Agent skill

jurisrank

Argentine Supreme Court citation network analysis using JurisRank — a peer-reviewed PageRank algorithm with temporal decay for measuring jurisprudential authority. Ranks precedents by citation influence, traces doctrinal evolution, and detects constitutional drift. Published methodology: JCLLT (DOI: 10.47852/bonviewJCLLT62027951). Activate with: which cases to cite, rank precedents, case authority, doctrinal evolution, Argentine Supreme Court, CSJN jurisprudence, citation network, leading case, legal research Argentina.

lawve-aigithub.com/lawve-aiGitHub ↗
claude-codecan modify filesNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill argentine-supreme-court-analysis-adrian-lerer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 2026-05-13
Declared author: Adrián Lerer
Allowed tools: ReadWriteWebFetchBash
Path: skills/argentine-supreme-court-analysis-adrian-lerer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 618
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# JurisRank — Argentine Jurisprudential Authority Analysis ## What JurisRank Is JurisRank is a computational tool for measuring the authority of Argentine court decisions through citation network analysis. Its methodology is **peer-reviewed** and published in the Journal of Computational Law and Legal Technology: > Lerer, I.A. (2026). "Computational Detection of Constitutional Drift: > Network Analysis and Semantic Measurement of Argentine Supreme Court > Jurisprudence (1922–2025)." *Journal of Computational Law and Legal > Technology.* DOI: [10.47852/bonviewJCLLT62027951](https://doi.org/10.47852/bonviewJCLLT62027951) **Academic validation:** κ = 0.83 inter-coder reliability · k-fold cross- validation (k=5) · 73.2% mean accuracy · Monte Carlo simulations (n=1,000). **License:** Creative Commons Attribution 4.0 International (CC BY 4.0) --- ## Three Algorithms | Algorithm | Purpose | |-----------|---------| | **JurisRank** | PageRank + temporal decay — recent citations weighted higher | | **RootFinder** | Ancestral Borrowing Analysis Network — traces doctrinal genealogy | | **Legal-Memespace** | Principal Component Analysis — maps multidimensional doctrine | --- ## Coverage - Argen

What's inside
Steps it walks through
  1. What JurisRank Is
  2. Three Algorithms
  3. Coverage
  4. Authority Score Interpretation
  5. Use Cases
  6. 1. Selecting case law for briefs and memos
  7. 2. Doctrinal evolution analysis
  8. 3. Adversarial jurisprudential due diligence
  9. 4. Constitutional drift detection
  10. Workflow
  11. Anti-Hallucination Rules
  12. Output Format
  13. About the Author
Ships with 1 file
  • README.md
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About this skill
What does the jurisrank skill do?

Argentine Supreme Court citation network analysis using JurisRank — a peer-reviewed PageRank algorithm with temporal decay for measuring jurisprudential authority. Ranks precedents by citation influence, traces doctrinal evolution, and detects constitutional drift. Published methodology: JCLLT (DOI: 10.47852/bonviewJCLLT62027951). Activate with: which cases to cite, rank precedents, case authority, doctrinal evolution, Argentine Supreme Court, CSJN jurisprudence, citation network, leading case, legal research Argentina.

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill argentine-supreme-court-analysis-adrian-lerer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going