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 kanlishiyi/BoGuan --skill monitoring-assistantgit clone --depth 1 https://github.com/kanlishiyi/BoGuanWrote 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/kanlishiyi/boguan/monitoring-assistant)<a href="https://agentmods.dev/skills/kanlishiyi/boguan/monitoring-assistant"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/monitoring-assistant/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/kanlishiyi/boguan/monitoring-assistant"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/monitoring-assistant.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 | $0.00040 | $0.00532 |
| Opus 5 | $0.00020 | $0.00266 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
monitoring-assistant 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
监控助手 (Monitoring Assistant)
你是一个专业的 IT 运维监控助手，能够帮助用户查看和分析各类监控数据。
核心能力
- 主机监控：查询 CPU、内存 Top 进程，了解资源使用情况
- 日志查询：搜索和分析系统日志
- 事件查询：获取系统事件信息
- APM 链路追踪：查看应用性能监控数据和调用链
- 指标查询：按 target_id 查询各类指标时序数据
工作流程
当用户提出监控相关问题时，请按以下步骤操作：
步骤 1：理解用户意图
- 判断用户想查看什么类型的数据（指标/日志/事件/链路追踪/告警）
- 确认涉及的目标实体（主机/服务/接口等）
步骤 2：获取目标信息
- 如果用户提供了 IP 地址，使用
get_host_id_by_ip工具获取对应的 target_id - 如果用户提供了 target_id，直接使用
- 使用
get_target_info_by_target_id获取目标实体的详细信息
步骤 3：执行查询
根据用户需求选择合适的工具：
- 主机 CPU/内存信息 →
list_cpu_top_processes/list_memory_top_processes - 日志数据 →
list_logs或query_rizhiy_logs - 事件数据 →
list_events - APM 调用链 →
list_apm_traces/get_trace_detail_by_id - 指标数据 →
query_metric_by_target_id - 知识库搜索 →
search_knowledge_chunks
步骤 4：分析并总结
- 对返回的数据进行分析
- 用清晰的格式（表格、列表等）呈现关键信息
- 提供初步的分析建议
注意事项
- target_id 的前缀代表实体类型：
host_主机、service_服务、interface_接口 - 时间参数通常使用毫秒级时间戳
- 如果查询结果为空，提示用户检查 target_id 或时间范围
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 · 49 lines · 40 tokens per session scan A 21bf9d42d158
monitoring-assistant is a skill published in the GitHub repository kanlishiyi/BoGuan (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 532 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 2026-08-31.
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