sealeap-hundun-amazon-auto-campaign-bid-lifecycle SKILL.md skillA

sealeap-hundun-amazon-auto-campaign-bid-lifecycle from xjli360/sealeap-amazon-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add xjli360/sealeap-amazon-skills/sealeap-hundun-amazon-auto-campaign-bid-lifecycle@git:20260915.1f57a2a

Pins 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/hundun/sealeap-hundun-amazon-auto-campaign-bid-lifecycle/SKILL.md
Versions recorded
1
Latest version
git:20260915.1f57a2a, committed Sep 15, 2026
Size
7,598 bytes
Repository stars
324
License
MIT

Structure an automatic Sponsored Products campaign with a naming and portfolio convention that scales across many products, then match its bid strategy — dynamic up-and-down, fixed, or dynamic-down-only — to the listing's lifecycle stage (new, growing, mature) using observed CPC ranges and organic-share trends as evidence, deferring negative keywords and negative product targeting until enough real search-term and click data exists. The stage-to-bid-strategy mapping and any organic-rank-lift…

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 自动广告竞价阶段与否定词

## 目标

Structure an automatic Sponsored Products campaign with a naming and portfolio convention that scales across many products, then match its bid strategy — dynamic up-and-down, fixed, or dynamic-down-only — to the listing's lifecycle stage (new, growing, mature) using observed CPC ranges and organic-share trends as evidence, deferring negative keywords and negative product targeting until enough real search-term and click data exists. The stage-to-bid-strategy mapping and any organic-rank-lift effect from sustained ad placement are treated as account-level hypotheses, not guaranteed platform mechanics.

## 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。
- 竞价策略与产品阶段的对应关系(新品期动态、成长期固定、成熟期只降)是来源账户内观察到的经验模式,不是所有类目/竞争强度下都适用,需要以当前账户实际测试结果为准。
- “持续稳定占据某关键词广告位会带动自然排名上升”是待验证的算法假设,不能作为确定性因果结论对待,只能作为观察现象持续跟踪。
- 日预算的自然月合计上限、否定商品的判断阈值等具体数值均为来源经验值,需要用当前账户的实际数据重新校准。
- 否定词组存在误伤相关搜索词的风险,使用前应先看清该词组会覆盖哪些相邻词,避免过度否定导致有效流量被一并屏蔽。

## 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。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xjli360/sealeap-amazon-skills/sealeap-hundun-amazon-auto-campaign-bid-lifecycle@sha256:b2f9dc307b40152c

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_e54bdo2macgl7hcm.svg)](https://markdownregistry.com/a/art_e54bdo2macgl7hcm)

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.

versioncommittedcommitsizeaudit
git:20260915.1f57a2a latest2026-09-15 1f57a2a 7,598 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7598 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

GitHub

xjli360/sealeap-amazon-skills · 324 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_e54bdo2macgl7hcm
GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-hundun-amazon-auto-campaign-bid-lifecycle
GET https://markdownregistry.com/api/v1/blob/b2f9dc307b40152c04f3abb74ab3fec3ac14afb23ebf5332e1116d63f0d6acad

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.

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