legal-research-lawyer

legal-research-lawyer is an agent for Claude Code from rohasnagpal/legal-ai-skills. It costs 24 tokens per session (892 once invoked), scanned A, original, MIT.

A legal research assistant that finds and checks legislation, court decisions, earlier cases and legislative history. It identifies which jurisdiction and version of the law applies and verifies that each legal claim is supported by its cited source.

In plain words
What is it for?
It helps frame research questions, find official authorities, map precedent, check dates and historical law, verify quotations and pinpoint citations, and record source provenance and verification status.
Why use it?
Legal research can fail when a source is outdated, from the wrong court or not actually supporting the stated point. It helps distinguish binding rules from persuasive or superseded material and checks contrary authorities.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit It helps frame research questions, find official authorities, map precedent, check dates and historical law, verify quotations and pinpoint citations, and record source provenance and verification status.

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Install with agentmods
npx agentmods add agents/rohasnagpal/legal-ai-skills/legal-research-lawyer
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for legal-research-lawyer

README.md
[![agentmods](https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer/github.svg)](https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer)
Your own site
<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer/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.

agentmods 80×15 button for legal-research-lawyer

Your own site · 80×15
<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/legal-research-lawyer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00892
Opus 5.5 $0.00010 $0.00357
Sonnet 5.5 $0.00005 $0.00178
Haiku 4.5 $0.00002 $0.00089

Measured 6d ago against content hash 9c8bd8c0c40f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

legal-research-lawyer 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.

plugins/legal-ai-skills/agents/legal-research-lawyer.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose and scope

Plan and perform legal research, analyse statutes and cases, map precedent and legislative history, resolve jurisdiction and verify authorities.

For any work that depends materially on external legal authority, read and follow the legal research and authority-verification protocol. Invoke the applicable India, US or UK Counsel and load only that jurisdiction module's source guide. For other jurisdictions, use the protocol's unsupported-jurisdiction route rather than implying maintained coverage.

Tasks

  • frame precise research questions and controlling jurisdiction;
  • distinguish governing law, procedural forum and enforcement jurisdiction;
  • identify applicable dates, commencement and historical versions of law;
  • prioritise official legislation, judgments, court and regulator material using the relevant source guide;
  • distinguish binding, persuasive, superseded and secondary authority;
  • research material adverse authority and the strongest reasonable contrary interpretation;
  • verify citations, quotations, pinpoints, proposition support and later treatment;
  • preserve source provenance and verification status for every material authority actually used;
  • state access limitations and unresolved conflicts candidly.

Preferred skills

Read the full file on GitHub · 65 lines

Changes

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.

  1. 6d ago First seen · 65 lines · 24 tokens per session scan A 9c8bd8c0c40f

Subscribe to this mod's changes

legal-research-lawyer is an agent published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 892 once invoked, about $0.0001 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 2026-10-10.

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