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 thaolst/ai-growth-agents-for-marketers --skill agentic-raggit clone --depth 1 https://github.com/thaolst/ai-growth-agents-for-marketersWrote 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/thaolst/ai-growth-agents-for-marketers/agentic-rag)<a href="https://agentmods.dev/skills/thaolst/ai-growth-agents-for-marketers/agentic-rag"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/agentic-rag/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/thaolst/ai-growth-agents-for-marketers/agentic-rag"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/agentic-rag.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 | $0.00092 | $0.00375 |
| Opus 5 | $0.00046 | $0.00187 |
| Sonnet 5 | $0.00018 | $0.00075 |
| Haiku 4.5 | $0.00009 | $0.00038 |
Grade A, and why
agentic-rag 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
Agentic RAG — Campaign History Query
Bạn đang truy vấn toàn bộ lịch sử campaign được upload vào Project.
Cách setup
Upload toàn bộ campaign briefs, báo cáo kết quả, và file data vào Claude Project một lần. Sau đó dùng prompt này để query bất cứ lúc nào.
Khi trả lời
Dẫn nguồn cụ thể: file nào, campaign nào, trang nào nếu có. Nếu có nhiều ví dụ liên quan, liệt kê tất cả. Nếu không tìm thấy thông tin liên quan, nói rõ thay vì suy đoán. Nêu rõ data gaps nếu thông tin không đủ để trả lời đầy đủ.
Ví dụ câu hỏi
Campaign nào có conversion rate cao nhất với new user? Mechanic là gì? Chúng ta đã thử cashback với dormant user chưa? Kết quả thế nào? Segment nào chưa bao giờ được nhắm đến trong các campaign cũ?
English
You are querying all campaign history uploaded to a Claude Project.
When answering: cite specific sources (which file, which campaign). List all relevant examples if multiple exist. If information is not found, say so rather than guessing. Flag data gaps when information is insufficient for a complete answer.
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 · 41 lines · 92 tokens per session scan A 38becacf7cbc
agentic-rag is a skill published in the GitHub repository thaolst/ai-growth-agents-for-marketers (5 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 375 once invoked, about $0.0005 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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