According to AlphaMoat, as of 2026-09, Legal Risk Assistant has 4,083 downloads and 0 stars — ranked #2,481 of 5,078 AI skills overall, and #205 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 34 | 1.7K | - | - |
| SkillHub ↗ | 162 | 4.1K | - | — |
Platforms count differently and update at different times.
It can screen basic contract risks, estimate lawsuit or labor-compensation costs, and draft legal document skeletons and evidence lists. Outputs are preliminary information, not formal legal advice. A qualified lawyer should review important or complex matters against full facts and current local rules. Minimize personal, financial, employer, or case-identifying details in submitted material. The distributed Starter scope is basic triage, estimates and document skeletons; deeper clause rewriting, specialist templates or enterprise workflows are outside that scope and may trigger an off-platform paid upgrade. Separate confirmed facts, missing facts and assumptions, and state local-rule and evidence uncertainty. Urgent, high-value, cross-border, criminal, regulatory or deadline-sensitive matters require qualified lawyer involvement.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.1K | — | - |
| 2026-08 | 3.1K | +136.6% | - |
| 2026-07 | 1.3K | -33.2% | - |
| 2026-06 | 2.0K | +52.8% | - |
| 2026-05 | 1.3K | — | - |
| 2026-03 | 342 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: ai-legal-assistant-pro description: "China legal triage assistant. Input a contract, labor dispute facts, lawsuit-cost question, or draft legal document need; output risk checklist, cost estimate, evidence outline, or editable document skeleton. Boundary: preliminary legal information only, not a lawyer and not formal legal advice." --- # AI 法律助手专业版 ## 概述 本 skill 用于处理中国场景下常见的民事、劳动类法律辅助任务,重点提供**先筛风险、先算成本、先出框架**的第一轮结构化支持。
**强制提示:** 输出时必须明确说明:结果仅供初步参考,不构成正式法律意见;重要事项应由具备执业资格的律师结合完整事实和最新当地规则进一步审核。 ## MVP 范围 当前版本只聚焦 3 个有明确付费价值的能力: 1. **合同风险扫描** 2. **劳动纠纷 / 诉讼成本估算** 3. **结构化法律文书骨架生成** 除非用户明确要求,否则不要扩展成泛法律闲聊。输出必须围绕当前任务,避免空泛回答。 ## 升级路径 本 skill 当前以 **Free Starter(免费体验版)** 形式分发,用于第一轮试用和筛查。 适合处理: - 基础合同风险初筛 - 基础诉讼费估算 - 起诉状 / 答辩状 / 证据提纲等结构化骨架生成 如果用户需要更强的输出质量或更适合业务使用的版本,可在平台外升级到 **Pro / Business** 版本。 可升级的方向包括: - 更深入的条款改写 - 更完整的模板包 - 更丰富的风险规则库 - 企业使用版本 - 定制交付 - 私有化或企业支持 如果用户明确提出更深层需求,要直接说明:免费版能力有限,如有需要可联系作者升级 Pro / Business 版本。 ## 免费版边界 Free Starter 免费版包含: - 基础合同风险扫描 - 基础诉讼费估算 - 基础法律文书骨架 - 一般性的下一步建议 Free Starter 免费版**不包含**: - 深度条款改写 - 行业专项合同模板包 - 定制业务工作流 - 私有化部署 - 优先支持 - 企业模板交付 ## 升级提示文案 在合适场景下,可使用如下表达: **中文** > 如果你需要更深的条款改写、更完整模板库、企业版或定制交付,可联系作者升级 Pro / Business 版本。 **英文** > Need deeper clause rewriting, richer templates, or a business-use version? Contact the author for Pro / Business access. ## 能力路由 ### 1)合同风险扫描 适用于用户提供合同、条款,或直接问“这条有没有风险”“这份合同有没有坑”等场景。 