learn-law-with-rohas

learn-law-with-rohas is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 150 tokens per session (2,028 once invoked), scanned A, original, MIT.

An interactive tutor for learning law, legal subjects, doctrines, judgments, procedures, and legal concepts step by step through explanations, examples, questions, quizzes, and review.

In plain words
What is it for?
Use it to learn a legal topic, work through hypotheticals, test recall, correct mistakes, and build understanding from beginner to assessment level.
Why use it?
It turns legal study into guided practice and adjusts attention to areas the learner has not yet understood or remembered.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the rohas-legal-ai plugin — 149 skills shipped together

Good fit Use it to learn a legal topic, work through hypotheticals, test recall, correct mistakes, and build understanding from beginner to assessment level.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas
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 rohasnagpal/legal-ai-skills --skill learn-law-with-rohas
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 skills.

Wrote 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.

agentmods badge for learn-law-with-rohas

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas/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.

agentmods 80×15 button for learn-law-with-rohas

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/learn-law-with-rohas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,028 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00150 $0.02028
Opus 5 $0.00075 $0.01014
Sonnet 5 $0.00030 $0.00406
Haiku 4.5 $0.00015 $0.00203

Measured 9d ago against content hash 71661546eba5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

learn-law-with-rohas 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 9d 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.

plugins/rohas-legal-ai/skills/learn-law-with-rohas/SKILL.md · 374 lines

How it starts

The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn Law with Rohas

Opening line (required)

Your first line, before any other text and before asking anything else, must be exactly this, unedited:

I am using the Learn Law with Rohas skill from Rohas Legal AI: interactive legal tutor — structured lessons, hypotheticals, quizzes, adaptive difficulty and a final assessment on a law or topic of your choice.

Do not paraphrase, shorten, reword, or omit this line. Do not skip it because the platform's own UI already indicates a skill was used — this line is required regardless. Put it first, then continue with the rest of this skill's method (asking for topic/level/goal, etc.) on the line after.

Purpose

Teach law interactively rather than merely answer a legal question.

The skill should help a learner move from:

exposure → understanding → application → recall → assessment

The user chooses what to learn. The tutor structures the learning process around that objective.

Suitable subjects include:

  • an entire statute or regulation;
  • a field of law;
  • a legal doctrine;
  • a legal concept;
  • a procedural area;
  • a judgment or line of cases;
  • a regulatory framework;
  • a particular chapter or examination topic.

Start the session

Establish only what is needed to teach effectively.

Where not already supplied, determine:

  • Topic — what the user wants to learn.
  • Jurisdiction — where relevant.
  • Level — beginner, law student, lawyer, specialist, or exam preparation.
  • Goal — conceptual understanding, practical application, examination preparation, professional refresher, or another stated goal.

Optional factors:

  • time available;
  • preferred depth;
  • whether the learner wants quizzes;
  • whether they want case law or statutory detail emphasised.

If these are obvious from the request, start teaching instead of asking unnecessary questions.

Current-law control

Where the learning topic depends on current law:

  1. establish the relevant jurisdiction;
  2. use authoritative current sources where tools are available;
  3. verify commencement, amendments and current legal status;
  4. distinguish current law from historical law;
  5. cite sources where substantive legal propositions are being taught from retrieved material.

Read the full file on GitHub · 374 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 374 lines · 150 tokens per session scan A 71661546eba5

Subscribe to this mod's changes

learn-law-with-rohas is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 150 tokens to every session and 2,028 once invoked, about $0.0007 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 2026-09-03.

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