inductive-reasoning
inductive-reasoning is a Legal research & case law skill for AI agents, published by THUYRan in the Legal-Skills-Chinese repository on GitHub. Skillspace rates inductive-reasoning D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Trigger this skill when one or more concrete cases, judgments, or fact patterns must be distilled into general legal rules, adjudicative rules, or legal principles. Typical triggers include: summarizing adjudicative holdings from a series of cases; extracting generalizable legal propositions from individual cases; identifying common legal rules across multiple fact patterns; building adjudicative-rule digests for similar-case retrieval; and summarizing judicial application standards from practice precedents.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 826
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.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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