opponent-archetype-classifier

opponent-archetype-classifier is a Statistical modelling skill for AI agents, published by lyndonkl in the claude repository on GitHub. Skillspace rates opponent-archetype-classifier C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Classifies an opposing player, manager, or agent into one of a configurable archetype set using Bayesian inference over observed behavior (roster composition, transaction pattern, lineup moves, trade activity). Domain-neutral scaffold -- callers supply the archetype taxonomy (names, priors, characteristic feature distributions) and observed features; the skill returns a normalized posterior, MAP archetype, classification confidence, feature-contribution breakdown, and best-response hints. Use when modeling opponents, classifying player types, performing Bayesian archetype inference, producing opponent posteriors, or when user mentions opponent archetype, classify opponent, Bayesian archetype inference, player type classification, opponent modeling, or archetype posterior.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

133

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.

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