quint-modeling

quint-modeling is a System design & architecture decisions skill for AI agents, published by quint-co in the quint repository on GitHub. Skillspace rates quint-modeling D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Build a Quint model of a system, protocol, or algorithm. Use this whenever the user wants to model, spec out, formally describe, model-check, or verify a system in Quint — e.g. "model this protocol in Quint", "spec out this design", "translate this TLA+", "formally check this Rust code" — even if they never say the word "specification." When the goal is to verify or model-check a design or implementation and no Quint model exists yet, writing the model is the required first step, so start here. It generates the spec from whatever the user has — an idea developed interactively, natural-language or functional requirements, source code (Rust, Go, TypeScript, etc.), or an existing TLA+ specification — and walks the modelling flow (state, actions, invariants), adapting to the source type. Also use this to **review or audit an existing Quint spec** — "review my .qnt", "audit this spec before I ship it", "is this model any good" — it carries the structural + runtime review checklist. Do NOT…

Grade

D

Quality

62 / 100

Safety

Passed

GitHub stars

1,539

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.