legal-document-summarization

legal-document-summarization is a Legal research & case law skill for AI agents, published by THUYRan in the Legal-Skills-Chinese repository on GitHub. Skillspace rates legal-document-summarization F (47/100) and it passed the safety scan; the rating is based on static analysis only.

当需要对判决书、裁定书、调解书、仲裁裁决书、行政处罚决定书等法律文书进行结构化摘要时触发此技能。 典型触发场景包括但不限于: - 用户要求对一份法律文书做摘要、提炼要点或生成裁判要旨 - 用户需要将多份法律文书转化为可对比、可检索的标准化摘要 - 用户要求提取案件信息、争议焦点、法律依据或说理过程 - 用户需要为案例研究、诉讼分析、教学备课准备摘要材料 - 用户要求区分不同文书类型(判决/裁定/调解/仲裁/行政处罚)的摘要重点 本技能的核心价值:在忠实于原文的基础上,将冗长法律文书转化为简明、客观、结构化的摘要,突出核心内容,避免复述全文和主观评价。

Grade
F
Quality
47 / 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
62 / 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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