sealeap-taotie-amazon-keyword-driven-niche-product-screening SKILL.md skillA
sealeap-taotie-amazon-keyword-driven-niche-product-screening from xjli360/sealeap-amazon-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xjli360/sealeap-amazon-skills/sealeap-taotie-amazon-keyword-driven-niche-product-screening@git:20260915.1f57a2aPins git:20260915.1f57a2a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xjli360/sealeap-amazon-skills
- Path
amazon-skills/bilibili/taotie/sealeap-taotie-amazon-keyword-driven-niche-product-screening/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260915.1f57a2a, committed Sep 15, 2026
- Size
- 6,760 bytes
- Repository stars
- 324
- License
- MIT
Screen product candidates starting from a seed keyword: read search-trend shape, competitor launch age and growth speed, review count and rating, then segment by attribute, audience and use case using variation and high-frequency-word signals, check historical price ranges and listing-count supply ratios, and log each candidate into a comparable selection table. Use for 新手怎么选品、关键词选品、细分市场怎么找、看趋势图怎么判断、上架时间和增长速度、供需比怎么用、历史价格怎么看、选品表怎么设计. Do not use to output a GO decision without the unit-economics…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Amazon 关键词驱动的细分市场选品筛选 ## 目标 Screen product candidates starting from a seed keyword: read search-trend shape, competitor launch age and growth speed, review count and rating, then segment by attribute, audience and use case using variation and high-frequency-word signals, check historical price ranges and listing-count supply ratios, and log each candidate into a comparable selection table. ## 不可妥协的边界 - 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。 - 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。 - 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。 - 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。 - 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。 - 「半年内上架并快速增长的品新手都有机会」「越早发现成功率越高」是来源经验判断，需用本类目近一年新品的存活与增长数据校准。 - 商品数/供需比、增长率、评论数等数字都是第三方估算，标为 ESTIMATE；不同工具口径差异大，不得写成事实，也不得设固定阈值。 - 来源举例的具体品类、价格与销量不转译；工具推广与分销邀约等内容不采纳。 - 变体异常高价可能是断货或临时策略，「高价空缺 = 机会」只是待验证假设，需看同行与历史价格。 ## 先判断任务模式 1. **诊断**：读取现状、证据和缺口，不生成线上写入动作。 2. **方案草案**：输出可审核的结构、参数范围、实验和回退值。 3. **执行准备**：只生成待批准变更表或 API/控制台操作草案。 4. **已批准执行**：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。 用户未指定时采用“诊断”。 ## 开始前要拿到 - 目标 marketplace、类目、价格带、上架时间与运营模式 - 候选品与同购买意图可比样本的销量、评论、价格和上架时间 - 关键词需求、历史趋势、广告依赖、同款密度和品牌集中度 - 采购、头程、平台费、退货、仓储、交期和合规/IP 基础信息 …
Read the whole file at its exact version.
How to install
mdr add xjli360/sealeap-amazon-skills/sealeap-taotie-amazon-keyword-driven-niche-product-screening@sha256:9bd5d33a379a5c54The line at the top of this page pins the label git:20260915.1f57a2a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_42nvtljsf3dhjwnf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6760 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
xjli360/sealeap-amazon-skills · 324 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_42nvtljsf3dhjwnf GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-taotie-amazon-keyword-driven-niche-product-screening GET https://markdownregistry.com/api/v1/blob/9bd5d33a379a5c54ddc0f7c49bf0d635d7c67e865b50f9ee4e1c6ba89f0e4826
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.