Agent skill

Sealeap Hundun Amazon Trend Scout Sourcing Validation

by xjli360 in xjli360/sealeap-amazon-skills

Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic…

MITAuto-check passedWriting & Content

Install Sealeap Hundun Amazon Trend Scout Sourcing Validation

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-trend-scout-sourcing-validation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-trend-scout-sourcing-validation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-trend-scout-sourcing-validation .claude/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sealeap-hundun-amazon-trend-scout-sourcing-validation
GitHub stars
251
Token cost
~836 tokens
SKILL.md length
147 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic…

  • Works in 4 steps: 诊断:读取现状、证据和缺口,不生成线上写入动作。 → 方案草案:输出可审核的结构、参数范围、实验和回退值。 → 执行准备:只生成待批准变更表或 API/控制台操作草案。 → …
  • 从社媒内容找选品灵感、怎么判断一个趋势品还能不能进、新品友好度怎么看、去产地面谈能不能压价、小件高利润品怎么选
  • SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Sealeap Hundun Amazon Trend Scout Sourcing Validation is an agent skill from xjli360/sealeap-amazon-skills. Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic concentration before committing, then negotiate landed cost in person at the sourcing hub rather than relying solely on online quotes. Use for 从社媒内容找选品灵感、怎么判断一个趋势品还能不能进、新品友好度怎么看、去产地面谈能不能压价、小件高利润品怎么选. Do not use to justify entering a trend already dominated by large sellers with long-tenured listings, or to adopt…

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).

It sits in Writing & Content, covering Social media posts and Product launch strategy. It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.

When your agent uses it

  • 从社媒内容找选品灵感、怎么判断一个趋势品还能不能进、新品友好度怎么看、去产地面谈能不能压价、小件高利润品怎么选
  • Justify entering a trend already dominated by large sellers with long-tenured listings
  • Adopt fake-order promotion as part of the launch plan

Example prompts

  • “/sealeap-hundun-amazon-trend-scout-sourcing-validation”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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。

What it can do on your machine

Read from SKILL.md and the folder at commit 497d4b8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sealeap Hundun Amazon Trend Scout Sourcing Validation loads about 836 tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 153 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~153
When it runs · the whole SKILL.md, loaded when a task matches
~836
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 147 words, ~836 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-hundun-amazon-trend-scout-sourcing-validation
description
Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic concentration before committing, then negotiate landed cost in person at the sourcing hub rather than relying solely on online quotes. Use for 从社媒内容找选品灵感、怎么判断一个趋势品还能不能进、新品友好度怎么看、去产地面谈能不能压价、小件高利润品怎么选. Do not use to justify entering a trend already dominated by large sellers with long-tenured listings, or to adopt fake-order promotion as part of the launch plan.

Amazon 社媒趋势选品与货源验证

目标

Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic concentration before committing, then negotiate landed cost in person at the sourcing hub rather than relying solely on online quotes.

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。
  • 来源分享的具体采购单价、利润区间与投资回报比为特定案例的历史数据,不同产品与时期差异很大,不作为通用参考值,需按当前采购与费用重新测算。
  • 来源把找人刷单列为推广手段之一,这属于刷单/虚假交易,不采用;产品起量应通过合规广告与自然搜索验证,不使用虚假订单拉动排名。
  • 社媒带火的趋势品生命周期不确定,来源给出的具体周期为个案观察;应把生命周期视为待验证假设,用自身上架后的销量与搜索趋势数据持续复核,并提前设定清库存/降价撤退的触发条件。
  • 线下面谈压价的效果因供应商与地区而异,属经验判断;仍需通过样品验货与小批量试单验证质量稳定性,不能仅凭一次面谈报价就放大采购规模。

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

缺失项必须标为 NEEDS_EVIDENCE;不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。

工作流

先读取 references/playbook.md,确认该方法适用于当前对象。按以下顺序执行:

  1. 从目标市场的头部社媒内容(穿搭、家居、生活方式类)评论区反向挖掘选品线索:找评论中反复出现“这是什么/哪里买”的高互动内容,记录对应的产品类型与关键词,作为需求真实存在的初筛信号。
  2. 用三项指标判断市场是否还能进入:同类关键词下卖家数量与整体流量规模是否过大、市场里新上架链接的占比与近期上新速度、是否已有明显的大卖家垄断该词;三项都通过才进入下一步。
  3. 到境内批发市场/产地现场比价而非只依赖线上报价:线上询价通常拿到的是统一对外报价,当面沟通更容易拿到分级报价与真实的材质/工艺差异说明;长期做同一品类时,建立线下供应商关系比持续线上比价效率更高。
  4. 核算最小可行启动规模:按当前汇率与目标站点费用结构测算采购成本、头程运费、平台佣金后的单件预估毛利与所需启动资金,判断是否在个人卖家可承受的资金和体积重范围内。
  5. 用自然流量占比作为推广难度的先行指标:若同类目对照产品明显以自然搜索获取多数订单、广告依赖度低,说明产品本身需求匹配度高;若同类对照产品高度依赖广告仍出单有限,需重新评估选品而不是加大广告预算。
  6. 明确该类趋势品的生命周期假设:由社媒内容带热的产品通常有时效性,一旦相关内容热度下降,搜索量可能同步下滑;上线前就设定好预期运营周期与库存节奏,避免按长青款的备货逻辑囤货。

