
LEEVAR reliability battery
io.github.forevercrab321-svg由 GitHub 帳號 forevercrab321-svg 發布v0.1.0更新於 Oct 24, 2026
Grade an AI agent's transcripts on 18 reliability tests. Thin evidence is NOT TESTED, not guessed.
概覽
LEEVAR 可靠性測試組以 18 項可靠性測試為 AI 代理的對話紀錄評分,並回傳附覆蓋度說明的報告。
- 可以做什麼
- 把 1–8 段真實對話樣本送到託管的測試服務,取得掃描編號;每個電子郵件每月免費 5 次掃描,不需帳號。讀取掃描的狀態、評級(僅在核發評級時)、覆蓋度與書面報告。列出 18 項測試,說明每項檢查什麼、能抓到什麼失敗,方便挑選能涵蓋這些測試的樣本。樣本無法佐證的面向會回傳 NOT TESTED,18 項中佐證不足 13 項時不會核發評級。
- 適用情境
- 適合想從外部檢視客服機器人或其他 AI 代理在真實對話中的表現,並在採信字母評級前先了解樣本實際涵蓋哪些可靠性行為時使用。
- 執行需求
- 以本機 stdio 程序在使用者電腦上執行,需要 Node 18 或更新版本。套件從 v0.1.0 發行版安裝,尚未上架 npm 儲存庫。需要連網存取 LEEVAR 的託管服務,每次掃描會用掉該電子郵件每月 5 次的免費額度。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 LEEVAR reliability battery,將其新增到工作區。
- 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
leevar-mcp
The LEEVAR reliability battery as an MCP server. Ask Claude, Cursor or any MCP client to grade an AI agent's conversations on 18 reliability tests, without leaving the editor.
It does not grade anything itself and it never fills a gap with a guess. A
dimension your samples cannot evidence comes back NOT TESTED, and below 13 of
18 evidenced tests no grade is issued at all — the tool says so instead of
printing a letter.
Tools
Install
Node 18 or later. The package is installed straight from the v0.1.0 release; it is not on the npm registry yet.
Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):
Claude Code:
From source instead: clone this repository, run npm install in
packages/mcp, and point your client at node <clone>/packages/mcp/index.mjs.
Then ask, for example: "List the LEEVAR battery, pick three of my support bot's conversations that cover it, and scan them."
Your data
Samples go to LEEVAR's hosted service, are graded there by third-party language models (named on the privacy page), and are deleted 30 days after the scan completes. Each scan uses one of the email's 5 free monthly scans. Strip API keys, credentials and personal data before sending. The tool descriptions tell the assistant to ask you before it sends anything.
To grade entirely on your own machine with a model you choose, use the scanner
in the root of this repository instead (deno task scan) — nothing leaves your
machine except the calls to your own model provider.
Reading a result
- Grade issued —
Grade: B (composite 81.2)with the coverage it was computed on. Gate on coverage as well as the letter. - No grade — the samples did not evidence enough of the battery. Send longer, real conversations that exercise the missing behaviours: a long thread for context, a repeated task for consistency, a tool failure for recovery. A reference average may be shown; it is not a verdict.
- Failed — the reason, whose fault it was, and whether a retry makes sense. If the fault is LEEVAR's, the free scan is credited back.
Develop
LEEVAR_API_URL overrides the endpoint (the tests use it to point at a local
stub).
MIT.
來源:packages/mcp/README.md,提交 af11f33
工具
0版本歷史
1- v0.1.0最新Sep 28, 2026
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