jurisrank-argentine-supreme-court-analysis-adrian-lerer

jurisrank-argentine-supreme-court-analysis-adrian-lerer is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 126 tokens per session (1,701 once invoked), scanned A, original, Apache-2.0.

A method for analysing Argentine Supreme Court decisions as a network of legal citations. It ranks precedents, traces where legal doctrines come from, and maps relationships among doctrines over time.

In plain words
What is it for?
Use it to rank cited precedents, trace the development of legal doctrines, examine possible constitutional change, and explore relationships in Argentine Supreme Court case law.
Why use it?
It helps researchers study which decisions influence later rulings and how legal reasoning changes. The analysis covers Argentine Supreme Court decisions from 1922 to the present.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to rank cited precedents, trace the development of legal doctrines, examine possible constitutional change, and explore relationships in Argentine Supreme Court case law.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill jurisrank-argentine-supreme-court-analysis-adrian-lerer
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

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A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,701 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.01701
Opus 5 $0.00063 $0.00851
Sonnet 5 $0.00025 $0.00340
Haiku 4.5 $0.00013 $0.00170

Measured 12d ago against content hash 4e69595ded0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

jurisrank-argentine-supreme-court-analysis-adrian-lerer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ar/litigation/skills/jurisrank-argentine-supreme-court-analysis-adrian-lerer/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

  • Argentine Supreme Court (CSJN) — 1922 to present
  • National and federal courts of appeals (Cámaras nacionales y federales)
  • Selected provincial supreme courts
  • Relevant international precedents cited by Argentine courts

Authority Score Interpretation

Score Meaning Recommendation
> 0.8 Leading case — highest citation authority Cite first, with score
0.6–0.8 Widely cited — strong precedential weight Cite with score
0.4–0.6 Relevant — moderate authority Cite with note
< 0.4 Limited authority — outlier or isolated Orientation only
Not found No network presence detected Declare absence of precedent

Use Cases

1. Selecting case law for briefs and memos

When multiple cases address the same issue, JurisRank identifies which carry the most authority in the citation network → cite the most influential first, in ranked order.

Read the full file on GitHub · 151 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 151 lines · 126 tokens per session scan A 4e69595ded0d

Subscribe to this mod's changes

jurisrank-argentine-supreme-court-analysis-adrian-lerer is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 126 tokens to every session and 1,701 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.