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 pkulaw-mcp-batch-contract-screeninggit 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/pkulaw-mcp-batch-contract-screening)<a href="https://agentmods.dev/skills/neu-zha/legal-ai-skills/pkulaw-mcp-batch-contract-screening"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-batch-contract-screening/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/pkulaw-mcp-batch-contract-screening"><img src="https://agentmods.dev/badge/skills/neu-zha/legal-ai-skills/pkulaw-mcp-batch-contract-screening.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 | $0.00129 | $0.00870 |
| Opus 5 | $0.00064 | $0.00435 |
| Sonnet 5 | $0.00026 | $0.00174 |
| Haiku 4.5 | $0.00013 | $0.00087 |
Grade A, and why
pkulaw-mcp-batch-contract-screening 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.
What it actually says
北大法宝 MCP：Batch Contract Screening（批量合同初筛）
这个 Skill 只处理同模板或同类型合同的批量筛查。
如果用户要深挖某一份合同的具体条款，应转到 pkulaw-mcp-contract-review-lite，不要在批量模式里假装做精细逐条意见。
一句话流程
按合同批次逐份执行：law-recognition 识别引用 -> citation-validator 核验准确性 -> 聚类形成批量风险台账。
推荐工作流
- 按合同类型分批（采购、销售、服务、数据等）。
- 只抽取每份合同的关键模块，而不是对全部文本逐字深挖。
- 对关键条款调用
law-recognition提取法规引用。 - 用
citation-validator核验引用正确性与一致性。 - 按条款类型聚类（违约责任、解除、保密、争议解决等）。
- 输出批量风险台账与整改优先级。
风险分级建议
- 红色：引用错误或关键条款无法建立依据。
- 黄色：引用不完整、歧义较高、适用条件不明确。
- 绿色：引用基本准确，但仍建议保留复核意见。
输出纪律
- 输出重点是“批量规律”和“整改优先级”，不是单份长篇审查报告。
- 不得把少量抽样结论直接外推成全部合同都无风险。
- 对系统未命中项，只能写“待人工复核”或“系统未命中”，不能推断为“无风险”。
质量门槛
- 红色项必须附核验依据与整改建议。
- 无法核验项必须标注“待人工复核”。
- 不得将初筛结果表述为最终法律意见。
失败与降级
- 工具返回不稳定或空结果：记录为“系统未命中”，不推断为“无风险”。
- 批量过大：先按合同类型或批次分段处理，避免一次性结论失真。
- 若某一份合同需单独深挖：切换到
pkulaw-mcp-contract-review-lite。
关联 Skill
- 法条识别：pkulaw-mcp-law-recognition
- 引用核验：pkulaw-mcp-citation-validator
- 单份合同初筛：pkulaw-mcp-contract-review-lite
配套文件
- 输出模板：template.md
- 真实业务示例：examples.md
What ships with it
4 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.
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 · 71 lines · 129 tokens per session scan A 6b588d92b6f9
pkulaw-mcp-batch-contract-screening is a skill published in the GitHub repository NEU-ZHA/legal-ai-skills (64 stars, last pushed 23d ago), licensed MIT. It adds 129 tokens to every session and 870 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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