{"enrichment":{"faq":[{"a":"H Abduct is a skill that runs a structured four-step abductive cycle to generate competing typed hypotheses for an observed signal. It applies plausibility filters and surfaces the prime candidate alongside rivals, making it ideal for systematic hypothesis generation when you need disciplined abduction without parallel overhead.","q":"What is H Abduct?"},{"a":"H Abduct is designed as an internal subroutine for h-diagnose's parallel testing, though manual invocation is supported. When you invoke H Abduct, it executes its four-step abductive cycle on your observed signal, generating at least 3 competing typed hypotheses and filtering them by plausibility before returning results.","q":"How to use H Abduct?"},{"a":"H Abduct generates \u22653 competing typed hypotheses for observed signals through a structured four-step abductive cycle. Its key capabilities include plausibility filtering, ranking hypotheses by likelihood, and surfacing both the prime candidate and rival explanations\u2014enabling systematic diagnostic reasoning.","q":"What are H Abduct's main features and capabilities?"},{"a":"Yes, H Abduct supports manual invocation for cases where you need structured abduction independently. While it's designed as an internal subroutine within h-diagnose's parallel testing framework, you can invoke H Abduct directly when you prefer disciplined hypothesis generation without parallel processing overhead.","q":"Is H Abduct skill available for standalone use?"},{"a":"H Abduct generates typed hypotheses\u2014meaning each hypothesis is categorized by type\u2014for your observed signal. The skill produces at least 3 competing candidates and applies plausibility filters to rank them, ensuring you get both the most likely explanation and credible alternatives for comparison.","q":"What kind of hypotheses does H Abduct generate?"}],"shadow_tags":["utility-tool","agent-skill","m0n0x41d-project","extraction-capability","automation-framework"],"summary_rewrite":"H Abduct runs a structured four-step abductive cycle to generate \u22653 competing typed hypotheses for an observed signal, applying plausibility filters and surfacing the prime candidate alongside rivals. It's designed as an internal subroutine for h-diagnose's parallel testing, though manual invocation is supported when disciplined abduction without parallel overhead is needed."},"id":"m0n0x41d/haft/h-abduct","install":{"mode":"external","repo":"https://github.com/m0n0x41d/haft"},"links":{"html":"https://skillfed.io/m0n0x41d/haft/h-abduct","md":"https://skillfed.io/m0n0x41d/haft/h-abduct.md","repo":"https://github.com/m0n0x41d/haft"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":102,"language":"Go","last_updated":"2026-07-27","license":"NOASSERTION","name":"H Abduct","publisher":"m0n0x41d","stars":1375},"relations":{"categories":["agent-skills"],"similar":[{"id":"m0n0x41d/haft/h-diagnose"},{"id":"m0n0x41d/haft/h-reason"},{"id":"m0n0x41d/haft/h-explore"},{"id":"m0n0x41d/haft/h-frame"},{"id":"m0n0x41d/haft/h-semio-review"},{"id":"m0n0x41d/haft/h-compare"},{"id":"m0n0x41d/haft/h-boundary-unpack"},{"id":"NeoLabHQ/context-engineering-kit/status"},{"id":"CodeAlive-AI/ai-driven-development/fpf-problem-solving"},{"id":"m0n0x41d/haft/h-onboard"}]},"slug":{"owner":"m0n0x41d","repo":"haft","skill":"h-abduct"},"version":"6dc39cb6"}