Generate and test hypotheses from observations in an interactive REPL.
npx skills add https://github.com/plurigrid/asi --skill abductive-repl
Please help me install this Agent Skill. Skill: abductive-repl Source: https://github.com/plurigrid/asi/tree/main/skills/abductive-repl Command: npx skills add https://github.com/plurigrid/asi --skill abductive-repl
Hypothesis testing loops via an interactive REPL to support exploratory abductive inference.
Open the abductive REPL, input an observation, generate hypotheses, and iteratively test/refine them.
High-intent search queries and answers about installing and using this skill.
Abductive inference generates plausible hypotheses from observed outcomes within a REPL environment. Input your observation, and the Skill produces candidate hypotheses that explain the data, enabling iterative refinement through guided commands and forward simulation.
Yes, forward simulation predicts observations from hypotheses to verify accuracy. After generating hypotheses, simulate forward to check predictions against actual outcomes, then refine based on mismatches in a roundtrip validation loop.
Abductive inference integrates Gay.jl, HyJAX, and Babashka pipelines for multi-language support. This enables deterministic roundtrip testing and command-based abductive search across color-based exploratory tasks and invader-color matching workflows.
Hypothesis refinement operates through interactive REPL commands that accept feedback from roundtrip tests. Each cycle generates new candidate hypotheses, simulates outcomes, validates against observations, and produces refined models for exploratory abductive analysis.
Yes, the Skill is designed for color-based exploratory tasks and invader-color matching workflows. It satisfies functional requirements for REPL-driven hypothesis loops and deterministic validation, making it suitable for observation-based inference problems in these domains.
Roundtrip testing verifies that hypotheses generate observations matching your original data. This validation step ensures abductive accuracy by confirming hypotheses explain the observed outcomes, preventing spurious or incomplete explanations from advancing.
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