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 hospitalityos/hotel-ai-skills --skill sop-traininggit clone --depth 1 https://github.com/hospitalityos/hotel-ai-skillsWrote 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/hospitalityos/hotel-ai-skills/sop-training)<a href="https://agentmods.dev/skills/hospitalityos/hotel-ai-skills/sop-training"><img src="https://agentmods.dev/badge/skills/hospitalityos/hotel-ai-skills/sop-training/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/hospitalityos/hotel-ai-skills/sop-training"><img src="https://agentmods.dev/badge/skills/hospitalityos/hotel-ai-skills/sop-training.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 | $0.00057 | $0.00956 |
| Opus 5 | $0.00028 | $0.00478 |
| Sonnet 5 | $0.00011 | $0.00191 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
sop-training 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 116 lines · 57 tokens per session scan A 92bcfa573e43
sop-training is a skill published in the GitHub repository hospitalityos/hotel-ai-skills (11 stars, last pushed 26d ago), with no licence file. It adds 57 tokens to every session and 956 once invoked, about $0.0003 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.
Other skills, from other repositories
learning-and-development
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ask
Answer a question from a finished study, citing back into its evidence, and say plainly when the study does not cover it.
compare
Set two term tables against each other — same concept different term, same term different concept, and what each covers that the other lacks.
flashcard
สร้าง Flashcard website (LexiCard) สำหรับเรียนคำศัพท์ รองรับหลายภาษา พร้อมระบบ Flip Card, Quiz และการออกเสียง ใช้ skill นี้ทันทีเมื่อผู้ใช้ต้องการสร้าง flashcard หรือเรียนคำศัพท์ เช่น "สร้าง flashcard ภาษาญี่ปุ่น", "ทำ flashcard คำศัพท์อังกฤษหมวดอาหาร", "เรียนคำศัพท์ IT 20 คำ", "สร้างชุดคำศัพท์" เรียกใช้ผ่าน…
isolate
อธิบายคำศัพท์หรือเทคโนโลยีแบบเจาะลึกผ่าน 6 มิติ: TL;DR, Problem, Solution, Use Cases, Compare, Key Takeaway ช่วยให้เข้าใจ "ทำไมถึงมี" และ "ต่างจากอะไร" ไม่ใช่แค่ "คืออะไร" ใช้ skill นี้ทันทีเมื่อผู้ใช้พิมพ์ชื่อเทคโนโลยี เครื่องมือ หรือแนวคิดใดๆ เช่น "Docker", "Kafka", "CQRS", "อธิบาย Kubernetes หน่อย", "Redis ต่างจาก…
roleplay-english
จำลองสถานการณ์จริงเพื่อช่วยฝึกสนทนาและเขียนภาษาอังกฤษใน context ที่หลากหลาย ใช้ skill นี้ทันทีเมื่อผู้ใช้ต้องการฝึกสนทนาภาษาอังกฤษผ่านการจำลองสถานการณ์ เช่น "ซ้อมสัมภาษณ์งาน", "ฝึกพูดในที่ประชุม", "ฝึกคุยกับลูกค้าต่างชาติ", "ฝึก small talk" เรียกใช้ผ่าน /roleplay-english เท่านั้น — ไม่ auto-trigger จากบทสนทนา.