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法律溯因推理（Abductive Reasoning）技能，用于在证据不完整、事实模糊时生成并评估最合理的解释性假设。结合米尔五法（求同、求异、求同求异、剩余、共变）进行结构化因果推断。当用户需要"提出可能的法律解释"、"生成辩护/起诉假设"、"评估证据的多种解读"或"基于不完整事实推断最佳解释"时触发。适用于案例分析、证据评估、规则适用争议、因果关系推断等场景。
法律溯因推理 is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. **核心功能：** - 在**证据不完整**时填补解释缺口 - 在**事实模糊**时构建合理的事实版本 - 在**规则不明确**时推测隐含条件 - 生成**可废止的假设**（defeasible hypotheses） # 法律溯因推理技能 (Legal Abductive Reasoning) ## 1. 核心概念：. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding 法律溯因推理 to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install sunyifeisb-art/legalworkReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
**核心功能：** - 在**证据不完整**时填补解释缺口 - 在**事实模糊**时构建合理的事实版本 - 在**规则不明确**时推测隐含条件 - 生成**可废止的假设**（defeasible hypotheses） # 法律溯因推理技能 (Legal Abductive Reasoning) ## 1. 核心概念：什么是溯因推理？ **溯因推理（Abdu