codebase-learning-friction

shallow

io.github.lorenestinfinite-maker/tool-factory · Verify this server

Learning a codebase generates disproportionate frustration relative to the time spent on it, per the 2025 SO Developer Survey -- largely attributed to inadequate documentation. (reference price: $0.0100 per call)

100.0/100

1 trials · measured 8 days ago

codebase-learning-friction scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.lorenestinfinite-maker/tool-factory, measured 25 Aug 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
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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.

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Vouch score: codebase-learning-friction
[![Vouch score](https://vouch.tools/api/tools/96f18748-7258-4b7a-b88d-a2f2e4966a3f/badge.svg)](https://vouch.tools/tools/96f18748-7258-4b7a-b88d-a2f2e4966a3f)
codebase-learning-friction — Vouch