Claude for Legal is a collection of AI agents, skills, and data connectors for legal work such as commercial, privacy, employment, litigation, regulatory, and intellectual-property matters. Lawyers and legal teams use it through Claude Cowork, Claude Code, or the Claude Managed Agents API, with attorney review required for every output. The catalogue entries are its workflow plugins, skills, agents, and connectors.
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 anthropics/claude-for-legal --skill study-plangit clone --depth 1 https://github.com/anthropics/claude-for-legalWrote 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/anthropics/claude-for-legal/study-plan)<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/study-plan"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/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/anthropics/claude-for-legal/study-plan"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/study-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00072 | $0.03419 |
| Opus 5.5 | $0.00029 | $0.01368 |
| Sonnet 5 | $0.00014 | $0.00684 |
| Haiku 4.5 | $0.00007 | $0.00342 |
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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- study-plan — 94% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 249 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→ bar jurisdiction, exam format, bar date, 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 MBE volume, 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 commercial prep-course 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 bar exam release patterns (MBE/MEE subject frequency). 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.
- 6d ago First seen · 249 lines · 72 tokens per session scan A 820ff83c1a1d
study-plan is a skill published in the GitHub repository anthropics/claude-for-legal (9,544 stars, last pushed 4d ago), licensed Apache-2.0. It adds 72 tokens to every session and 3,419 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 2026-09-23.
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