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.
git 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/plugins/anthropics/claude-for-legal/commercial-legal)<a href="https://agentmods.dev/plugins/anthropics/claude-for-legal/commercial-legal"><img src="https://agentmods.dev/badge/plugins/anthropics/claude-for-legal/commercial-legal/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/plugins/anthropics/claude-for-legal/commercial-legal"><img src="https://agentmods.dev/badge/plugins/anthropics/claude-for-legal/commercial-legal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
commercial-legal 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- commercial-legal — 100% identical, 1 lines differ
- commercial-legal — 88% identical, 4 lines differ
What it actually says
{
"name": "commercial-legal",
"version": "1.0.2",
"description": "Reviews vendor agreements, NDAs, and SaaS subscriptions against your sales-side or purchasing-side playbook, tracks renewals and cancel-by deadlines before they're missed, routes escalations to the right approver, and translates reviews into summaries business stakeholders will actually read.",
"author": {
"name": "Anthropic"
}
}
What it installs
The manifest is a name and a version. 9 skills, 3 agents travel with it, and installing the plugin installs all of them — 988 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill vendor-agreement-review A 84 tokens
- Skill nda-review A 61 tokens
- Skill saas-msa-review A 65 tokens
- Skill amendment-history A 84 tokens
- Skill renewal-tracker A 78 tokens
- Skill stakeholder-summary A 91 tokens
- Skill escalation-flagger A 95 tokens
- Skill review A 94 tokens
- Skill review-proposals A 71 tokens
- Agent deal-debrief A 71 tokens
- Agent playbook-monitor A 113 tokens
- Agent renewal-watcher A 81 tokens
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 · 9 lines scan A 4bfd4a51d175
commercial-legal is a plugin published in the GitHub repository anthropics/claude-for-legal (9,433 stars, last pushed 21d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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