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 NEU-ZHA/legal-ai-skills --skill legal-homework-formattergit clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skillsWrote 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/neu-zha/legal-ai-skills/legal-homework-formatter)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-homework-formatter"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-homework-formatter/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/neu-zha/legal-ai-skills/legal-homework-formatter"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-homework-formatter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00120 | $0.07040 |
| Opus 5 | $0.00060 | $0.03520 |
| Sonnet 5 | $0.00024 | $0.01408 |
| Haiku 4.5 | $0.00012 | $0.00704 |
Grade A, and why
legal-homework-formatter 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legal Homework Formatter
Purpose
This skill provides standardized formatting workflows for Chinese legal homework assignments. It helps documents follow a user-provided course template and the Law Journal Citation Handbook, while resolving common compatibility issues between WPS and Microsoft Word.
When to Use
Use this skill when:
- Creating new Chinese legal homework assignments in Word format
- Formatting existing homework to meet citation standards
- Fixing footnote display issues between WPS and Word
- Adjusting title, heading, or citation formats
- Generating or repairing a homework table of contents (目录/TOC)
- Converting draft content to properly formatted legal documents
Privacy and Required Inputs
This public version must never default to the maintainer's personal information or a private course template.
Before generating a title, filename, header, or metadata, ask the user for:
- assignment date prefix;
- assignment number/title;
- student name;
- student ID, if required;
- course or instructor-specific template, if required.
If the user does not provide a required identity field, use an explicit placeholder such as [待补: 姓名] or [待补: 学号] and flag it in the final checklist. Do not infer, reuse, or hard-code a real person's name, ID, school, email address, or local file path.
Reference Template
Use the user-provided course reference template as the base for generating homework documents when one is available. Its style system is the authoritative source for course-specific formatting. If no template is provided, create a conservative .docx with the formatting rules below and clearly tell the user which template-dependent checks could not be performed.
This public skill also includes an anonymized fallback template at:
assets/legal-homework-template-anonymized.docx
Use it when the user needs a working Word style base but has not provided a private course template. The template keeps the formatting structure while replacing identity fields with [日期], [序号], [姓名], and [学号]. Do not rename it to a private course filename when publishing or redistributing the skill.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/example_asset.txt 865 B
- assets/legal-homework-template-anonymized.docx 21 KB
- references/api_reference.md 975 B
- references/format_requirements.md 15 KB
- references/user_materials_guide.md 5.9 KB
- scripts/add_footnotes.py 27 KB runs code
- scripts/add_homework_toc.py 21 KB runs code
- scripts/docx_compat_check.py 12 KB runs code
- scripts/example.py 607 B runs code
- scripts/fix_footnote_conflict.py 4.7 KB runs code
- scripts/fix_pandoc_heading_artifacts.py 6.9 KB runs code
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.
- 12d ago First seen · 367 lines · 120 tokens per session scan A 80cce9a9e6ae
legal-homework-formatter is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 120 tokens to every session and 7,040 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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