最后做数据充分性检查,并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足,状态写 HOLD。

第三方 MCP 数据

仅在自有数据不足且当前任务确实需要外部证据时,读取 references/mcp-data-plan.md,再使用 scripts/mcp_research.py。本 Skill 的外部取数目的:获取目标关键词的卖家数量、上新时间分布与自然流量占比等公开代理数据,用于新品友好度与竞争密度核查。

  • 先 doctor,再 search-tools 和 describe;工具名及参数以实时 tools/list 与 inputSchema 为准。
  • Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
  • tools/call 或 Actor 可能计费;先展示 Provider、工具、无密钥业务参数、预计成本与输出位置,核对已有授权覆盖后才加 --allow-cost;该标志不是费用上限。

必须交付的结果

  • 社媒趋势选品线索清单(来源评论区高频诉求)
  • 新品友好度与竞争密度核查记录(卖家数/新品占比/垄断情况)
  • 产地现场比价与供应商分级报价记录
  • 启动资金与单件毛利测算表
  • 产品生命周期假设与库存节奏计划
  • 数据范围、来源、采集时间、样本与限制。
  • 关键假设、待补证据、风险和不可确定项。
  • 若有动作:对象、旧值、新值、预期、停止条件、回退值与审批状态。

方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP;如已执行,另行记录实际结果及回读证据。未得到明确批准时,不得声称已修改线上对象。

© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in amazon-skills/bilibili/hundun/sealeap-hundun-amazon-trend-scout-sourcing-validation of xjli360/sealeap-amazon-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/mcp-data-plan.md
  • references/playbook.md
  • scripts/mcp_research.py

Open the folder on GitHubat commit 497d4b8

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App Promo Materialsglifxyz/glif-mcp-server213—~1.7kAutomated safety check: PassMIT
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Questions about Sealeap Hundun Amazon Trend Scout Sourcing Validation

What does Sealeap Hundun Amazon Trend Scout Sourcing Validation do?

Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic…. Sealeap Hundun Amazon Trend Scout Sourcing Validation is an agent skill from xjli360/sealeap-amazon-skills. Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic concentration before committing, then negotiate landed cost in person at the sourcing hub rather than relying solely on online quotes.

When should I use Sealeap Hundun Amazon Trend Scout Sourcing Validation?

Sealeap Hundun Amazon Trend Scout Sourcing Validation fits situations like: 从社媒内容找选品灵感、怎么判断一个趋势品还能不能进、新品友好度怎么看、去产地面谈能不能压价、小件高利润品怎么选; justify entering a trend already dominated by large sellers with long-tenured listings; adopt fake-order promotion as part of the launch plan.

How do I install Sealeap Hundun Amazon Trend Scout Sourcing Validation in Claude Code?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-trend-scout-sourcing-validation -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-trend-scout-sourcing-validation in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation in your project. Claude Code loads it when a task matches its description.

How do I install Sealeap Hundun Amazon Trend Scout Sourcing Validation in Codex?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-trend-scout-sourcing-validation -a codex`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-trend-scout-sourcing-validation in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation in your project. Codex loads it when a task matches its description.

Can I use Sealeap Hundun Amazon Trend Scout Sourcing Validation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-trend-scout-sourcing-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation, .gemini/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation, .github/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation and .opencode/skills/sealeap-hundun-amazon-trend-scout-sourcing-validation in your project.

What does Sealeap Hundun Amazon Trend Scout Sourcing Validation need to run?

Going by SKILL.md and its folder, Sealeap Hundun Amazon Trend Scout Sourcing Validation needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Hundun Amazon Trend Scout Sourcing Validation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sealeap Hundun Amazon Trend Scout Sourcing Validation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sealeap Hundun Amazon Trend Scout Sourcing Validation use?

Sealeap Hundun Amazon Trend Scout Sourcing Validation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sealeap Hundun Amazon Trend Scout Sourcing Validation use?

About 836 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Hundun Amazon Trend Scout Sourcing Validation?

Skills that share tags, products or a category with Sealeap Hundun Amazon Trend Scout Sourcing Validation: X Research (trailofbits/skills-curated, 513 stars), Linkedin (manojbajaj95/claude-gtm-plugin, 105 stars), App Promo Materials (glifxyz/glif-mcp-server, 213 stars) and Producthunt Launch Kit (Varnan-Tech/opendirectory, 674 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Hundun Amazon Trend Scout Sourcing Validation?

xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.

Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.