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-woot-deal-assessmentgit 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-woot-deal-assessment)<a href="https://agentmods.dev/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-woot-deal-assessment"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-woot-deal-assessment/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-woot-deal-assessment"><img src="https://agentmods.dev/badge/skills/xjli360/sealeap-amazon-ad-skills/sealeap-amazon-woot-deal-assessment.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 | $0.00090 | $0.00840 |
| Opus 5 | $0.00045 | $0.00420 |
| Sonnet 5 | $0.00018 | $0.00168 |
| Haiku 4.5 | $0.00009 | $0.00084 |
Grade A, and why
sealeap-amazon-woot-deal-assessment 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 5d 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 Woot Deal 可行性评估
目标
把 Woot 视为独立销售与促销渠道，核对官方准入、真实利润和责任边界，而不是风险隔离工具。
适用任务
- 服务商提供 Woot 入驻、代报或账号出售。
- 评估新品或库存参加 Woot 活动。
- 比较 Woot 核价、费用、库存和品牌影响。
开始前要拿到
- 当前 Woot 官方卖家或供应商准入信息和合同。
- 主体、账号所有权、品牌授权、ASIN、库存与物流责任。
- 核价、折扣、费用、退货、结算和活动后影响。
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
- 不得购买、出售、借用或代持账号，也不得规避主体审核。
- Woot 不是评论操纵、虚假订单或绩效风险的防火墙。
- 所有资格、费用和流程容易变化，必须用当前官方材料验证。
- 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. 验证准入来源
确认申请或邀请来自 Woot 官方域名和合同主体，核验服务商授权与费用，不分享凭证。
2. 核对账号与权利
确认实际经营主体、银行税务信息、品牌或分销权和商品真实性。
3. 计算 Deal 经济性
从核价扣除费用、货值、物流、退货、仓储和机会成本，计算贡献利润与现金周期。
4. 评估库存与品牌
检查活动量、补货、价格历史、其他渠道冲突和活动后 Amazon 价格感知。
5. 审查合规风险
排除人工订单、评价干预、跟卖隔离风险和任何账号交易安排。
6. 形成条件式决策
资格、利润、库存、权利和运营能力均通过才给 GO；否则给补件或 NO-GO。
判断标准
- 官方资格和合同已当前验证。
- 账号、款项和商品权利链一致。
- 活动在压力情景下仍不突破亏损和库存线。
必须交付的结果
- 准入与服务商真实性检查。
- Deal 单位经济和现金周期。
- 库存、品牌与合规风险。
- GO、CONDITIONAL GO 或 NO-GO。
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.
- 5d ago First seen · 75 lines · 90 tokens per session scan A 52a7a313d98d
sealeap-amazon-woot-deal-assessment is a skill published in the GitHub repository xjli360/sealeap-amazon-ad-skills (86 stars, last pushed 6d ago), licensed MIT. It adds 90 tokens to every session and 840 once invoked, about $0.0005 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 2026-09-07.
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