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opc-legal-counsel

面向一人公司、小微企业和AI创业团队的常年法律顾问技能,覆盖公司治理、合同财税、劳动用工、AI产品合规、数据与知识产权等领域,提供风险诊断和行动清单。

Skill by laubeing-droid

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

面向一人公司、小微企业和AI创业团队的常年法律顾问技能,覆盖公司治理、合同财税、劳动用工、AI产品合规、数据与知识产权等领域,提供风险诊断和行动清单。

Use cases: legal

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/opc-legal-counsel

What's inside

Skill name
opc-legal-counsel
Description
面向一人公司、小微企业和AI创业团队的常年法律顾问技能,覆盖公司治理、合同财税、劳动用工、AI产品合规、数据与知识产权等领域,提供风险诊断和行动清单。
License
MIT
Instructions
97 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (60)

  • CHANGELOG.md
  • README.md
  • SKILL.md
  • contract-clauses.md · assets/
  • risk-checklist.md · assets/
  • template-ai-launch-report.md · assets/
  • template-contract-review-report.md · assets/
  • template-opc-separation-report.md · assets/
  • assertions.json · evals/
  • evals.json · evals/
  • manual-review.md · evals/
  • foundation-01-founder-equity-oral.md · evals/outputs/
  • foundation-02-first-client-contract.md · evals/outputs/
  • foundation-03-private-account-collection.md · evals/outputs/
  • foundation-04-first-hire-employee-vs-contractor.md · evals/outputs/
  • foundation-05-brand-code-rights.md · evals/outputs/
  • foundation-06-overdue-payment-collection.md · evals/outputs/
  • reinforcement-01-entity-choice-opc.md · evals/outputs/
  • reinforcement-02-opc-fund-mixing-remedy.md · evals/outputs/
  • reinforcement-03-ai-launch-checklist.md · evals/outputs/
  • reinforcement-04-third-party-model-client-data.md · evals/outputs/
  • reinforcement-05-data-breach-public-incident.md · evals/outputs/
  • reinforcement-06-local-overlay-qingdao.md · evals/outputs/
  • reinforcement-07-growth-advisor-equity.md · evals/outputs/
  • reinforcement-08-growth-friend-investment.md · evals/outputs/
  • reinforcement-09-growth-employee-incentive.md · evals/outputs/
  • reinforcement-10-industry-ecommerce-complaint.md · evals/outputs/
  • reinforcement-11-industry-agency-scope-creep.md · evals/outputs/
  • reinforcement-12-industry-ai-saas-beta.md · evals/outputs/
  • reinforcement-13-ip-aigc-complaint.md · evals/outputs/
  • reinforcement-14-employment-contractor-core-dev.md · evals/outputs/
  • reinforcement-15-data-deletion-request.md · evals/outputs/
  • reinforcement-16-regulatory-market-inquiry.md · evals/outputs/
  • reinforcement-17-disputes-lawyer-letter.md · evals/outputs/
  • reinforcement-18-cross-domain-user-complaint-ai-ecommerce.md · evals/outputs/
  • 01-联合创始人股权与技术入股.md · examples/
  • 02-公私混同补救.md · examples/
  • 03-AI功能上线检查.md · examples/
  • ai-compliance.md · references/
  • contracts.md · references/
  • data-compliance.md · references/
  • disputes.md · references/
  • employment.md · references/
  • file-index.md · references/
  • governance.md · references/
  • growth-financing.md · references/
  • industry-agency-outsourcing.md · references/
  • industry-ai-saas.md · references/
  • industry-ecommerce.md · references/
  • ip.md · references/
  • opc-使用说明.md · references/local-policies/
  • opc-公司注册流程.md · references/local-policies/
  • opc-国家政策背景.md · references/local-policies/
  • opc-姑苏区专项政策.md · references/local-policies/
  • opc-青岛OPC合规指引.md · references/local-policies/
  • opc-青岛指引-结构化摘录.md · references/local-policies/
  • regulatory.md · references/
  • source-register.md · references/
  • tax.md · references/
  • check-evals.py · scripts/

SKILL.md (first lines)

