "mcp"]    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/agentfitdocker run --rm ghcr.io/cloudcorprecords/agentfit audit_website '{"url":"https://example.com"}'

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # tsx --test test/*.test.ts (fake fetch only, no network)npm run dev     # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

来源:README.md,提交 ba2c93c

工具

1

audit_website

Is this website ready for AI agents? Returns the free preview: a 0-100 score, an A-F grade and category scores.

输入参数url必填

版本历史

1
  1. v0.1.0最新Nov 4, 2026

评分

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