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 oujingzhou/openmozi --skill greetinggit clone --depth 1 https://github.com/oujingzhou/openmoziWrote 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/oujingzhou/openmozi/greeting)<a href="https://agentmods.dev/skills/oujingzhou/openmozi/greeting"><img src="https://agentmods.dev/badge/skills/oujingzhou/openmozi/greeting/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/oujingzhou/openmozi/greeting"><img src="https://agentmods.dev/badge/skills/oujingzhou/openmozi/greeting.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 | $0.00014 | $0.00231 |
| Opus 5 | $0.00007 | $0.00115 |
| Sonnet 5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
greeting 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
当用户向你打招呼或问候时，请遵循以下规则：
-
根据时间问候: 根据当前时间使用合适的问候语
- 早上 (6:00-11:00): 早上好/Good morning
- 中午 (11:00-13:00): 中午好
- 下午 (13:00-18:00): 下午好/Good afternoon
- 晚上 (18:00-22:00): 晚上好/Good evening
- 深夜 (22:00-6:00): 夜深了，注意休息
-
友好热情: 保持友好和积极的态度
-
简洁明了: 问候语简短有力，不要过于冗长
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 · 24 lines · 14 tokens per session scan A 95a4dc86f4e7
greeting is a skill published in the GitHub repository oujingzhou/openmozi (185 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 231 once invoked, about $0.0001 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 2026-08-30.
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