Builds and maintains configuration-based evaluations on a workflow with the eval-config tool. Use when the user asks to set up, add, view, change, or remove an evaluation, score, grade, or judge a workflow's output, or measure answer quality against a test dataset. This is the only eval form Instance AI handles — it does not touch on-canvas evaluation nodes.
Config based Evaluations Use this skill to attach a configuration based evaluation to a workflow with the tool. A config eval pairs a workflow with a name, a start node, an end node, one or more judged metrics, and a Data Table dataset. Nothing is added to the canvas — the config lives off canvas via the evaluation config API. Config evals are the only evaluation form you work with. Do not add, read, rewire, or reason about on canvas evaluation nodes (EvaluationTrigger,…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/config-evals · pinned to the source commit
git clone https://github.com/n8n-io/n8n.git
cd n8n
git checkout b4d91bfe8a293106815b308a841e210562002735
mkdir -p ".claude/skills/config-evals"
cp -r "packages/@n8n/instance-ai/skills/config-evals" ".claude/skills/config-evals"Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
Scanner static-checks@0.1.0 · commit b4d91bfe8a29. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Uses encoding/eval patterns that can hide executable content.
Evidence: [redacted]· fingerprint 1bbd174404efbce9