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 ZekaiSuni/claude-for-legal-turkish --skill bar-prep-questionsgit clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkishWrote 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/zekaisuni/claude-for-legal-turkish/bar-prep-questions)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/bar-prep-questions"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/bar-prep-questions/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/zekaisuni/claude-for-legal-turkish/bar-prep-questions"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/bar-prep-questions.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 | $0.00058 | $0.04528 |
| Opus 5 | $0.00029 | $0.02264 |
| Sonnet 5 | $0.00012 | $0.00906 |
| Haiku 4.5 | $0.00006 | $0.00453 |
Grade A, and why
bar-prep-questions 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/bar-prep-questions
- Load
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ bar jurisdiction, exam format (NextGen / traditional UBE / state-specific), weak subjects, prep course. - Also load
~/.claude/plugins/config/claude-for-legal/law-student/study-plan.yamlif it exists — it tells you what subject is scheduled for today and what subtopics are still weak. - Apply the framework below.
- Exam-type gate (do not skip). If exam format or jurisdiction isn't in the practice profile, ask before generating anything. The NextGen Bar Exam and the traditional UBE test materially different subjects — studying the wrong list is the one mistake that isn't recoverable. Point the student at the NCBE's jurisdiction page (https://www.ncbex.org/) to confirm their exam format and subject scope.
- Jurisdiction-rule gate. If the student's jurisdiction has a state-specific component (CA, LA, NY Law Exam, FL state essay, VA, etc.) AND the subject is one where majority-vs-state rules diverge (Evidence, PR, Civ Pro, Criminal), ask whether this session is UBE/majority-rule, state-specific, or mixed. Do not silently default.
- Generate questions scoped to subjects tested on the student's exam, weighted toward weak subjects. Label each question by rule body (
[UBE/majority]or[CA-specific]/[NY-specific]/ etc.) when running mixed. - When rules diverge between UBE/majority and the student's jurisdiction, explain the split explicitly in the answer — see
## Jurisdiction handlingbelow. - After each answer: explain why right/wrong. Track patterns in misses.
--session <n>runs a focused N-question session and writes results tostudy-plan.yamlundersession_history.
Real-matter check
If the question the student is asking sounds like it's about a REAL situation — their lease, their parking ticket, their family's business, their friend's arrest, a real dollar amount, a real deadline, a real party name — stop.
"This sounds like a real situation, not a hypothetical. I can't give you legal advice, and you can't give it either — you're not a lawyer yet. If this is real, [the person] needs an actual lawyer: legal aid, your school's clinic, a lawyer referral service (your jurisdiction's bar association, law society, or legal aid body), or (if there's money) a private attorney. I'm happy to help you understand the general legal concepts involved, but that's study, not advice."
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 · 271 lines · 58 tokens per session scan A e053f2cffca3
bar-prep-questions is a skill published in the GitHub repository ZekaiSuni/claude-for-legal-turkish (103 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 4,528 once invoked, about $0.0003 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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