analogical-reasoning

analogical-reasoning is a Structured reasoning & decision frameworks skill for AI agents, published by THUYRan in the Legal-Skills-Chinese repository on GitHub. Skillspace rates analogical-reasoning F (49/100) and it passed the safety scan; the rating is based on static analysis only.

Trigger this skill when the AI agent must handle any of the following situations: 1. The current case/issue has no direct, clear rule in positive law (a legal gap / lacuna); 2. Existing precedents, similar cases, or closely related legal norms must be used to derive a solution for the present issue; 3. The user expressly asks to "refer to," "apply by analogy," or "analogically apply" (参照 / 比照 / 类推适用) a particular norm or case; 4. Legal argumentation must rest on the principle that "like cases should be treated alike" (相似案件相似处理); 5. Similarity and difference between two or more cases/norms must be assessed to decide whether analogy is warranted; 6. In contexts such as contract interpretation, determination of tort liability, or discretionary administrative penalties, experience from similar situations must be used to build the argument. The core of this skill is: identify the basis of similarity (tertium comparationis), justify the analogy, and on that basis reach a reasoned legal…

Grade

F

Quality

49 / 100

Safety

Passed

GitHub stars

826

Unproven: rated by static analysis only, not yet compared head-to-head.

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