poolprobe：OpenAI 相容模型池的診斷工具，逐一探測模型……
poolprobe: A doctor for OpenAI-compatible model pools: probes…
poolprobe 逐一探測 OpenAI 相容模型池中的模型，將故障分類為 ALIVE、TRANSIENT、CREDENTIAL 或 PERMANENT；五項獨立檢查必須一致，才會判定模型失效，並且不會移除仍在運作的模型。工具只使用標準程式庫，讀取指定資料，不會將資料傳送到其他地方。檢查規則可能產生誤報，適合用來找出需要重寫的候選內容，不適合用來評分作者或用於重視文風的情境。
Most poolprobe write-ups stop at the README: here is what the tool does, here is how you run it. This one covers what it refuses to do, and where it breaks.
What it is
A doctor for OpenAI-compatible model pools: probes every model, classifies each failure (ALIVE, TRANSIENT, CREDENTIAL, PERMANENT) and refuses to prune anything alive — five independent guards must agree before a death verdict. Stdlib only.
In Russian: Доктор для OpenAI-совместимых пулов моделей: прогоняет каждую модель, классифицирует отказ (ALIVE, TRANSIENT, CREDENTIAL, PERMANENT) и не даёт снести живое — смерть подтверждают пять независимых проверок. Только stdlib.
Install
pip install poolprobe # stdlib engine, generic gateway lane
Python. MIT licensed. Standard library first: the tool reads the data you point it at and sends nothing anywhere.
Where it does not fit
Every rule in a checker like this can produce a false positive. Use it to find candidates for a rewrite, not to grade a writer, and not where the voice is the point.
Repository
Source, issue tracker and documentation: https://gitlab.com/ameobius-ai/poolprobe
Other tools from the same author: https://ameobius-ai.gitlab.io
來源：DEV Community · dev.to