sealeap-hundun-amazon-competitor-scorecard-matrix SKILL.md skillA
sealeap-hundun-amazon-competitor-scorecard-matrix 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-hundun-amazon-competitor-scorecard-matrix@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/hundun/sealeap-hundun-amazon-competitor-scorecard-matrix/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260915.1f57a2a, committed Sep 15, 2026
- Size
- 6,668 bytes
- Repository stars
- 324
- License
- MIT
Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing. Use for 竞品数据该收集哪些维度、怎么判断一个爆款是不是靠广告砸出来的、怎么看历史降价识别冲量、选品评分表怎么搭. Do not use to justify entering a…
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 竞品多维度选品评分表 ## 目标 Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity weight, ad presence, organic-traffic share, landed cost and margin, and price-history-flagged promotion-inflated volume, to score candidate products instead of copying the single best-looking listing. ## 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。 - 来源给出的各维度重要性排序基于特定类目经验，实际权重需按目标类目重新判断，不能整表套用到所有品类。 - 评论数多但成交少代表是老链接、评论少但成交多代表是新起链接是来源的经验推断，实际情况还受平台评论展示规则与数据口径影响，需结合月销量与上架时间等其他信号交叉验证。 - 广告投放力度与花费均为第三方工具的估算或前台观测，不是平台一方数据，应标注为估算并结合自身广告后台数据校准。 - 历史价格骤降或评论异常波动只是需要进一步核实的风险信号，不能仅凭这一项就断定对照产品存在违规操作。 ## 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 …
Read the whole file at its exact version.
How to install
mdr add xjli360/sealeap-amazon-skills/sealeap-hundun-amazon-competitor-scorecard-matrix@sha256:4f0de6cd370ce9b2The 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_g3pgayse6nhyoud3)
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 (6668 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_g3pgayse6nhyoud3 GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-hundun-amazon-competitor-scorecard-matrix GET https://markdownregistry.com/api/v1/blob/4f0de6cd370ce9b269a5426af988c05b6b9dbc5b411f703e777bf5f381e468d0
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.