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 zach22-1999/amazon-skills --skill zach-sif-cvr-threshold-analyzergit clone --depth 1 https://github.com/zach22-1999/amazon-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/zach22-1999/amazon-skills/zach-sif-cvr-threshold-analyzer)<a href="https://agentmods.dev/skills/zach22-1999/amazon-skills/zach-sif-cvr-threshold-analyzer"><img src="https://agentmods.dev/badge/skills/zach22-1999/amazon-skills/zach-sif-cvr-threshold-analyzer/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/zach22-1999/amazon-skills/zach-sif-cvr-threshold-analyzer"><img src="https://agentmods.dev/badge/skills/zach22-1999/amazon-skills/zach-sif-cvr-threshold-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00129 | $0.01918 |
| Opus 5 | $0.00064 | $0.00959 |
| Sonnet 5 | $0.00026 | $0.00384 |
| Haiku 4.5 | $0.00013 | $0.00192 |
Grade A, and why
zach-sif-cvr-threshold-analyzer 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 13d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
前置建议
本公开版 Skill 是自包含的，不依赖作者的本地工作区、店铺配置或私有数据源。
开始执行前，建议先读取本 Skill 自带材料：
references/input_schema.md— 领星 ASIN 360 业务报表字段和兼容别名references/threshold_method.md— 阈值、命中率、召回率、Lift 的计算口径scripts/analyze_cvr_rank_threshold.py— 离线阈值分析脚本examples/business-report-sample.csv— 脱敏业务报表示例examples/sif-daily-keyword-sample.json— 脱敏 SIF 日级关键词排名缓存示例
定位
这个 Skill 用来回答一个具体问题：
站外放量期间，如果 ASIN 的整体 CVR 或广告 CVR 低于某个区间，是否更容易引发核心词或长期稳定词的自然排名波动？
它不是站外归因工具，也不会替用户修改广告、预算、价格、Coupon 或 Listing。它只把业务报表里的转化数据，与 SIF 日级关键词自然排名数据对齐，给运营一个可盯盘的风险阈值。
输入参数
| 参数 | 必须 | 默认值 | 说明 |
|---|---|---|---|
| 业务报告 | 是 | - | .csv / .xlsx / .xlsm，优先使用领星 ASIN 360 日级 ASIN 业务数据 |
| ASIN | 是 | - | 目标 ASIN |
| SIF 缓存 | 是 | 自动查找输出目录内默认缓存名 | 用户自己的 SIF MCP/tooling 导出的日级关键词 JSON |
| 站点 | 否 | US |
用于输出标识 |
| 品牌 | 否 | UnknownBrand |
只用于输出目录和报告标题 |
| 投放开始日期 | 否 | 空 | 用于 pre/post 标记和稳定词筛选 |
| 核心关键词 | 否 | SIF 分数自动筛选 | 推荐人工传入 2-6 个核心大词或型号词 |
| 输出目录 | 否 | outputs/zach-sif-cvr-threshold-analyzer/{brand}/ |
报告与 CSV 输出位置 |
执行流程
Step 1: 准备业务报表
- 从领星 ASIN 360 导出目标 ASIN 的日级业务报表，至少包含日期、ASIN、Session、整体 CVR。
- 如果字段名不同，按
references/input_schema.md做映射。 - 如果报表内有多个 ASIN，必须用
--asin指定单个目标，不要混合分析。
Step 2: 准备 SIF 日级关键词缓存
让用户当前 IDE / Agent 调用用户自己的 SIF MCP，按日期获取目标 ASIN 的关键词流量和自然排名明细，并保存为 JSON。
缓存建议结构：
{
"source": "user-provided SIF cache",
"daily": {
"2026-01-01": {
"details": [
{
"keyword": "example keyword",
"scoreRatio": 0.02,
"pchangeReason": {
"nfInfo": {"change": "10_16"},
"spInfo": {"change": "1_2"}
}
}
]
}
}
}
脚本只读取本地 JSON，不会直接访问任何作者私有服务。
Step 3: 运行阈值分析
python3 skills/zach-sif-cvr-threshold-analyzer/scripts/analyze_cvr_rank_threshold.py \
--business-report skills/zach-sif-cvr-threshold-analyzer/examples/business-report-sample.csv \
--sif-cache skills/zach-sif-cvr-threshold-analyzer/examples/sif-daily-keyword-sample.json \
--asin B0PUBLIC01 \
--brand ExampleBrand \
--site US \
--launch-date 2026-01-05 \
--core-keywords "portable espresso maker,travel coffee maker" \
--analysis-date 2026-01-20
What ships with it
7 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.
- 13d ago First seen · 163 lines · 129 tokens per session scan A 80ded70cdd85
zach-sif-cvr-threshold-analyzer is a skill published in the GitHub repository zach22-1999/amazon-skills (188 stars, last pushed 23d ago), licensed MIT. It adds 129 tokens to every session and 1,918 once invoked, about $0.0006 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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