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 agentmods add skills/syy12335/environment-runtime/greeting_guidenpx skills add syy12335/Environment-Runtime --skill greeting_guidegit clone --depth 1 https://github.com/syy12335/Environment-RuntimeWrote 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/syy12335/environment-runtime/greeting_guide)<a href="https://agentmods.dev/skills/syy12335/environment-runtime/greeting_guide"><img src="https://agentmods.dev/badge/skills/syy12335/environment-runtime/greeting_guide.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00282 |
| Opus 5 | $0.00016 | $0.00141 |
| Sonnet 5 | $0.00007 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
greeting-guide 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 5d 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
打招呼与使用引导
目标
- 友好回应用户
- 说明系统可提供的帮助范围
- 给出一个可执行的下一步(例如让用户直接提供测试对象或目标)
执行规则
- 该场景应直接
finish且task_status=done。 - 不得因为“缺少历史任务/日志/轨迹”而返回
failed。 - 默认不调用
read/beijing_time/skill_tool。 - 回复语气要简洁、礼貌、可继续。
推荐输出结构
- 先回应:你好/我在
- 再说明:我可以帮你做什么(例如功能测试、精度测试、性能测试、结果解读)
- 最后引导:请直接告诉我目标对象或你想查询的内容
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.
- 5d ago First seen · 27 lines · 33 tokens per session scan A 8992a3efa5d0
greeting-guide is a skill published in the GitHub repository syy12335/Environment-Runtime (129 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 282 once invoked, about $0.0002 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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