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.
npx skills add ThomasMoreAI/legal-skills-open --skill jurisrank-argentine-supreme-court-analysis-adrian-lerergit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote this? Show the measurements
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.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/jurisrank-argentine-supreme-court-analysis-adrian-lerer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00126 | $0.01698 |
| Opus 5.5 | $0.00050 | $0.00679 |
| Sonnet 5.5 | $0.00025 | $0.00340 |
| Haiku 4.5 | $0.00013 | $0.00170 |
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 14d 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.
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.
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.
- 14d ago Changed 53f605ef657f
- 1mo ago First seen · 151 lines · 126 tokens per session scan A 4e69595ded0d
jurisrank-argentine-supreme-court-analysis-adrian-lerer is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 14d ago), licensed Apache-2.0. It adds 126 tokens to every session and 1,698 once invoked, about $0.0005 per session on Opus 5.5. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…