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 tody-agent/affiliate-product --skill fastmoss-benchmarkgit clone --depth 1 https://github.com/tody-agent/affiliate-productWrote 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/tody-agent/affiliate-product/fastmoss-benchmark)<a href="https://agentmods.dev/skills/tody-agent/affiliate-product/fastmoss-benchmark"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/fastmoss-benchmark/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/tody-agent/affiliate-product/fastmoss-benchmark"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/fastmoss-benchmark.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 | $0.00053 | $0.01680 |
| Opus 5 | $0.00026 | $0.00840 |
| Sonnet 5 | $0.00011 | $0.00336 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
fastmoss-benchmark 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 10d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📈 FastMoss Competitor Video & Market Benchmark (fastmoss-benchmark)
Thuộc Plugin: afflite-master-connector
1. Tổng Quan & Vai Trò
fastmoss-benchmark là kỹ năng chuyên gia thu thập, phân tích và khai thác dữ liệu tình báo đối thủ từ nền tảng FastMoss (chuyên trang phân tích dữ liệu TikTok Shop hàng đầu thế giới), lưu trữ hoàn toàn độc lập trong data/fastmoss_products.db:
- Kho Video Bán Hàng 28 Ngày (Top Revenue Videos):
- Trích xuất chính xác URL video TikTok thực tế, tác giả KOC (@username, followers).
- Doanh số bán ra (28 ngày qua), doanh thu thực tế (28 ngày qua).
- Chi phí chi tiêu quảng cáo (Ad Spend 28 ngày) và chỉ số hiệu quả hoàn vốn quảng cáo (ROAS 28 ngày).
- Lượt xem (Plays), Lượt thích (Likes), Lượt bình luận (Comments), Tỷ lệ tương tác (Engagement Rate %).
- Thời gian đăng tải và Bóc tách công thức Hook mở đầu để nạp vào AI Copywriter.
- Thẩm Định Độc Quyền & Phân Bổ KOC (Affiliate Viability):
- Phân tích xem chính Shop có tự livestream/tự làm video chiếm hết đơn không (
Self-selling revenue share). - Đo lường mức độ tập trung doanh thu ở Top 3 KOL lớn (
Top KOC concentration ratio). - Đếm số lượng KOC vừa và nhỏ vẫn kiếm được đơn hàng đều đặn (
Long-tail creators).
- Phân tích xem chính Shop có tự livestream/tự làm video chiếm hết đơn không (
- Phân Tích Mẫu Mã SKU Bán Chạy (SKU Volume Share):
- Xác định chính xác biến thể (màu sắc, combo, kích thước) nào đóng góp >50% doanh số để AI đưa làm tâm điểm trong Scene 1 & 3 của VideoFactory.
- Mạng Lưới Đồ Thị Sản Phẩm Mua Kèm (Related Graph Network):
- Thiết lập đồ thị sản phẩm liên quan và điểm tương quan (%) để gợi ý combo cross-sell / up-sell.
🎯 2. Khi Nào Kích Hoạt Kỹ Năng (Triggers)
- Khi người dùng dán bất kỳ link FastMoss nào:
https://www.fastmoss.com/vi/e-commerce/detail/...hoặchttps://www.fastmoss.com/vi/e-commerce/search?.... - Khi người dùng yêu cầu:
- "Phân tích đối thủ trên FastMoss cho link này"
- "Tìm các video bán chạy nhất và câu hook của sản phẩm này trên FastMoss"
- "Xem chỉ số quảng cáo và ROAS của các video đối thủ"
- "Kiểm tra xem sản phẩm này shop có tự bán hay chia cho KOC làm affiliate"
- "Mẫu mã nào của sản phẩm này bán chạy nhất trên TikTok Shop"
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.
- 10d ago First seen · 108 lines · 53 tokens per session scan A f49388f52817
fastmoss-benchmark is a skill published in the GitHub repository tody-agent/affiliate-product (0 stars, last pushed 15d ago), licensed MIT. It adds 53 tokens to every session and 1,680 once invoked, about $0.0003 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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