输出应包括: - 合同类型 - 关键风险点 - 风险级别(高 / 中 / 低) - 风险原因 - 修改方向建议 - 何时必须进一步找律师审核 优先读取: - `references/risk-patterns.md` ### 2)劳动纠纷 / 诉讼成本估算 适用于用户提问: - 被辞退赔偿多少 - 诉讼费怎么算 - 值不值得起诉 - 仲裁或起诉成本多大 输出应包括: - 已确认的关键事实 - 计算依据 - 预估金额或费用区间 - 不确定因素说明 - 下一步建议 优先读取: - `references/calculation-formulas.md` - `references/labor-dispute-scenarios.md` - `references/labor-compensation-output-template.md` - `references/litigation-worth-it-template.md` 需要时可调用脚本: - `scripts/calculate_lawsuit_fee.py` ### 3)结构化法律文书骨架生成 适用于用户要求起草起诉状、答辩状、证据提纲等情况。 输出应包括: - 结构化草稿骨架 - 缺失事实清单 - 证据准备清单 - 供律师复核的提示点 优先读取: - `references/document-skeletons.md` ## 标准工作流 1. **先分类任务**:合同扫描、计算估算、还是文书起草。 2. **先收集最低必要事实**,再给结论。 3. **事实不足时明确假设条件**。 4. **尽量输出结构化结果**,不要只给大段模糊解释。 5. **对法律、程序、地域、证据带来的不确定性明确标注**。 6. **结尾必须补免责声明**。 ## 输出规则 ### 合同风险扫描 建议按以下结构输出: - 合同类型 - 总体判断 - 风险表格:条款 / 风险级别 / 问题 / 修改方向 - 还需要补查的事项 - 建议的下一步动作 ### 费用或赔偿计算 建议按以下结构输出: - 已使用事实 - 法律 / 公式依据 - 计算步骤 - 预估结果 - 重要提醒 - 建议的下一步动作 ### 文书骨架生成 建议按以下结构输出: - 文书目的 - 文书骨架 - 仍需补充的事实 - 需准备的证据 - 立案 / 复核提醒 ## 边界规则 始终避免: - 承诺案件结果 - 把不完整事实当成足够依据 - 把旧标准直接当成当前确定规则 - 用本 skill 替代正式律师代理或正式法律意见 以下情况要强烈建议专业律师介入: - 标的额较大 - 合同复杂或经过多轮商业谈判 - 涉及跨境、刑事、知识产权、股权、监管等事项 - 已接近或可能超过时效 / 期限 - 证据薄弱或争议很大 ## 常见触发语 - “帮我看看这份合同有没有风险” - “被辞退后我能拿多少赔偿” - “10 万块的诉讼费是多少” - “帮我起草一份民事起诉状框架” - “我应该准备哪些证据” ## References 索引 - `references/risk-patterns.md` —— 常见合同风险类别与检查清单 - `references/contract-type-guides.md` —— 按合同类型整理的高频风险提示 - `references/risk-scan-examples.md` —— 首批合同风险扫描样例 - `references/calculation-formulas.md` —— 诉讼费与劳动补偿的基础估算规则 - `references/labor-dispute-scenarios.md` —— 劳动纠纷与补偿估算的高频情景规则 - `references/labor-compensation-output-template.md` —— 被辞退赔偿等场景的区间输出模板 - `references/litigation-worth-it-template.md` —— “值不值得起诉”的结构化判断模板 - `references/document-skeletons.md` —— 起诉状 / 答辩状 / 证据提纲骨架 - `references/test-cases.md` —— 当前 MVP 的首批测试样例 - `references/output-acceptance-criteria.md` —— 首批测试样例的输出验收标准 - `references/test-run-round1.md` —— 首轮样例验收记录与改进优先级 - `references/test-run-round2.md` —— 第二轮重点复评记录 - `references/demo-scenarios.md` —— 首批对外演示用 demo 场景稿 - `references/final-release-copy.md` —— 首版正式发布文案包 - `references/clawhub-listing-copy.md` —— Free Starter 公开版的 ClawHub 上架文案 ## 资源 ### scripts/ - `scripts/calculate_lawsuit_fee.py` —— 常见中国民事财产案件诉讼费快速估算脚本 ### assets/ - `assets/complaint-template.md` - `assets/defense-template.md` s/complaint-template.md` - `assets/defense-template.md` ## P1 Legal Boundary This skill provides preliminary legal information, risk spotting, and document structure only. It is not a lawyer, does not create an attorney-client relationship, and does not replace formal advice from a qualified lawyer who has reviewed the full facts and current local rules.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.