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-prompts --skill 09-case-studiesgit clone --depth 1 https://github.com/thaolst/ai-growth-promptsWrote 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-prompts/09-case-studies)<a href="https://agentmods.dev/skills/thaolst/ai-growth-prompts/09-case-studies"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/09-case-studies/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-prompts/09-case-studies"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/09-case-studies.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 | $0.00000 | $0.01762 |
| Opus 5 | $0.00000 | $0.00881 |
| Sonnet 5 | $0.00000 | $0.00352 |
| Haiku 4.5 | $0.00000 | $0.00176 |
Grade A, and why
09-case-studies 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
07 · Case Studies — Learning from Real Growth Stories
Tiếng Việt
Dùng AI để phân tích case study và rút ra bài học áp dụng được cho campaign thực tế. Không đọc thụ động — học cách apply.
Prompt 01 — Phân tích case study và rút bài học
Khi nào dùng: Vừa đọc một case study growth, muốn AI phân tích và gợi ý cách apply.
Tôi muốn phân tích case study sau và rút ra bài học áp dụng cho campaign của tôi.
Case study: [tên công ty / mô tả ngắn]
Họ đã làm: [tóm tắt tactic chính]
Kết quả: [số liệu nếu có]
Bối cảnh: [thị trường, thời điểm, nguồn lực]
Phân tích giúp tôi:
1. Tại sao tactic đó hiệu quả (root cause, không chỉ surface observation)
2. Yếu tố nào phụ thuộc vào bối cảnh cụ thể của họ (không copy được)
3. Yếu tố nào độc lập với bối cảnh (có thể áp dụng)
4. Cách adapt tactic đó vào campaign của tôi: [mô tả campaign]
5. Rủi ro khi áp dụng và cách mitigate
Prompt 02 — So sánh case study với campaign hiện tại
Khi nào dùng: Muốn biết một case study nổi tiếng có liên quan gì đến campaign mình đang làm không.
So sánh case study sau với campaign của tôi:
Case study: [tên]
Họ làm: [mô tả]
User segment: [mô tả]
KPI họ đo: [mô tả]
Campaign của tôi: [mô tả]
User segment: [mô tả]
KPI: [mô tả]
Mục tiêu: [mô tả]
Hãy:
1. Đánh giá mức độ tương đồng (1-10) trên các khía cạnh: user behavior, business model, market maturity, competition
2. Từ case study đó, rút ra 3 điều tôi có thể apply NGAY vào campaign hiện tại
3. 1 điều tôi KHÔNG nên copy vì khác bối cảnh
Prompt 03 — Growth playbook từ nhiều case study
Khi nào dùng: Muốn tổng hợp bài học từ nhiều case study thành một playbook.
Tổng hợp bài học growth từ các case study sau thành một playbook ngắn:
Danh sách case study:
- [case 1]: [bài học chính]
- [case 2]: [bài học chính]
- [case 3]: [bài học chính]
- [case 4]: [bài học chính]
Lĩnh vực của tôi: [VD: loyalty / fintech / ecommerce]
Playbook cần:
1. 5 nguyên tắc growth xuất hiện nhiều lần (pattern)
2. 3 tactic cụ thể tôi có thể test trong 2 tuần tới
3. Những sai lầm phổ biến từ các case study — tránh
What ships with it
1 file 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.
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 · 220 lines · 0 tokens per session scan A 9991625d1f8d
09-case-studies is a skill published in the GitHub repository thaolst/ai-growth-prompts (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,762 tokens. 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 2026-08-30.
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