legal-fact-checker

legal-fact-checker is a skill for Claude Code, Codex from NEU-ZHA/legal-ai-skills. It costs 147 tokens per session (3,097 once invoked), scanned A, original, MIT.

A fact-checking tool for legal writing, including court documents, contract reviews, case analyses, and legal opinions. It checks claims against supplied documents or available legal sources.

In plain words
What is it for?
Use it to inspect PDFs, Word files, screenshots, database results, and web pages before using them in legal work. It can convert documents to searchable text and preserve where each fact came from.
Why use it?
It reduces the risk of inventing or repeating unsupported cases, laws, or facts. It also flags information that could not be verified.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect PDFs, Word files, screenshots, database results, and web pages before using them in legal work. It can convert documents to searchable text and preserve where each fact came from.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/neu-zha/legal-ai-skills/legal-fact-checker
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.

Any agent
npx skills add NEU-ZHA/legal-ai-skills --skill legal-fact-checker
Clone the repo
git clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skills

Made for: Claude Code, Codex.

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-fact-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/legal-fact-checker/github.svg)](https://agentmods.dev/skills/neu-zha/legal-ai-skills/legal-fact-checker)
Your own site
<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.

agentmods 80×15 button for legal-fact-checker

Your own site · 80×15
<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>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,097 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00147 $0.03097
Opus 5 $0.00073 $0.01548
Sonnet 5 $0.00029 $0.00619
Haiku 4.5 $0.00015 $0.00310

Measured 12d ago against content hash 222997230a1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

skills/legal-fact-checker/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

核心原则

一切法律产出必须有事实依据。禁止编纂案例、法规或事实。

本技能在法律相关任务中强制执行三道防线:

  1. 用户材料锚定——优先核对用户放在任务文件夹里的法规、案例、PDF、网页截图、数据库结果和 Word 文档
  2. 可用时回源——有北大法宝 MCP 或网页权限时再做回源核验;没有权限时标 [待补: 来源],不得声称已验证
  3. 无据声明——提交前自检,单独输出无据内容清单

工作流程

阶段一:文档转换与锚定(Document Anchoring)

当用户提供包含 PDF 或 Word 文件的文件夹时:

  1. 扫描文件夹:识别所有 .pdf.docx.doc 文件
  2. 逐个转换
    • PDF 文件 → 优先使用 markitdown(对长文档更可靠,不易截断);如需版面还原则用 PaddleOCR Document Parsing 补充
    • Word 文件 → 使用 docxDocx Cn skill 转为 Markdown
  3. ⚠️ 转换完整性验证(强制):转换完成后必须执行以下检查,不得跳过
    • 章节覆盖检查:提取 MD 中所有章节标题(## Chapter## 第X章等),与 PDF 目录页对照,确认最后一章在 MD 中存在
    • 长度合理性检查:如果 MD 长度明显偏短(如只有预期的 60%),必须怀疑截断,用 markitdown 交叉验证
    • 关键词锚定检查:如果用户问的是特定内容,搜索该内容是否在 MD 中出现;搜索未命中时,先怀疑解析不完整,再怀疑原文确实没有
    • 双工具交叉验证:长 PDF(>30页)必须同时用 markitdown 和 PaddleOCR 转换,取内容更完整的版本
  4. 保留引用位置:转换后的 Markdown 必须标注原文出处位置(页码、段落号、章节标题),格式示例:
    <!-- 来源:某某判决书.pdf 第3页 -->
    原告[当事人A]于[日期]通过[交易/行为]取得[标的物]……
    
  5. 存储转换结果:将所有转换后的 MD 文件存放在工作目录的 _source_md/ 子文件夹中
  6. 锚定声明:在后续所有工作中,凡引用文件夹内容,必须能在 _source_md/ 中找到对应原文。不得凭记忆或推测补充细节。

⚠️ 如果文档转换失败或内容不完整,必须明确告知用户哪些部分未能转换,不得跳过此步骤直接开始写作。

🚫 绝对禁止:在未验证转换完整性的情况下,基于不完整的转换结果下"原文没有"的结论。这是已发生过的严重错误(2026-04-26:PaddleOCR 丢失 PDF 后半部分,直接得出"Outline 不含 Chapter 7-9"的错误结论)。

阶段二:内容撰写与引用纪律

在撰写法律文件时:

  1. 严格引用:所有事实陈述必须可追溯到 _source_md/ 中的原文、用户提供的数据库/网页材料,或经可用 PKULaw MCP/网页回源的来源
  2. 案例引用规则
    • 案号必须完整准确(如 (20XX)XX民初XXXXX号
    • 当事人姓名必须与原文一致
    • 判决结果、赔偿金额等数字必须逐字核对
    • 不得凭印象编写案例细节
  3. 法规引用规则
    • 法条编号必须准确(如《民法典》第148条,不是第147条)
    • 法条内容必须与原文一致,不得意译后当作原文引用
    • 引用具体款项时必须标注(如第1款、第2项)
  4. 标注来源:在写作过程中,对每个关键事实标注来源:
    • [来源:_source_md/判决书.md 第5页] —— 来自文件夹文档
    • [来源:PKULaw MCP/网页回源通过] —— 经用户可用的法宝权限回源
    • [待补: 来源] —— 未能找到来源或当前没有可用回源权限(必须在最终提交前处理)

阶段三:PKULaw 回源(可用时)

北大法宝是增强回源工具,不是使用本 skill 的安装前提。核验顺序如下:

  1. 先核用户给出的来源

    • 如果用户已经把法规、案例、PDF、网页截图、数据库结果放进文件夹,先逐字核对这些材料。
    • 不要因为没有联网或没有 MCP,就重新编造来源或跳过本地来源核验。
  2. 有基础 PKULaw MCP 时再回源

    • 法规或规范性文件:用 law-keyword / get_law_list 找法规线索。
    • 已知法规名和条号:用 fatiao / get_law_item_content 核对条文原文。
    • 案例线索:用 case-keyword / get_case_list 检索案例列表,并核对案名、法院、案号、日期和相关段落。

Read the full file on GitHub · 200 lines

Files

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.

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. 12d ago First seen · 200 lines · 147 tokens per session scan A 222997230a1b

Subscribe to this mod's changes

legal-fact-checker is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 147 tokens to every session and 3,097 once invoked, about $0.0007 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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