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-fact-checkergit 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-fact-checker)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-fact-checker"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-fact-checker/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-fact-checker"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-fact-checker.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 | $0.00048 | $0.00857 |
| Opus 5.5 | $0.00019 | $0.00343 |
| Sonnet 5.5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
legal-fact-checker 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 17d 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
法律产出事实核查
核查范围从用户要求确定。全面审计覆盖全部主张；局部修改核对受影响事实与引用，保留范围外文字和格式。
来源与材料
- 先定位与问题有关的文件、页码或章节。原文可直接读取时无需统一转为 Markdown，也不因提供文件夹而转换全部文件。
- 需要提取时选可用工具，保留出处、页码或段落。长文先检查提取覆盖范围；出现缺页、截断、表格错位或识别疑点时，再用第二工具或原页核对。
- 检索未命中不能证明原文没有。作出缺失判断前，确认相关页已完整提取或检查原页。
- 中间提取文件放内部工作目录；已有
_source_md/可复用，但目录名不是事实真实性的条件。 - 局部无法读取时说明影响范围，继续已可靠取得材料的部分。不得以不完整提取结果冒充全面核查。
核对要求
- 关键事实可追溯到用户提供的原始材料或可核验的一手来源；区分事实、作者主张、推断及假设。
- 案例核对案号、当事人、法院、日期、裁判结果和相关说理。金额、日期、案号逐字核对；不凭印象补细节。
- 法规核对名称、条款项、原文及与案件时间有关的效力状态。转述不得当成原文引语。
- 姓名按原文处理；用户要求脱敏时遵循其脱敏范围，保持身份对应一致。
- 同一引用在本次核查已取得可靠原文且无变化时可复用核验记录；发现矛盾、新材料或改动再核查相关项。
检索与工具
发现实际可用的工具并读取参数 schema。北大法宝、其他权威数据库、发布机关或法院原文均可提供核验依据，不能假定某一供应商的专用接口已安装。
有可用法宝 MCP 时按法规、精准条文或案例任务选择接口；网页兜底按需使用 pkulaw-legal-search。缺少案号识别或超链接接口时，直接核对取得的原文与来源，不停止其他核查，不编造接口返回、案号或链接。
交付前检查
对本次范围检查来源对应、数字一致、时间线和论证是否与已核验材料相符。已完成且无新问题的检查无需按固定遍数重复。
纠正能够确认的错误；未能取得可靠依据的关键主张应删除、改为条件表达或明确标为待核实，不能写成已验证结论。尚存缺口影响结论时，向用户说明具体位置和影响。
默认交付用户请求的文件或答复。只有用户要求独立核查底稿时才另建清单，包含位置、原主张、核查结果、来源和未决项；过程标签不进入提交用正文。不强制生成 UNSOURCED.md。
相关工作
- 引注格式：
legal-citation-comprehensive；DOCX 原生脚注按需使用legal-citation-automator。 - 民法作业版式：
legal-homework-formatter。 - 需要 OCR 或复杂版面提取时，选择当前可用的本地或已授权服务；服务上传与费用不由本技能自动授权。
What ships with it
1 file 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.
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.
- 17d ago Changed · -155 lines · -99 tokens per session 0b55524ec9a6
- 1mo ago First seen · 200 lines · 147 tokens per session scan A 222997230a1b
legal-fact-checker is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (68 stars, last pushed 18d ago), licensed MIT. It adds 48 tokens to every session and 857 once invoked, about $0.0002 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 2026-08-30.
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legal-hold
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specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
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Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…