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jira-ticketJira ticket 搜索

Agent Skill

用于处理 Jira 项目、任务、缺陷、Sprint、负责人和状态流转。它适合让 Agent 辅助查询工单、汇总迭代进展、创建任务或整理需求和缺陷信息。使用时要确认项目权限、字段配置和工作流规则,不同团队的 Issue 类型、状态和必填字段可能不同;涉及批量改状态、改负责人或创建工单时,应先预览变更内容再执行。

总安装

5,132

周安装

216

GitHub Stars

公开资料未说明

下载量

1,797
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:jira-ticket(Jira ticket 搜索)
来源仓库:https://github.com/cehd5170/jira-ticket
安装命令:
openclaw skills install jira-ticket
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install jira-ticket

简介

基于网络研究成果自动生成标准化 Jira 工单描述文档。

  • 支持多语言混合排版与附件引用增强问题复现完整性。
  • 特别适用于缺陷重现步骤整理与需求背景说明场景。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 创建前应二次核实敏感信息脱敏处理防止泄露内部细节。
  • jira-ticket 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
jira-ticket
description
Create Jira tickets with web-researched content. Use when asked to create, file, or open a Jira issue/ticket/story/bug/task, especially when the ticket content should be informed by web research or search results. Triggers on phrases like 'create a Jira ticket', 'file a Jira issue', 'open a bug in Jira', 'make a Jira story with research'.
user-invocable
true
metadata

Jira Ticket Creator with Web Research

Create Jira tickets whose content is enriched by web search. Follow these phases in order.

Setup

Three environment variables are required:

  • JIRA_BASE_URL — your Atlassian instance (e.g. https://yourteam.atlassian.net)
  • JIRA_EMAIL — the email tied to your Atlassian account
  • JIRA_API_TOKEN — an API token from https://id.atlassian.com/manage-profile/security/api-tokens

All Jira API calls use Basic auth via curl -u and force HTTP/1.1:

curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" "$JIRA_BASE_URL/rest/api/3/..."

Phase 1 — Parse Arguments

Parse the user's request to extract:

FieldRequiredDescription
projectyesJira project key (e.g. ENG, OPS)
issuetypenoTask, Bug, Story, Epic (default: Task)
summaryyesShort title for the ticket
search_querynoTopic to web-search for enriching the description
prioritynoHighest, High, Medium, Low, Lowest (default: Medium)
assigneenoAtlassian account email or ID
labelsnoComma-separated labels
componentsnoComma-separated component names

If the user does not provide a project key, ask for it before proceeding.


Phase 2 — Web Research (if applicable)

If the user asked for research, or if the ticket would benefit from context (e.g. a bug report referencing an external API, a story about integrating a third-party service):

  1. Use the web_search tool to search for the relevant topic.
  2. Use the xurl tool or curl to fetch key pages for details.
  3. Extract the most relevant information: error descriptions, API docs, best practices, version notes, or solution approaches.

Compile findings into a structured summary:

### Research Summary
- **Source**: [URL]
- **Key findings**: ...
- **Relevant details**: ...

If no research is needed, skip to Phase 3.


Phase 3 — Compose Ticket Content

Build the ticket description in Atlassian Document Format (ADF). Combine:

  • The user's original request/context
  • Research findings from Phase 2 (if any)
  • Acceptance criteria (when creating Stories)
  • Steps to reproduce (when creating Bugs)

Keep the description concise and actionable.

ADF Structure

Jira API v3 uses ADF for the description field. Minimal example:

{
  "type": "doc",
  "version": 1,
  "content": [
    {
      "type": "paragraph",
      "content": [{ "type": "text", "text": "Description text here." }]
    }
  ]
}

For richer formatting (headings, bullet lists, links):

{
  "type": "doc",
  "version": 1,
  "content": [
    {
      "type": "heading",
      "attrs": { "level": 3 },
      "content": [{ "type": "text", "text": "Summary" }]
    },
    {
      "type": "bulletList",
      "content": [
        {
          "type": "listItem",
          "content": [
            {
              "type": "paragraph",
              "content": [{ "type": "text", "text": "Item one" }]
            }
          ]
        }
      ]
    },
    {
      "type": "paragraph",
      "content": [
        { "type": "text", "text": "Source: " },
        {
          "type": "text",
          "text": "link text",
          "marks": [{ "type": "link", "attrs": { "href": "https://example.com" } }]
        }
      ]
    }
  ]
}

Phase 4 — Validate Project and Fields

Before creating the ticket, verify the project exists and discover available fields:

# Verify project
curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/project/$PROJECT_KEY" | jq '{key, name, id}'

# List available issue types for the project
curl --http1.1 -s -u "$JIRA_EMAIL:$JIRA_API_TOKEN" -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/project/$PROJECT_KEY/statuses" | jq '.[].name'

If the project or issue type is invalid, report the error and ask the user to correct it.


Phase 5 — Create the Ticket

curl --http1.1 -s -X POST \
  -u "$JIRA_EMAIL:$JIRA_API_TOKEN" \
  -H "Content-Type: application/json" \
  "$JIRA_BASE_URL/rest/api/3/issue" \
  -d '{
    "fields": {
      "project": { "key": "PROJECT_KEY" },
      "summary": "Ticket summary here",
      "issuetype": { "name": "Task" },
      "priority": { "name": "Medium" },
      "description": { ADF_OBJECT },
      "labels": ["label1", "label2"]
    }
  }'

Extract the response:

# Parse response for issue key and URL
ISSUE_KEY=$(echo "$RESPONSE" | jq -r '.key')
ISSUE_URL="$JIRA_BASE_URL/browse/$ISSUE_KEY"

If the API returns an error, display the error message and suggest corrections.


Phase 6 — Report

Present the result to the user:

  • Issue key: e.g. ENG-1234
  • URL: direct link to the ticket
  • Summary: the title that was set
  • Research included: yes/no, with sources listed

Notes

  • The Jira REST API v3 requires ADF for descriptions — plain text or markdown will be rejected.
  • Rate limits: Jira Cloud allows ~100 requests per minute per user.
  • The jira.yaml network policy preset in NemoClaw already allows *.atlassian.net, auth.atlassian.com, and api.atlassian.com on port 443.
  • To use this skill inside NemoClaw's sandbox, enable the Jira preset in your sandbox policy.

Examples

# Create a simple task
/jira-ticket ENG "Update API rate limiting docs"

# Create a bug with web research
/jira-ticket ENG --type Bug --search "Node.js fetch timeout ECONNRESET" "Fix intermittent ECONNRESET in payment service"

# Create a story with priority and labels
/jira-ticket PLATFORM --type Story --priority High --labels "q2,backend" "Add OAuth2 PKCE flow for mobile clients"

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.25%
按下载量换算1,694

安全审计

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通过

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通过

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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