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 study-plangit 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/study-plan)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/study-plan"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/study-plan/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/study-plan"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/study-plan.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 | $0.00072 | $0.03668 |
| Opus 5.5 | $0.00029 | $0.01467 |
| Sonnet 5.5 | $0.00014 | $0.00734 |
| Haiku 4.5 | $0.00007 | $0.00367 |
Grade A, and why
study-plan 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 13d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/study-plan
- Load
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ exam format, exam date, área (2ª fase), weak subjects, target study hours/day, prep course. - Load
~/.claude/plugins/config/claude-for-legal/law-student/study-plan.yamlif it exists. - Apply the framework below.
- Route by flag:
--build(default if no plan exists): walk the inputs gate (exam, subjects, hours/week, days off, methods). Build the phase structure + daily schedule for the first two weeks. Writestudy-plan.yaml.--update(default if plan exists): re-readsession_history, adjust subject priorities and weekly_hours, fill in the next stretch of daily schedule.--status: what's scheduled today / this week, score trend, subjects slipping, next scheduled session per subject.--cram: force cram mode — 80/20 high-yield prioritization, daily volume de questões objetivas (1ª fase), taper last 2-3 days.
- Before writing: summarize the plan in prose and confirm with the student. Adjust based on their answer.
- Always sanity-check hours/week against the student's stated life constraints. Over-ambitious plans fail.
Purpose
Sitting down to study and not knowing what to study is how weeks disappear. This skill builds a plan — weeks to exam, sessions per day, subjects per week, session types — and then adapts as the student actually does the sessions. It is a living plan, not a calendar export.
It also gives downstream skills (bar-prep, flashcards, drill, irac) a shared schedule to honor, so the student isn't asked "what do you want to study today" every time they open a session.
Confidence discipline
A plan is opinion, not doctrine. The skill states clearly what's an estimate:
- Time-per-topic estimates are general guidance (based on typical Barbri/Themis/Kaplan weightings). Flag them as estimates — the student's real pace will differ.
- Subject weightings are derived from the student's own reported weak subjects and session history. Confident.
- High-yield-topic prioritization in cram mode is based on multi-year Exame de Ordem (OAB) patterns (frequência de temas na 1ª fase objetiva / 2ª fase prático-profissional). Flag any "this is definitely on the exam" claim as
[UNCERTAIN — past frequency is not a prediction].
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.
- 13d ago First seen · 253 lines · 72 tokens per session scan A 164c5554a9a5
study-plan is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (89 stars, last pushed 5d ago), licensed Apache-2.0. It adds 72 tokens to every session and 3,668 once invoked, about $0.0003 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 2026-10-04.
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