agentleFS
OpenBMBOpenBMB/EC2-Bench/skills/task48/SKILL.md

task48

Skill19 starsChanged 5 months agoMITView on GitHub

Incident Postmortem — Root Cause Analysis. Use when: 需要对生产环境事故进行复盘分析, 涉及工单收集、系统集成状态、邮件技术细节、知识库历史、会议记录和定时任务检查.

The file

Files
SKILL.md

Incident Postmortem — Root Cause Analysis Skill

Helpdesk API

Base URL: http://localhost:9107

ActionEndpointRequired Body
获取工单列表POST /helpdesk/tickets{ "status": <string>, "priority": <string>, "date_from": <string>, "date_to": <string> }
获取单个工单详情POST /helpdesk/tickets/get{ "ticket_id": <string> (required) }

Config API

Base URL: http://localhost:9111

ActionEndpointRequired Body
获取所有第三方集成的列表(概览信息)POST /config/integrations{ "status": <string> }
获取单个集成的完整配置信息POST /config/integrations/get{ "integration_id": <string> (required) }

Gmail API

Base URL: http://localhost:9100

ActionEndpointRequired Body
获取收件箱中的邮件列表POST /gmail/messages{ "days_back": <integer>, "max_results": <integer> }
根据邮件ID获取邮件详细内容POST /gmail/messages/get{ "message_id": <string> (required) }

Knowledge Base API

Base URL: http://localhost:9106

ActionEndpointRequired Body
搜索知识库文章POST /kb/search{ "query": <string> (required), "category": <string>, "max_results": <integer> }
获取知识库文章详情POST /kb/articles/get{ "article_id": <string> (required) }

Notes API

Base URL: http://localhost:9105

ActionEndpointRequired Body
获取笔记/会议记录列表POST /notes/list{ "date_from": <string>, "date_to": <string>, "tag": <string> }
获取笔记/会议记录详情POST /notes/get{ "note_id": <string> (required) }

Scheduler API

Base URL: http://localhost:9112

ActionEndpointRequired Body
列出所有定时任务POST /scheduler/jobs{ "status": <string>, "enabled": <boolean>, "tag": <string> }
获取定时任务详情POST /scheduler/jobs/get{ "job_id": <string> (required) }
查看定时任务执行历史POST /scheduler/jobs/history{ "job_id": <string> (required), "limit": <integer> }

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.