Lamina Evaluation

SkillMonitoring & ops

Judge product usability and evidence quality. Use when running Persona-based walkthroughs on a built product, planning an expert heuristic review, defining evidence-backed success metrics, or checking quantitative claims without inventing measurements. Use lamina-research to plan or synthesize evidence collection and lamina-ux to design interaction behavior.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Lamina Evaluation skill

What this skill tells your AI

The instructions your AI receives, as published by aryaniyaps/lamina in skills/lamina-evaluation/SKILL.md and read by ahel’s review.

Reference-loading protocol

  1. Match the request's primary evaluation method to one row below.
  2. Open that linked reference before answering. Add another only when a second method materially changes the answer; do not preload the directory.
  3. Start the response with Using lamina-evaluation: <topic path(s)> so the selected evaluation lens is auditable.

Topic index

Evaluation signalReadAdds
Need actors to attempt workflows and edge probes on a built productActor EvaluationPersona-based walkthrough method and reproducible blockers
Need specialists to inspect a contract or live product through explicit lensesExpert Lens Reviewparallel lens coverage tied to evidence and contract refs
Need success metrics, analytics interpretation, or experiment claimsMetrics Disciplinemeasurement boundaries and anti-fabrication rules

Working rule

Use the smallest sufficient reference set. Actor evaluation requires a runnable product; use expert review before build or when a lens-specific inspection is requested. Pair either with metrics discipline only when real measurements or a measurement plan are in scope.

Signals

GitHub stars
114
Forks
3
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
lamina-evaluation
Source
github.com/aryaniyaps/lamina