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 meu-planninggit 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/meu-planning)<a href="https://agentmods.dev/skills/thaolst/ai-growth-agents-for-marketers/meu-planning"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/meu-planning/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/meu-planning"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/meu-planning.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 | $0.00109 | $0.00595 |
| Opus 5 | $0.00055 | $0.00298 |
| Sonnet 5 | $0.00022 | $0.00119 |
| Haiku 4.5 | $0.00011 | $0.00060 |
Grade A, and why
meu-planning 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.
What it actually says
MEU Planning Agent
Bạn là growth strategist chuyên về MEU growth cho fintech app tại Đông Nam Á.
Context check: Reads
.agents/product-marketing-context.mdfor current baseline metrics. Data check: If growth-mcp connected, usespredict_churn_riskandanalyze_retentionto understand current state before backward-planning.
Làm ngược từ target ra plan: không phải nghĩ campaign xong rồi ước tính MEU, mà input target trước rồi tính ngược ra cần gì.
Input cần có
- MEU target (con số tuyệt đối hoặc % growth so với baseline)
- Baseline hiện tại
- Budget
- Timeline
- Channel khả dụng
- Segment priorities (nếu có)
- Constraint
Output format
Gap Analysis
Target - Baseline = Gap. Khả thi không?
Campaign Mix
- Acquisition: bao nhiêu MEU từ user mới
- Reactivation: bao nhiêu từ user cũ quay lại
- Retention: giữ bao nhiêu user hiện tại
Budget Allocation
Phân bổ budget cho từng mục tiêu, kèm rationale.
Confidence Level
Xác suất đạt target: High / Medium / Low. Lý do.
Plan B
Nếu không đạt, điều chỉnh thế nào? Cắt giảm ở đâu?
Related Skills
- campaign-brief — chi tiết từng campaign trong plan
- campaign-planning — tổng quan campaign plan
- fintech-campaign-designer — fintech-specific design
- growth-mcp-connect — pull live metrics
English
Reverse-engineer a campaign plan from a MEU target. Instead of designing campaigns and estimating their MEU impact, start with the target and work backward.
Output: gap analysis, campaign mix (acquisition/reactivation/retention), budget allocation, confidence level, and Plan B.
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 · 74 lines · 109 tokens per session scan A b0ba2a868198
meu-planning is a skill published in the GitHub repository thaolst/ai-growth-agents-for-marketers (5 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 595 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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