Inspection Report
SkillCommunicationTriggers an inspection task and pushes the report to a notification channel.
Use Inspection Report in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Inspection Report and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Inspection Report skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by kubehan/promai in skills/inspect-report/SKILL.md and read by ahel’s review.
当用户要求执行巡检、发报告、检查系统状态并通知团队时,使用此工作流。
步骤
1. 列出数据源
确定要巡检的目标数据源:
list_datasources()
用户可能指定了名称,从结果中找到对应的数据源。
2. 触发巡检
trigger_inspect(datasource="<datasource_name_or_url>")
返回 task_id,记录下来。
3. 轮询任务状态
使用 query_task 等待任务完成:
query_task(task_id="<task_id>")
如果任务还在进行中(status=running),等待几秒后重试。最多重试 5 次。
4. 查看报告详情
任务完成后,使用返回的 report_id:
get_report_detail(report_id=<report_id>)
5. 推送报告
根据内容判断是否需要推送通知:
如果发现异常指标(状态码非 OK),使用 push_report:
push_report(
channel="wechat_work", # 或 dingtalk / feishu
report_id=<report_id>
)
如果用户指定了特定渠道或 webhook,优先使用:
push_report(
channel="dingtalk",
report_id=<report_id>,
webhook_url="<custom_webhook>"
)
6. 汇总结果
告知用户巡检结果摘要:
- 检查了多少个指标
- 多少正常 / 多少异常
- 是否已推送通知
Signals
- GitHub stars
- 124
- Forks
- 44
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
inspect-report- Source
- github.com/kubehan/promai
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