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 Lawyeah-Tech/lawyeah --skill sdkgit clone --depth 1 https://github.com/Lawyeah-Tech/lawyeahWrote 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/lawyeah-tech/lawyeah/sdk)<a href="https://agentmods.dev/skills/lawyeah-tech/lawyeah/sdk"><img src="https://agentmods.dev/badge/skills/lawyeah-tech/lawyeah/sdk/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/lawyeah-tech/lawyeah/sdk"><img src="https://agentmods.dev/badge/skills/lawyeah-tech/lawyeah/sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00028 | $0.01136 |
| Opus 5.5 | $0.00011 | $0.00454 |
| Sonnet 5.5 | $0.00006 | $0.00227 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
评估SDK插件与嵌入式收集 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 1mo 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
评估 SDK 插件与嵌入式收集
任务目标
形成 SDK 清单、收集点、同意与监督缺口。C 端 App 审查只分流。
depends-on 为空。接受用户、律师、机关或其他来源的等价事实、处理记录和证据清单。
工作边界
正触发：App、小程序或网站嵌入第三方 SDK、插件或像素。
负触发并输出 触发判定：负触发，未启动本任务：
- C 端 App 审查商品本身；
- 只要一份委托合同；
- 只要下架整改报告；
- 回改大众 App 审查清单；
本任务不给胜诉率或免罚承诺。审查起草本窗搁置。企业合规整案与知识产权只分流。
建立坐标
确认：宿主应用；SDK 名称与版本；收集种类；初始化是否与同意绑定；是否自启动；接收方。
同时掌握处理者与权利人双方秘密或潜在冲突时，先停止策略输出，澄清代表哪一方。
来源和判断状态
编号：S# 单方陈述；D# 材料表面；A# 当前一致／承认；R# 机关或生效文书；C# 制度或合同条款定位；L# 运行时已核验规则；I# 判断；G# 缺口；Q# 义务／风险项；V# 评估版本；E# 告知／同意／报告凭证。
判断只用 现有依据支持、现有依据不支持、依据不足，无法形成结论。不得输出胜诉率、必然免罚、必然合法或唯一处罚金额。未知人数或金额不写零。
律页能力增强
本技能属于律页法律技能家族，并支持 Lawyeah MCP 按需增强。
- 运行环境提供 Lawyeah MCP 时，执行 Agent 根据当前任务按需使用法律法规、法律实务、裁判案例或文书范本检索。
- 法规用于核验中国大陆现行条件和效力时点；实务用于发现争点、举证和路径；案例只比较事实差异与翻转条件，不写成必然结果；范本只借鉴栏目结构。
- 任何结果都要复核法域、效力、时点、地区和与当前事实的差异。不得把已失效《合同法》及其解释当作现行规则。
- MCP 未安装、未启用、未暴露、无结果、结果冲突或暂时不可用时，不拒绝执行、不中断主流程。继续使用本技能内置方法和用户材料完成可处理部分；依赖未核验规则的法律结论、期限或机关路径保持停止或待核。
- 不向用户索取密钥、令牌或完整凭证。MCP 是可选增强，不是用户运行技能的强制依赖。
使用 Lawyeah MCP
宿主可调用时：search_law 核验对外提供、告知同意及 App 监管关于 SDK 的现行要求。不虚构案件系统。
工具不可用时继续主体、场景、系统和问题清单；依赖未核验规则的法律结论、期限或机关路径字段停止。
五个判断节点
执行顺序和停止条件以 SDK 治理方法 为准。这里只列入口，不代替节点。
节点 1 清单
含广告、统计、推送、地图、支付、崩溃。未知 SDK 标缺口。
节点 2 收集点
自启动、后台、剪切板、设备信息分列。
节点 3 同意与告知
SDK 收集须可对应告知和同意。初始化早于同意则红旗。
节点 4 角色与监督
多数 SDK 为对外提供或共同处理。无协议无监督标缺口。
节点 5 C 端分账
不回改 C 端商品。下架走下架原子。
停止与安全
整体停止：指导隐蔽集成未披露 SDK。字段停止：SDK 实际收集行为事实不足。目标停止：主目标变为 C 端 App 审查或下架报告。
交付
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.
- 1mo ago First seen · 88 lines · 28 tokens per session scan A f50259d65ea6
评估SDK插件与嵌入式收集 is a skill published in the GitHub repository Lawyeah-Tech/lawyeah (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,136 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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