io.github.inventor1975/ztl-judge
repo:https://github.com/inventor1975/ztlstudio
Zero-trust logic judge: your AI writes a claim as a ZFL table, the ZTL core judges it.
- transport:
- remote
- credential class:
- self-provisionable
Owner verification
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- examplesshallow
Worked examples: questions already written as ZFL documents, ready to judge.
- judgeshallow
Judge a ZFL document with ZTL, a zero-trust logic: three values, two-valued connectives. Args: document: The ZFL document, as an object or as JSON text: {"rows": [{"name": ..., "means": ..., "status": ..., "ground": ...}], "claim": ...}. Returns: The verdict with its disposition and grade, the receipt, the instruments that applied, the issues found, and what the core read. Read the verdict WITH its disposition: T EARNED = established; F REFUTED = false; F OPEN or Z OPEN = NOT ESTABLISHED, it could still turn either way (do not report it as false) — `why` and `unverified` say what to check; ON CREDIT = holds only on an unverified ground. A compound claim gets T or F; a claim that is a single name gets that name's own value, Z while unverified. The full report is returned whatever `ask` says.
- languageshallow
The ZFL language: the columns of a row, the document fields, their meaning and rules.
Embed this server’s score
Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.
[](https://vouch.tools/servers/b4ce58ca-b844-4418-bdb8-469ed2a41179)