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/zhou210712/claude-for-legal-ZHWrote 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/zhou210712/claude-for-legal-zh/law-student)<a href="https://agentmods.dev/plugins/zhou210712/claude-for-legal-zh/law-student"><img src="https://agentmods.dev/badge/plugins/zhou210712/claude-for-legal-zh/law-student/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/zhou210712/claude-for-legal-zh/law-student"><img src="https://agentmods.dev/badge/plugins/zhou210712/claude-for-legal-zh/law-student.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
law-student 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 8d 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.
What it actually says
{
"name": "law-student",
"version": "1.0.2",
"description": "互动式案例教学训练、案例摘要（case brief）、知识体系搭建（outline builder）、法考备考（客观题+主观题）、IRAC 写作评估、学习计划制定 — 始终引导思考，不替答不代写。适配中国法学教育与国家统一法律职业资格考试。",
"author": {
"name": "陈石 律师"
}
}
What it installs
The manifest is a name and a version. 11 skills travel with it, and installing the plugin installs all of them — 829 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill bar-prep-questions A 66 tokens
- Skill study-plan A 84 tokens
- Skill irac-practice A 75 tokens
- Skill cold-call-prep A 78 tokens
- Skill exam-forecast A 85 tokens
- Skill flashcards A 75 tokens
- Skill legal-writing A 79 tokens
- Skill outline-builder A 67 tokens
- Skill case-brief A 64 tokens
- Skill socratic-drill A 63 tokens
- Skill session A 93 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.
- 8d ago First seen · 9 lines scan A 326afac6be4b
law-student is a plugin published in the GitHub repository zhou210712/claude-for-legal-ZH (212 stars, last pushed 4mo 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 2026-09-03.
Other plugins, from other repositories
master-skill
A collection of Buddhist AI assistant skills based on Buddhist texts and commentaries, covering teachers and traditions from India, China, Tibet, and Theravāda Buddhism.
edulab
A collection of educational skills that turn school subject questions into interactive teaching webpages. It covers 3D geometry, analytic geometry, conic sections, and chemical reactions.
hypha
Hypha is the AI agent of the Mycelium ecosystem: a connecting filament between engineers and the SysML v2 specification. Provides skills and subagents for KerML/SysML v2 metamodel lookup, standard model library lookup, normative spec citation, and SysML v2 textual-notation validation.
manim-skills
Manim (math animation) skills for AI coding agents — animate equations, plot functions, and render 3Blue1Brown-style explainers to MP4 with Manim Community Edition.
understanding
Understand a topic or a bug: minimal explanations and root-cause diagnosis.
unslop
Three anti-slop scanners in one bundle: a-unslop-text catches AI-diction and cadence tells in prose, a-unslop-code catches bugs and tutorial-shaped patterns in source, a-unslop-ui catches stock-default looks in web UI. Each ships a deterministic scanner plus a Build mode that heads off the tell before it ships. The…