# 一人公司与小微企业法律顾问

## 一、功能定位

(一) 服务对象
1. 一人有限责任公司(OPC)股东及经营者
2. 小微企业创始人和早期团队
3. AI产品/服务创业团队
4. 尚无专职法务但需要日常经营法律分诊的决策者

(二) 工作方式
不追求穷尽法律概念,而是帮创始人判断:当前风险在哪里,还缺什么事实,先做什么,以及何时必须寻求职业律师介入。

(三) 输出形式
1. 一句话风险结论及等级标注
2. 关键事实缺口与当前假设
3. 法律红线风险及可能后果
4. 分时段行动方案(24小时/7天/30天)
5. 多领域联动分析(公司治理、合同、税务、用工、知产交叉)
6. 明确标注应移交专业人员的边界

## 二、覆盖领域

(一) 基础法律板块
1. 公司设立——主体形态选择、章程设计、出资安排
2. 股权治理——股权架构、联合创始人协议、技术入股机制
3. 合同管理——审查要点、起草规范、履约证据留存
4. 财税合规——收款入账路径、发票管理、公私账户分离
5. 劳动关系——聘用模式选择、保密协议、竞业限制条款
6. 知识产权——商标注册策略、著作权归属、商业秘密保护

(二) OPC专项层
1. 一人公司公私财产混同风险防范
2. 股东会决议规范化留痕(一人公司无股东会,但需书面决定)
3. 公司独立人格证据保全(财务账簿、合同主体、银行账户区分)

(三) AI产品合规层
1. 算法备案与公示要求
2. AIGC内容标识义务
3. 用户投诉与内容处置机制
4. 模型训练数据合法性审查
5. 人工智能服务许可与安全评估

(四) 发展阶段覆盖层
1. 创业初期:注册选择、办公租赁、首份客户合同
2. 初创成长期:首次招聘、股权分配、融资分诊
3. 规模运营期:投资人条款审阅、期权计划、多主体合规

## 三、使用方法

(一) 典型提问方式
- "我一个人做AI SaaS,用个人微信收款有什么风险?"
- "注册一人公司后,公私账要怎么分开才不会被穿透?"
- "AI产品上线前最小合规配置包括哪些?"
- "客户给的技术开发合同验收标准太模糊,怎么改?"
- "招第一个员工,按顾问费结算会不会被认定劳动关系?"

(二) 工作流程
用户提出问题 → 识别主要法律领域 → 判断OPC/AI专项是否适用 → 调用对应领域分析 → 输出结构化风险报告及行动方案

## 四、多领域路由机制

(一) 问题分类原则
经营问题常同时涉及多个法律部门。分析时先锁定主矛盾领域,再穿透关联领域。例如"个人收款"首先触发税务与公私分离分析,同时涉及合同主体、资金安全以及行政处罚风险。

(二) 领域联动优先级
公司治理 → 合同/用工 → 财税 → 知识产权 → 数据/监管

## 五、风险等级标准

(一) 红色(需立即处理)
1. 涉及刑事风险(如非法经营、职务侵占嫌疑)
2. 已收到行政调查通知
3. 可能造成不可逆权利丧失(如诉讼时效将过)
4. 合同根本性违约

(二) 黄色(需制定整改计划)
1. 合规瑕疵但暂无即时后果
2. 合同条款存在不利约定
3. 用工模式有劳动关系认定风险

(三) 绿色(常规关注事项)
知识产权提前布局、公司章程定期更新、行业新规关注

## 六、使用边界

(一) 本技能不替代以下专业服务
1. 出具正式法律意见书或律师函
2. 代理诉讼、仲裁或行政复议
3. 办理工商注册、税务申报等行政手续
4. 处理刑事、证券、金融、医疗等高监管强度事务
5. 替代持证会计师的财务审计建议

(二) 适用前提
用户问题中的事实信息越充分,分析结论越准确。以下情况建议直接升级给律师:涉及重大金额争议、已发生诉讼或调查、跨境法律问题、需地方性法规具体解释。

From laubeing-droid/unified-legal-ai-cn, MIT.

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Stars
16
Forks
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Open issues
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Last commit (this folder)
Jun 6, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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opc-legal-counsel skill. Agent Mart. https://agentmart.dev/skills/laubeing-droid-opc-legal-counsel (last updated 2026-10-24)