Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DedeGroup/listinggood-skills --skill listinggood-amazon-listing-optimizergit clone --depth 1 https://github.com/DedeGroup/listinggood-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-amazon-listing-optimizer)<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-amazon-listing-optimizer"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-listing-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-amazon-listing-optimizer"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-listing-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00198 | $0.01391 |
| Opus 5 | $0.00099 | $0.00696 |
| Sonnet 5 | $0.00040 | $0.00278 |
| Haiku 4.5 | $0.00020 | $0.00139 |
Grade A, and why
listinggood-amazon-listing-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
亚马逊 Listing 优化助手 — AI 驱动的高转化 Listing 创作
Generate conversion-optimized Amazon listings (title + bullet points + product description) tailored to category, marketplace, and brand voice.
When to Use
Trigger when the user asks to:
- Write or create an Amazon product listing
- Optimize an existing listing for better ranking/conversion
- Generate titles, bullet points, or descriptions for Amazon
- Adapt a listing across marketplaces (US → DE/UK/JP/etc.)
- Apply A9/A10 algorithm best practices to listing content
Workflow
Step 1: Gather Product Information
Before writing, collect these essentials from the user (ask if not provided):
| Field | Required | Notes |
|---|---|---|
| Product name / what it is | ✅ | Core identity |
| Key features (3–8) | ✅ | Differentiators |
| Target marketplace | ✅ | US, DE, UK, JP, etc. (affects character limits & style) |
| Category | ✅ | Apparel, Electronics, Home, Beauty, etc. |
| Brand name | Optional | For title branding |
| Target audience | Optional | Who buys this and why |
| Existing listing (if optimizing) | Optional | Current text to improve |
| Keywords to include | Optional | SEO targets the user wants |
| Tone/voice | Optional | Premium, casual, technical, playful |
If the user provides incomplete info, proceed with reasonable assumptions and note them.
Step 2: Compose the Listing
Follow marketplace-specific rules below. Always read references/listing-rules.md for detailed character limits and algorithm guidance.
2.1 Title Composition
Structure formula: Brand + Model/Line + Key Feature 1 + Key Feature 2 + Target Audience/Use Case + Size/Color/Variation
Rules:
- US: max 200 characters (aim for 150–180 for mobile)
- DE/UK/EU: max 200 characters
- JP: max 250 characters
- Capitalize first letter of each word (standard title case)
- Do NOT use ALL CAPS for entire words (Amazon TOS violation)
- Include top 2–3 natural keywords without stuffing
- Put most important info in first ~80 chars (mobile cutoff)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 134 lines · 198 tokens per session scan A 6d5afb4ff6d8
listinggood-amazon-listing-optimizer is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 6d ago), licensed MIT. It adds 198 tokens to every session and 1,391 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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