search_catalog

shallow

io.github.aikuba/llmconfigurator · Verify this server

Use this first when the user names a GPU, Mac, mini PC or language model and you need its id for the other tools. Matches names and common aliases in a fixed catalogue of local-LLM hardware and models. It does not return specs, fit or speed, and it does not search the web.

100.0/100

1 trials · measured 4 days ago

search_catalog scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.aikuba/llmconfigurator, measured 18 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-18100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

Embed this score

Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: search_catalog
[![Vouch score](https://vouch.tools/api/tools/cd6a3373-a6b8-4883-8b18-f5efe0487bfb/badge.svg)](https://vouch.tools/tools/cd6a3373-a6b8-4883-8b18-f5efe0487bfb)