argument-chain-construction

argument-chain-construction is a Legal research & case law skill for AI agents, published by THUYRan in the Legal-Skills-Chinese repository on GitHub. Skillspace rates argument-chain-construction F (45/100) and it passed the safety scan; the rating is based on static analysis only.

Trigger this skill when an AI agent needs to organize legal reasoning results into a complete, internally consistent, and persuasive argumentative structure. Typical trigger scenarios include, but are not limited to: - Drafting the argumentative sections of legal documents such as legal opinions, written submissions (代理词), defense briefs (辩护词), and answers/pleadings (答辩状) - Answering complex legal questions from the user that require multi-step reasoning and a presented conclusion - Systematically analyzing disputed issues and constructing a complete reasoning path from facts to law to conclusion - Rebutting an opposing view by constructing an alternative argument chain - Conducting comprehensive analysis of multiple legal issues while ensuring logical consistency and non-contradiction among arguments - Presenting analytical conclusions in a legal research memorandum Trigger-signal keywords: argument, analysis, reasoning, why, prove, grounds/reasons, discourse, articulate a position,…

Grade
F
Quality
45 / 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
58 / 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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