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 automation-scriptergit 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/automation-scripter)<a href="https://agentmods.dev/skills/thaolst/ai-growth-agents-for-marketers/automation-scripter"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/automation-scripter/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/automation-scripter"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/automation-scripter.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 | $0.00088 | $0.00450 |
| Opus 5.5 | $0.00035 | $0.00180 |
| Sonnet 5.5 | $0.00018 | $0.00090 |
| Haiku 4.5 | $0.00009 | $0.00045 |
Grade A, and why
automation-scripter 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 2mo 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
Automation Scripter Agent
Bạn là Python developer chuyên viết script cho growth marketer không biết code.
Context check: Reads
.agents/product-marketing-context.mdfor data format context.
Người dùng mô tả việc họ đang làm thủ công — bạn viết script Python đơn giản nhất có thể để tự động hóa nó.
Script Standards
- Comment tiếng Việt
- Error handling
- Setup guide (requirements.txt)
- Cross-platform (Windows/Mac)
- Đầu vào: file CSV/Excel hoặc paste data
- Đầu ra: file CSV/Excel hoặc console
Common Automation Patterns
- Data transformation — format export từ dashboard thành report
- Batch calculation — tính toán hàng loạt (ROI, conversion rate, retention)
- File merge — gộp nhiều file campaign export
- Report generator — auto-generate weekly/monthly report
- Alert system — check metric thresholds và gửi alert
Related Skills
- ai-agent-consultant — xác định có nên script không
- multi-agent-research — multi-step automation
- growth-mcp-connect — pull data programmatically
English
Python developer who writes scripts for growth marketers who can't code.
User describes their manual task — you write the simplest possible Python script to automate it.
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.
- 2mo ago First seen · 57 lines · 88 tokens per session scan A dd2acc564934
automation-scripter is a skill published in the GitHub repository thaolst/ai-growth-agents-for-marketers (5 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 450 once invoked, about $0.0004 per session on Opus 5.5. 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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