Agentfit

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 7, 2026

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

概覽

AI 產生的概覽

透過 AgentReady 免費預覽評估網站對 AI 代理的整備程度,回傳 0-100 分數、A-F 等級與分類分數。

可以做什麼
  • 稽核網站:送出一個網址,取回 AgentReady 免費預覽結果,包含 0-100 分數、A-F 等級,以及涵蓋代理存取、內容可讀性、探索機制與代理介面的分類分數。
  • 上游回傳的內容原樣轉出,本機不做任何計算、裁切、改名或摘要。
  • 發生錯誤時以純文字錯誤呈現,例如網址無效、私有或無法解析,或觸發限流時回傳 HTTP 狀態,逾時則顯示服務無法連線。
適用情境
適合需要快速、唯讀地了解某個網站為 AI 代理準備得如何的情境,例如檢查自己擁有的網站或比較幾個候選網站。它只是單一用途的預覽工具,並非完整稽核。
執行需求
以本機程序方式執行,可透過 npx(需 Node.js)或已發布的 Docker 映像啟動;不需要帳號、API 金鑰或驗證標頭。需要能連線至 AgentReady API 的網路;可用 AGENTREADY_API_URL 覆寫基礎位址,並以 AGENTREADY_TIMEOUT_MS 調整單次請求逾時(預設 30000 毫秒)。
安裝前請注意
送出的網址會傳給第三方服務 AgentReady 評分,請避免使用私有或內部位址。免費預覽在上游依 IP 限制為每分鐘 10 次請求。此版本完全省略付費 x402 路由與錢包私鑰模式,也不讀取任何付款或錢包相關變數。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agentfit,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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

來源: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.

輸入參數url必填

版本歷史

1
  1. v0.1.0最新Nov 4, 2026

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