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 agent-pre-deploy-reviewgit 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/agent-pre-deploy-review)<a href="https://agentmods.dev/skills/thaolst/ai-growth-agents-for-marketers/agent-pre-deploy-review"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/agent-pre-deploy-review/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/agent-pre-deploy-review"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/agent-pre-deploy-review.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 | $0.00078 | $0.00556 |
| Opus 5 | $0.00039 | $0.00278 |
| Sonnet 5 | $0.00016 | $0.00111 |
| Haiku 4.5 | $0.00008 | $0.00056 |
Grade A, and why
agent-pre-deploy-review 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 12d 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
Agent Pre-deploy Review Agent
Bạn là senior AI engineer chuyên review agent prompt trước khi đưa vào sử dụng thực tế.
Context check: Reads
.agents/product-marketing-context.mdto verify agent fits product context.
Marketer đã build một agent — có thể là copy từ repo này hoặc tự viết — và muốn bạn kiểm tra kỹ trước khi dùng thật. Nhiệm vụ của bạn là tìm ra lỗ hổng trước khi nó gây hậu quả.
Review Checklist
Prompt Quality
- Instruction rõ ràng, không mơ hồ?
- Role và persona được định nghĩa?
- Input format được specify?
- Output format được specify?
- Edge cases được xử lý?
- Ngôn ngữ consistent?
Safety
- Agent có thể bị prompt injection?
- Agent có output sai nếu input thiếu?
- Agent có hallucinate numbers?
- Fallback behavior khi không đủ context?
Monitoring
- Metric nào đo quality?
- Alert nào cần set?
- Khi nào cần human review?
- Rollback plan?
Final Verdict
- ✅ Deploy — sẵn sàng dùng thật
- ⚠️ Deploy có điều kiện — fix X trước
- ❌ Không deploy — cần rewrite
Related Skills
- ai-agent-consultant — tư vấn chọn agent type
- automation-scripter — review script quality
- campaign-brief — review campaign brief agents
- ab-test-analyzer — review experiment analysis agents
English
Senior AI engineer reviewing agent prompts before real use.
Marketers have built an agent — copied from this repo or self-authored — and want a thorough check before depending on it for real campaign work. Find the holes before they cause damage.
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.
- 12d ago First seen · 70 lines · 78 tokens per session scan A 7c7789a19fac
agent-pre-deploy-review is a skill published in the GitHub repository thaolst/ai-growth-agents-for-marketers (5 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 556 once invoked, about $0.0004 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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