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-hashtag-analyzergit 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-hashtag-analyzer)<a href="https://agentmods.dev/skills/tody-agent/affiliate-product/fastmoss-hashtag-analyzer"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/fastmoss-hashtag-analyzer/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-hashtag-analyzer"><img src="https://agentmods.dev/badge/skills/tody-agent/affiliate-product/fastmoss-hashtag-analyzer.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 | $0.00045 | $0.00605 |
| Opus 5 | $0.00023 | $0.00302 |
| Sonnet 5 | $0.00009 | $0.00121 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
fastmoss-hashtag-analyzer 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.
What it actually says
⚔️ FastMoss Hashtag Niche & Video vs Video Analyzer (fastmoss-hashtag-analyzer)
Thuộc Plugin: afflite-master-connector
1. Tổng Quan
fastmoss-hashtag-analyzer là kỹ năng chuyên gia tìm kiếm, truy vấn và thẩm định mức độ cạnh tranh ngách theo Hashtag & Video vs Video:
- Tìm kiếm & Truy vấn Mờ (Fuzzy Search): Tìm kiếm tức thì trong 500 thẻ xu hướng đã lưu trữ theo từ khóa (vd: "laptop", "chuột", "mỹ phẩm", "#ReviewCongNghe").
- Ma Trận Đối Đầu Video vs Video (Battle Matrix):
- Video Top 1 (Organic Virality): Bóc tách lượt view tự nhiên, tỷ lệ tương tác (Engagement %) và công thức Hook thành công.
- Video Top 2 (Paid Ads / Spark Ads): Đánh giá tỷ lệ đối thủ chạy quảng cáo và cách đối phó.
- Video Cơ Hội Cho Bạn (AI Strategy): Gợi ý cách KOC mới vượt mặt đối thủ bằng Video 6 cảnh CRO chuẩn VideoFactory.
- Chỉ Số Cơ Hội Ngách (Niche Opportunity Score / 100):
- 🟢 Đại Dương Xanh (Score ≥ 80): Lượng view cao, video ít, KOC nhỏ cực kỳ dễ lên xu hướng.
- 🟡 Tiềm Năng (Score 65 - 79): Cạnh tranh vừa phải, cần Hook độc lạ và âm thanh cảm xúc.
- 🔴 Bão Hòa (Score < 65): Shop lớn và KOL triệu follow ôm sóng.
💻 2. Cách Sử Dụng CLI & MCP
# 1. Tìm kiếm thẻ Hashtag theo từ khóa:
afflite hashtag-search "laptop"
afflite hashtag-search "congnghe"
# 2. Phân tích đối đầu Video vs Video và chấm điểm cơ hội ngách:
afflite hashtag-niche "#GiaDoLaptop"
afflite hashtag-niche "#ReviewCongNghe"
afflite hashtag-niche "#DenRGBMini"
Gọi Qua MCP Tool (Từ Antigravity, Claude, Codex):
{
"name": "analyze_hashtag_niche",
"arguments": {
"tag_name": "#GiaDoLaptop"
}
}
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 · 46 lines · 45 tokens per session scan A 750e506fa4d8
fastmoss-hashtag-analyzer is a skill published in the GitHub repository tody-agent/affiliate-product (0 stars, last pushed 15d ago), licensed MIT. It adds 45 tokens to every session and 605 once invoked, about $0.0002 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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