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 flashcardsgit 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/flashcards)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/flashcards"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/flashcards/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/flashcards"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/flashcards.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 | $0.00060 | $0.02167 |
| Opus 5.5 | $0.00024 | $0.00867 |
| Sonnet 5.5 | $0.00012 | $0.00433 |
| Haiku 4.5 | $0.00006 | $0.00217 |
Grade A, and why
flashcards 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 24d 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.
This is a copy
94% identical to flashcards — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/flashcards
- Load
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ current classes, weak subjects, outline locations. - Apply the framework below.
- Route by flag:
--generate: build cards from source (outline path, notes, casebook) per card-writing rules. Write to~/.claude/plugins/config/claude-for-legal/law-student/flashcards/[subject]/cards.md.--drill(default): prioritize due cards + new; show Q, wait for answer, show A, take self-assessment, update buckets + next review.--review: browse deck by bucket.--stats: progress snapshot; flag stuck cards for verbal drill.--session <n>: focused N-card session, prioritized by prior misses + due cards; appends results tostudy-plan.yaml→session_history.
- Apply confidence discipline: flag every card generated from knowledge-without-source with
[VERIFY].
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."
Watch for: real names, real addresses, real dates, specific dollar amounts, "my landlord/boss/parent/friend," "I got a ticket/letter/notice," deadlines measured in days. Any one of these is a trigger.
Purpose
Outlines are for synthesis; flashcards are for memorization. The Exame de Ordem (OAB) and most law school exams reward fast rule recall. This skill generates cards from your outline (or notes or casebook excerpts), drills them with light spacing, and tracks what's stuck and what hasn't.
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.
- 24d ago First seen · 163 lines · 60 tokens per session scan A 3bf5796b9e13
flashcards is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 60 tokens to every session and 2,167 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to flashcards, differing in 22 lines, and is treated as a copy.
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