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 rampgit 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/ramp)<a href="https://agentmods.dev/skills/anthropics/claude-for-legal/ramp"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/ramp/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/ramp"><img src="https://agentmods.dev/badge/skills/anthropics/claude-for-legal/ramp.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 | $0.00073 | $0.01799 |
| Opus 5.5 | $0.00029 | $0.00720 |
| Sonnet 5.5 | $0.00015 | $0.00360 |
| Haiku 4.5 | $0.00007 | $0.00180 |
Grade B, and why
ramp scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Don't lecture — check understanding. "So if a client comes in with an eviction notice but also mentions they're undocumented, what do you do?" (Answer: both issues get noted in intake; the immigration question may need a Copies of this mod
1 near-identical copy found in the catalogue:
- ramp — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ramp
- Check
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.mdis set up. If placeholders: "Ask [professor] to run/legal-clinic:cold-start-interviewfirst." - Use the walkthrough below.
- Walk through: clinic context (from handbook) → commands → practice exercises (fake intake, practice draft, research roadmap) → verification habits.
--card: generate the one-page reference card.
/legal-clinic:ramp
/legal-clinic:ramp --card
Ramp: Semester Onboarding
Purpose
Every semester, the clinic loses its entire workforce and rebuilds from scratch. New students need to learn procedures, case management, filing conventions, and practice-area basics before they're useful. Traditionally that takes weeks of reading PDFs and asking the professor the same questions every semester.
This skill is the guided walkthrough. It reads what the professor uploaded during cold-start — the handbook, the filing guides, the local rules — and teaches it interactively, with practice exercises so students try the tools in a low-stakes setting before a real client is on the line.
Audience: students. Professors don't run this (they run /cold-start-interview).
Load context
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → clinic profile, practice areas, jurisdiction, handbook path, supervision style, practice-area templates.
If that file is missing or still has placeholders: "The clinic hasn't been set up yet. Ask [supervising professor] to run /cold-start-interview first."
The walkthrough
Opening
Welcome to [clinic name]. I'm going to walk you through how this clinic works and how to use these tools — about twenty minutes, and you can pause anytime. By the end you'll have run a practice intake, drafted a practice document, and you'll know what to do when you get your first real case.
One thing up front: everything I generate is a starting point, not a final answer. You do the analysis. [Professor] reviews your work [per supervision style]. I handle the formatting and the first draft so you spend your time on the lawyering, not on writing "Dear Judge" for the twentieth time.
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 · 137 lines · 73 tokens per session scan B 2d303fc38def
ramp is a skill published in the GitHub repository anthropics/claude-for-legal (9,706 stars, last pushed 3d ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,799 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.
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