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 listingbureau/listingbureau-mcp --skill amazon-product-rankinggit clone --depth 1 https://github.com/listingbureau/listingbureau-mcpWrote 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/listingbureau/listingbureau-mcp/amazon-product-ranking)<a href="https://agentmods.dev/skills/listingbureau/listingbureau-mcp/amazon-product-ranking"><img src="https://agentmods.dev/badge/skills/listingbureau/listingbureau-mcp/amazon-product-ranking/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/listingbureau/listingbureau-mcp/amazon-product-ranking"><img src="https://agentmods.dev/badge/skills/listingbureau/listingbureau-mcp/amazon-product-ranking.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 | $0.00144 | $0.02252 |
| Opus 5 | $0.00072 | $0.01126 |
| Sonnet 5 | $0.00029 | $0.00450 |
| Haiku 4.5 | $0.00014 | $0.00225 |
Grade A, and why
amazon-product-ranking 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 12d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Needs
| Context | Required | What it provides |
|---|---|---|
listingbureau-mcp |
Yes | Campaign creation, scheduling, cost, wallet, position tracking |
mcp-server-amazon |
No | Enhanced product data scraping (falls back to WebFetch) |
No brand_context needed. This skill works for any Amazon seller.
Dependencies
| Skill | Required? | What it provides | Without it |
|---|---|---|---|
| None | - | - | Fully self-contained |
Methodology
Entry Point Detection
Detect intent from how the user invokes the skill:
- Full guided flow (default): User provides ASIN + keyword (or ASIN only). Run all 9 phases.
- Quick-start: User provides ASIN + keyword + explicit volumes/profile/duration. Run Phase 0a-0b (connection + existing campaign check), then skip to Phase 5 confirmation + Phase 6-8.
- Cost-only: User asks about cost or estimates without asking to execute. Run Phases 0-6, stop before execution.
Detection: if the user provides explicit SFB count + profile name, treat as quick-start. If they mention "cost", "estimate", "how much", "price" without "run" or "start" or "execute", treat as cost-only. Otherwise, full flow.
Phase 0: Setup, Existing Campaign Check & Inputs
0a. Connection check: Call lb_account_get.
- If connected: show account status + wallet balance. Proceed.
- If fails: guide signup at listingbureau.com, show MCP install command:
claude mcp add listingbureau -e LB_API_KEY=<key> -- npx -y listingbureau-mcp. Stop.
0b. Re-invocation check: If ASIN provided, call lb_projects_list. Check for active projects matching the ASIN. If found, offer choices: check progress, add keyword, adjust volume, or start new campaign.
0c. Collect inputs: ASIN (required), region (default: US), target keyword(s). If user provides ASIN without keywords, run keyword suggestion mode: scrape product page, extract candidates from title/bullets, WebSearch for related terms, present 5-10 suggestions.
What ships with it
8 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.
- references/a10-algorithm.md 6.3 KB
- references/category-profiles.md 4.6 KB
- references/competitive-assessment.md 4.9 KB
- references/cost-and-roi.md 7.0 KB
- references/funnel-ratios.md 6.4 KB
- references/marketplace-strategies.md 4.8 KB
- references/ramp-strategies.md 6.6 KB
- references/troubleshooting.md 7.2 KB
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.
- 12d ago First seen · 166 lines · 144 tokens per session scan A 13932246ef99
amazon-product-ranking is a skill published in the GitHub repository listingbureau/listingbureau-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 144 tokens to every session and 2,252 once invoked, about $0.0007 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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