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 xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-compliant-review-acquisitiongit clone --depth 1 https://github.com/xjli360/sealeap-amazon-ad-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/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-review-acquisition)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-review-acquisition"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-review-acquisition/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/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-review-acquisition"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-compliant-review-acquisition.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 | $0.00085 | $0.00850 |
| Opus 5.5 | $0.00034 | $0.00340 |
| Sonnet 5.5 | $0.00017 | $0.00170 |
| Haiku 4.5 | $0.00009 | $0.00085 |
Grade A, and why
sealeap-amazon-compliant-review-acquisition 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
Amazon 合规评价获取
目标
在不操纵评价的前提下，通过官方项目、真实订单和更好的产品体验逐步建立可信反馈。
适用任务
- 高客单商品评价增长慢。
- 评估 Vine 成本与库存投入。
- 服务商提出付费测评、种子链接、跨站同步或僵尸链接。
开始前要拿到
- 站点、品牌与 ASIN 的 Vine 或其他官方项目资格。
- 售价、样品成本、库存、真实订单量和 Request a Review 流程。
- 当前评论政策、变体规则和客户体验问题。
缺失的数据要明确列为缺口，并把结论标成事实、估算或假设；不要补造数字。
不可妥协的边界
- 拒绝付费好评、返现、指定星级或内容、亲友员工评论、无购买直评和评价门控。
- 不得用种子链接、僵尸 ASIN、不相关变体或跨站点安排评论来共享评价。
- 客服不能只向满意客户索评，也不能把补偿与评论修改绑定。
- 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架；规则可能变化时先核验。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索；当前业务证据的官方来源、采集时间和口径仍需保留。
工作流
1. 核对官方资格
检查当前站点的 Vine、Request a Review 和品牌工具资格、费用、库存要求与限制。
2. 测算真实成本
按样品、配送、项目费、机会成本和预期非保证回评计算区间，不承诺星级或数量。
3. 提高体验成功率
从质检、包装、安装、说明、配件和售后减少负面体验，但不干预评价倾向。
4. 建立中立请求
对符合条件的订单使用 Amazon 允许的统一、中立流程，不筛选客户，不自定义诱导文案。
5. 验证变体合法性
仅让真实同款的合法变体共享页面体验；任何合并先核对当前类目规则。
6. 监控质量而非造量
跟踪评论主题、退货和产品缺陷，把反馈用于迭代；增长慢时接受真实节奏。
判断标准
- 每条获评路径有官方依据和资格状态。
- 没有报酬、评价倾向控制或不相关合并。
- 成本模型把回评率作为不确定变量。
必须交付的结果
- 合规路径资格矩阵。
- Vine 或官方项目成本情景。
- 中立请求与客户体验 SOP。
- 明确拒绝的高风险方案清单。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步；如包含待执行动作，单独放在“待批准变更”中。
What ships with it
1 file 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 · 75 lines · 85 tokens per session scan A 3d0e7911e9ce
sealeap-amazon-compliant-review-acquisition is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 850 once invoked, about $0.0003 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 2026-09-07.
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