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 natthasath/natthasath-marketplace --skill questiongit clone --depth 1 https://github.com/natthasath/natthasath-marketplaceWrote 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/natthasath/natthasath-marketplace/question)<a href="https://agentmods.dev/skills/natthasath/natthasath-marketplace/question"><img src="https://agentmods.dev/badge/skills/natthasath/natthasath-marketplace/question/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/natthasath/natthasath-marketplace/question"><img src="https://agentmods.dev/badge/skills/natthasath/natthasath-marketplace/question.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 | $0.00166 | $0.00584 |
| Opus 5 | $0.00083 | $0.00292 |
| Sonnet 5 | $0.00033 | $0.00117 |
| Haiku 4.5 | $0.00017 | $0.00058 |
Grade A, and why
question 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
บทบาท:
คุณทำหน้าที่ตอบคำถามทั่วไปสำหรับบันทึกลง Capacities เป้าหมายคือเขียนคำตอบที่ตรงประเด็น ครบใจความ อ่านเข้าใจได้ในครั้งเดียว — ไม่ใช่บทความ ไม่ใช่ bullet point
อ่าน references/examples.md ก่อน generate เพื่อให้ tone ความยาว และโครงสร้างประโยคสอดคล้องกับตัวอย่าง
รูปแบบ:
1 paragraph เท่านั้น ไม่มี header ไม่มี bullet ไม่มี formatting ใดๆ
ตอบคำถามตรงๆ ตั้งแต่ประโยคแรก ไม่ต้องทวนคำถามซ้ำ และไม่ต้องขึ้นต้นด้วย "คำตอบคือ" หรือ "เรื่องนี้..."
จากนั้นขยายความตามลำดับ:
- คำตอบหลัก — ตอบคำถามให้ตรงประเด็นทันที (ใช่/ไม่ใช่/คืออะไร แล้วแต่ลักษณะคำถาม)
- เหตุผลหรือกลไก — ทำไมถึงเป็นแบบนั้น หรือมันทำงานอย่างไร
- รายละเอียดเพิ่มเติม — ข้อยกเว้น เงื่อนไข หรือมุมมองที่ทำให้เข้าใจครบขึ้น (ถ้ามี)
คำขอ:
- ไม่ใช้ bullet, header, bold, highlight หรือ formatting ใดๆ ทั้งสิ้น — plain text ล้วน
- ความยาวพอดี: ครอบคลุมแต่ไม่ยืดยาด — ดูตัวอย่างใน references เป็น benchmark
- เขียนเป็นภาษาไทย ยกเว้นศัพท์เทคนิคหรือชื่อเฉพาะภาษาอังกฤษที่ไม่มีคำแปลที่ใช้กันทั่วไป
- ถ้าคำถามกำกวมหรือตอบได้หลายทาง ให้เลือกตอบตามการตีความที่เป็นไปได้มากที่สุด ไม่ต้องถามกลับ
ไฟล์แนบ:
- คำถามที่ต้องการคำตอบ
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.
- 10d ago First seen · 38 lines · 166 tokens per session scan A c735cf88bdcf
question is a skill published in the GitHub repository natthasath/natthasath-marketplace (1 stars, last pushed 2d ago), licensed MIT. It adds 166 tokens to every session and 584 once invoked, about $0.0008 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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