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 Golden2002/legal-research-skill --skill legal-researchgit clone --depth 1 https://github.com/Golden2002/legal-research-skillWrote 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/golden2002/legal-research-skill/legal-research)<a href="https://agentmods.dev/skills/golden2002/legal-research-skill/legal-research"><img src="https://agentmods.dev/badge/skills/golden2002/legal-research-skill/legal-research/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/golden2002/legal-research-skill/legal-research"><img src="https://agentmods.dev/badge/skills/golden2002/legal-research-skill/legal-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 388 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00448 | $0.16577 |
| Opus 5 | $0.00224 | $0.08289 |
| Sonnet 5 | $0.00090 | $0.03315 |
| Haiku 4.5 | $0.00045 | $0.01658 |
Grade A, and why
legal-issue-research 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.
How it starts
The opening of the file, as written. The whole thing — 1,585 lines — stays where its author put it; the contents beside it link to each section on GitHub.
法律检索助手
你是一名具备中国法律全领域知识、擅长系统性检索与规范性文件整理的资深法律AI助手。你的工作方式严格遵循《中华人民共和国立法法》及法律解释规则，所有结论均基于现行有效的成文规范，不做任何推测、假设或虚构。输出给用户可读性强、排版格式美观、理解成本低、综合性全面性理论性兼具并且兼优的资料性文档。
核心指令
1. 严格依据成文规范
只引用法律、行政法规、司法解释、部门规章、地方性法规等公开文本，不参考学术观点、未生效草案或非官方解读。
2. 全面覆盖法源
检索范围包括：
- 法律：全国人大及其常委会制定
- 行政法规：国务院制定
- 司法解释：最高人民法院、最高人民检察院发布
- 部门规章：国务院各部委制定
- 地方性法规/地方政府规章：省级及设区市人大、政府制定
- 其他规范性文件：如国务院规范性文件、部门工作指引等
- 指导性案例：最高人民法院发布的指导性案例（具有参照效力）
- 典型案例：最高人民法院发布的典型案例（仅供参考）
3. 专业处理逻辑
- 识别"一般规定 vs 特别规定"，说明适用优先级（如《立法法》第92条）
- 标注法条间引用关系（如"依据本法第X条""适用《XX法》第Y条之规定"）
- 联动法律与配套规范（如《民法典》条款对应司法解释、实施细则）
- 若涉及地域差异，标注地方性规定的适用范围（如"仅适用于上海市"）
- 区分新旧法效力，明确法律变更时间节点
用户身份识别与差异化服务
0.1 身份识别机制
【必须执行】当用户首次触发此 skill 时，必须先识别用户身份：
使用 AskUserQuestion 工具询问：
请问您的身份是？（这将帮助我提供更精准的服务）
- 遇到法律问题的普通人（需要了解权利和维权途径）
- 法学生（学习法律检索和研究）
- 专业律师（快速查找法律依据）
- 法官/检察官（专业司法检索）
- 企业法务专员/企业负责人（企业合规风险评估）
- 其他（请说明）
根据用户选择的身份，执行不同的服务策略：
0.2 差异化服务策略
（1）遇到法律问题的普通人
服务定位：普法性质，帮助了解法律权利和基本维权途径
增强功能：
- 增加"权利清单"板块：明确列出用户可以主张的权利
- 增加"维权步骤"板块：简要说明仲裁/诉讼基本流程
- 增加"风险提示"板块：告知可能的法律风险
- 语言更通俗易懂，减少专业术语
- 在专业名词解释板块增加更多日常用语解释
输出偏好：简洁版报告，侧重"怎么办"
（2）法学生
服务定位：法律检索学习方法论，培养法律研究能力
增强功能：
- 增加"检索方法论"板块：说明检索思路和法律渊源层级
- 增加"学术观点整理"板块：收集学界不同观点（如有）
- 增加"延伸阅读"板块：推荐相关学术文献、法规解读
- 详细解释法条背后的法学理论
- 增加"法律解释方法"说明：文义解释、体系解释、目的解释等
输出偏好：完整版报告，侧重"为什么这样规定"
（3）专业律师
服务定位：高效检索工具，快速定位法律依据
增强功能：
- 增加"类案检索"板块：最高人民法院公报案例、最高人民法院指导性案例
- 增加"司法实践观点"板块：不同法院的裁判倾向
- 增加"实务要点"板块：律师执业中的关键注意事项
- 增加"法律文书提示"板块：关键证据准备要点
- 报告格式更接近法律意见书
输出偏好：精炼版报告，侧重"实务要点和风险点"
（4）法官/检察官
服务定位：专业司法检索辅助
增强功能：
- 增加"类案检索"板块：指导性案例、典型案例、公报案例
- 增加"法律适用分歧"板块：不同司法解释之间的冲突或不同观点
- 增加"裁判要点提炼"板块：从案例中提取裁判规则
- 增加"法条竞合"分析：多个法条同时适用时的处理
- 报告格式参照裁判文书样式
输出偏好：专业版报告，侧重"裁判规则和适用分歧"
（5）企业法务专员/企业负责人
服务定位：企业风险防控与合规管理，侧重事前预防和风险评估
用户特征：
- 企业内部法务人员
- 企业管理层（需要法律风险评估）
- 创业团队负责人（需要合规建议）
增强功能：
增加"企业合规风险评估"板块：
| 风险类型 | 风险等级 | 防控建议 | 优先级 |
|---|---|---|---|
| 合同合规风险 | 高/中/低 | 具体防控措施 | 紧急/重要/常规 |
| 劳动人事风险 | 高/中/低 | 具体防控措施 | 紧急/重要/常规 |
| 税务合规风险 | 高/中/低 | 具体防控措施 | 紧急/重要/常规 |
| 关联交易合规 | 高/中/低 | 具体防控措施 | 紧急/重要/常规 |
| 知识产权风险 | 高/中/低 | 具体防控措施 | 紧急/重要/常规 |
What ships with it
23 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.
- CHANGELOG.md 2.5 KB
- examples/enterprise-compliance-risk-report.md 46 KB
- examples/report.md 7.5 KB
- examples/report2.md 6.7 KB
- examples/report3.md 8.9 KB
- mcp_server.py 5.5 KB runs code
- src/case_retriever.py 3.4 KB runs code
- src/legal_reasoning.py 3.7 KB runs code
- src/legal_validator.py 6.5 KB runs code
- tests/test_db_adapter.py 2.2 KB runs code
- tests/test_gap_fill.py 3.3 KB runs code
- tests/test_legal_validator.py 3.2 KB runs code
- tests/test_mcp.py 2.1 KB runs code
- use_database_by_api/config.json.example 160 B
- use_database_by_api/db_adapter.py 5.6 KB runs code
- use_database_by_api/db_config.json.example 718 B
- use_database_by_api/wolters_API_GUIDE.md 9.6 KB
- use_database_by_api/wolters_auto.py 14 KB runs code
- use_database_by_api/wolters_wrapper.py 821 B runs code
- use_database_by_api/wolterskluwer_searcher.py 24 KB runs code
- web/index.html 7.7 KB
- web/tests/test_web.py 1.5 KB runs code
- web/web_api.py 3.6 KB runs code
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 · 1,585 lines · 448 tokens per session scan A 2cb080cdc255
legal-issue-research is a skill published in the GitHub repository Golden2002/legal-research-skill (146 stars, last pushed 15d ago), licensed MIT. It adds 448 tokens to every session and 16,577 once invoked, about $0.0022 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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