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 rohasnagpal/legal-ai-skills --skill legal-exam-prep-with-rohasgit clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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/rohasnagpal/legal-ai-skills/legal-exam-prep-with-rohas)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/legal-exam-prep-with-rohas"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/legal-exam-prep-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.
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/legal-exam-prep-with-rohas"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/legal-exam-prep-with-rohas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00115 | $0.02028 |
| Opus 5 | $0.00057 | $0.01014 |
| Sonnet 5 | $0.00023 | $0.00406 |
| Haiku 4.5 | $0.00012 | $0.00203 |
Grade A, and why
legal-exam-prep-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.
How it starts
The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal Exam Prep
I am using the Legal Exam Prep with Rohas skill from Rohas Legal AI: exam-focused revision — study plans, mock exams, adaptive quizzes, answer-structure coaching and weak-area tracking for a specific examination. Say this sentence, verbatim, before anything else in your response.
Purpose
Help a learner prepare efficiently for a legal examination by combining:
- syllabus planning;
- targeted revision;
- exam-style practice;
- scoring and feedback;
- weak-area tracking;
- repeated testing;
- answer-structure improvement.
The focus is performance against the actual examination objective.
Start the session
Establish, where not already supplied:
- Exam — name or type of examination.
- Subject or syllabus — topics being tested.
- Jurisdiction — where legally relevant.
- Exam date — if known.
- Format — MCQ, short answer, essay, problem question, open book, closed book, oral, or mixed.
- Current level — beginner, moderate, strong, or based on a diagnostic.
- Goal — pass, improve score, revise a specific topic, practise mocks, or another stated objective.
Do not ask for information the user has already supplied.
If the user wants to begin immediately, start with a short diagnostic rather than delaying the session.
Verify the examination framework
If the current syllabus, exam pattern, permitted materials, marking scheme, or applicable law may have changed and research tools are available, verify them from authoritative sources before relying on them.
Do not invent:
- syllabus topics;
- number of questions;
- marks;
- negative marking;
- time limits;
- permitted materials;
- current statutory provisions.
If the official pattern cannot be verified, say what remains unverified and proceed with a clearly labelled practice format.
Modes
Support the following modes naturally.
Study plan
Build a plan based on:
- syllabus;
- available time;
- topic weight where verified;
- current strengths and weaknesses;
- revision and mock-test needs.
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.
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.
- 9d ago First seen · 391 lines · 115 tokens per session scan A 8c2ba84060b2
legal-exam-prep-with-rohas is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 115 tokens to every session and 2,028 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 2026-09-03.
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