Agent Workspace Practice

io.github.jimy-r由 GitHub 帳號 jimy-r 發布v1.2.0更新於 Oct 24, 2026

Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.

已驗證Streamable HTTP可網頁執行知識與記憶開發者工具安全與監控

概覽

AI 產生的概覽

一個遠端 MCP 伺服器,讓助理可搜尋代理架構模式、評估工作區成熟度、估算上下文成本並檢查敏感資訊。

可以做什麼
搜尋已發布的架構語料,回傳含標題、來源、片段與全文連結的排序章節,涵蓋模式、評估方法、學習模組及他人代理系統的拆解。依關鍵字或編號查詢 18 個架構模式之一,取得其問題陳述與設計理由。以實務或組織問卷,從六個面向為代理工作區評分。依上下文進入工作階段的位置以美元估算成本,含攜帶的 token 量與比較。掃描文字中的電子郵件、家目錄路徑、憑證前綴、私有 IP 與祕密檔名等私密內容樣態,僅回傳計數。提交找不到的能力需求。
適用情境
適合在設計或檢視代理工作區時參考架構模式、取得結構化成熟度評分,或快速估算某段上下文在整個工作階段的成本。也適合在文字發布到公開場合前先做一次檢查。
執行需求
遠端 streamable HTTP 端點;未宣告任何套件、帳號、API 金鑰或環境變數。需要能連線至提供者主機的網路。
安裝前請注意
check_redaction 會把提交的文字送到遠端伺服器,即使只回傳計數,也應視為文字已離開本機。request_capability 會記錄提交內容供人工審閱,請勿包含機密或個人資料。成本估算依伺服器所述模型,僅供參考。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agent Workspace Practice,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。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.jimy-r%2Fagent-workspace-practice/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "agent-workspace-practice": {
      "type": "http",
      "url": "https://jamesross.ai/mcp"
    }
  }
}

工具

6

search_architecture

Search the published agent-workspace writing

Full-text search across the published architecture corpus: the 18 patterns and how they compose, the evaluation method, the seven learn-track modules, and the teardowns of other people's published agent systems. Returns ranked sections, each with its title, its source file, a snippet, and a link to the full text on GitHub. Use it when you want the passage itself rather than a pattern summary; lookup_pattern is the narrower tool that answers "which pattern covers this?". Every section is also readable in full as a resource under the architecture:// scheme (resources/list, resources/read).

輸入參數limitquery必填

lookup_pattern

Look up an agent-workspace pattern

Search the 18 architecture patterns behind this practice by keyword or by pattern number. Returns up to 3 matches, each with its number, title, the problem it opens on, and a link to the full text. Use it when you want the reasoning behind an agent-workspace design decision rather than a how-to.

輸入參數query必填

assess_workspace

Score an agent workspace or an organisation

Score an agent workspace across six dimensions: canonical knowledge, memory and context economics, verification and oversight, safety and permissions, telemetry and cost, provenance and delegation. Two variants: "practitioner" takes 18 answers (a single operator's workspace), "org" takes 12 (an organisation's agent readiness). Each answer is an integer 0-3 in question order, where 0 is the least mature option offered and 3 the most. Returns per-dimension scores, an overall percentage, a maturity band, and the two weakest dimensions with the gap that matters there. The question text lives at https://jamesross.ai/tools/maturity-check (practitioner) and https://jamesross.ai/tools/agent-readiness (org). Read it before answering on someone's behalf.

輸入參數answers必填variant必填

price_context_read

Price a block of context by its position

Price a block of context by where it enters a session. The API is stateless, so the whole transcript is re-sent on every inference step, and a token costs its size times the number of turns left after it arrives. Returns the carried token volume, the cost of the block in USD, what the same read would have cost entering 20 turns from the end, and the multiplier between the two. Use it to decide whether a large read should move later in a session or into a subagent.

輸入參數read_multentry_turn必填write_multsize_tokens必填total_turns必填price_in_per_mtok

check_redaction

Pre-flight text for the shapes of private content

Scan text for the shapes of private content before it goes anywhere public: email addresses, absolute home paths, credential and token prefixes, private and link-local IPs, .local hostnames, and secret filenames. Returns a count per pattern class and a total, nothing else. The text you send and the substrings that matched are never stored, never logged and never echoed back. Only the counts are kept. A line carrying the marker "redaction-ok" is skipped. Accepts up to 100KB.

輸入參數text必填

request_capability

Request a capability this server does not have

Tell this server what capability you needed but didn't find here. Requests are logged and reviewed by a human; include no secrets or personal data.

輸入參數contextdescription必填

版本歷史

1
  1. v1.2.0最新Sep 16, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。