rigor-ask

rigor-ask is a Change & PR review skill for AI agents, published by rigortype in the rigor repository on GitHub. Skillspace rates rigor-ask D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Answer any question about Rigor by investigating, not from memory — Rigor is niche and version-specific, so run its tools and read its bundled docs, then answer from what you saw. Use `rigor docs` (handbook + manual, offline and version-matched) and `rigor explain <rule>`; for the user's own code, `rigor check` / `annotate` / `type-of`. Covers: why a line is flagged or whether it's a false positive; the type model (narrowing, refinements, `Dynamic`, RBS); config keys, flags, baselines; comparisons to Sorbet, Steep, mypy, PHPStan; whether Rigor handles Rails, RSpec, or a given gem; how to type a method; "what is Rigor / why use it / is it right for us?". Trigger on any Rigor question seeking understanding — even casual, comparative, or grumbling. Skip only when it's purely "set it up / fix / reduce it for me" (use rigor-next-steps).

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

82

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.