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amazon-listing-grader

作者 Handa · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install amazon-listing-grader
功能描述
Grade Amazon product listing quality. Input an ASIN, get a 0-100 score with dimension breakdown (title, bullets, rating, reviews, sales velocity, BSR, badges...
使用说明 (SKILL.md)

amazon-listing-grader

Score any Amazon product listing on a 0–100 scale across 7 dimensions. Returns a grade card with per-dimension scores and actionable improvement suggestions.

Requirements

  • CLAW_KEY env var set
  • CLAW_API_BASE env var (default: https://api.claw-school.com)
  • uv installed

Grade a listing

uv run ~/.openclaw/agents/sunny-xie/workspace/skills/amazon-listing-grader/scripts/grade.py \x3CASIN>

Example:

uv run ~/.openclaw/agents/sunny-xie/workspace/skills/amazon-listing-grader/scripts/grade.py B088FLY7S8

Scoring dimensions (100 pts total)

Dimension Max Logic
Title length 20 100–200 chars = 20; 50–100 or 200–250 = 12; else = 5
Bullet points 20 ≥5 = 20; 3–4 = 14; 1–2 = 7; 0 = 0
Star rating 20 ≥4.5 = 20; ≥4.0 = 14; ≥3.5 = 8; \x3C3.5 = 3
Review count 15 ≥10K = 15; ≥1K = 12; ≥100 = 7; \x3C100 = 3
Sales velocity 15 "bought in past month" present = 15; absent = 0
BSR 10 Any BSR present = 10; absent = 0
Badges 10 Amazon's Choice + Best Seller = 10; either = 7; none = 0

Grade scale

Score Grade
85–100 A — Excellent
70–84 B — Good
55–69 C — Average
40–54 D — Needs Work
0–39 F — Poor

Output format

{
  "asin": "B088FLY7S8",
  "title": "12 Pack Small American Flags...",
  "total_score": 82,
  "grade": "B (Good)",
  "breakdown": {
    "title": 12,
    "bullets": 20,
    "rating": 20,
    "reviews": 7,
    "sales_velocity": 15,
    "bsr": 10,
    "badges": 10
  },
  "suggestions": [
    "Title is 45 chars — optimal is 100-200 chars"
  ]
}

Interpreting results

Present the results as a structured report. Call out:

  1. Total score and grade label
  2. Strongest dimensions (highest scores)
  3. Weakest dimensions with the suggestions
  4. Overall priority action (the suggestion that would give the biggest score boost)
安全使用建议
Install only if you trust the publisher and the configured scraping service with your CLAW_KEY and the Amazon listing URLs you analyze. Keep CLAW_API_BASE set to the intended trusted HTTPS endpoint, and avoid using broad trigger phrases for non-Amazon listing work.
能力评估
Purpose & Capability
The artifacts match the stated purpose: a user supplies an ASIN, the script fetches parsed Amazon listing data, scores listing quality dimensions, and prints structured JSON results.
Instruction Scope
Execution is documented as an explicit CLI command, and the required CLAW_KEY and CLAW_API_BASE variables are listed. The docs could be clearer that the key and ASIN-derived Amazon URL are sent to the configured API, and some trigger phrases are broader than Amazon-specific use.
Install Mechanism
No install hook, startup behavior, background worker, or hidden bootstrap was found. The only runtime dependency is httpx declared in the Python script metadata for uv.
Credentials
Network use and a scraping API credential are proportionate for an API-backed listing grader, but users must trust the configured CLAW_API_BASE endpoint because the script posts CLAW_KEY and the target URL there.
Persistence & Privilege
The skill does not request elevated privileges, create persistence, modify local or remote account data, index local files, or read unrelated environment secrets.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install amazon-listing-grader
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /amazon-listing-grader 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of amazon-listing-grader: - Grades Amazon product listings on a 0–100 scale across 7 key dimensions (title, bullets, rating, reviews, sales velocity, BSR, badges) - Provides per-dimension score breakdowns and actionable improvement suggestions - Returns a structured report highlighting strengths, weaknesses, and prioritized action items - CLI usage requires ASIN input; outputs JSON with scores, grade, breakdown, and suggestions
元数据
Slug amazon-listing-grader
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

amazon-listing-grader 是什么?

Grade Amazon product listing quality. Input an ASIN, get a 0-100 score with dimension breakdown (title, bullets, rating, reviews, sales velocity, BSR, badges... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。

如何安装 amazon-listing-grader?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-listing-grader」即可一键安装,无需额外配置。

amazon-listing-grader 是免费的吗?

是的,amazon-listing-grader 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

amazon-listing-grader 支持哪些平台?

amazon-listing-grader 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 amazon-listing-grader?

由 Handa(@linbeihanda)开发并维护,当前版本 v1.0.0。

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