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Agent Skill · 运维和基础设施

ticket-triage(票务分类)

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。

ticket-triage 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 757。

总安装 1,746周安装 75GitHub Stars 2下载 612核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:ticket-triage(票务分类)
来源仓库:https://github.com/jwilger/agent-skills
仓库路径:skills/ticket-triage
安装命令:
npx skills add https://github.com/jwilger/agent-skills --skill ticket-triage
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/jwilger/agent-skills --skill ticket-triage

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

ticket-triage 用于处理 Jira 项目、任务、缺陷和状态流转。适合辅助查询工单、汇总迭代进展或创建任务。使用时要确认项目权限、字段配置和工作流规则。

安装命令:npx skills add https://github.com/jwilger/agent-skills --skill ticket-triage 涉及批量操作时应先预览变更内容再执行。

来源仓库内路径:skills/ticket-triage

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jwilger/agent-skills --skill ticket-triage;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ticket-triage 怎么安装?

在终端执行 npx skills add https://github.com/jwilger/agent-skills --skill ticket-triage。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ticket-triage 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ticket-triage 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ticket-triage 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ticket-triage 用的人多吗?

公开数据是累计安装 1,746 次,近一周安装 75 次,下载 612 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ticket-triage 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
ticket-triage

票务分类 · 本页

1,7462调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Ticket Triage

Evaluate a single ticket against six readiness criteria and produce a clear verdict with actionable remediation guidance.

How to Get the Ticket

The user might provide the ticket in several ways. Adapt accordingly:

  • Pasted in the prompt: The ticket text is right there. Use it directly.
  • File path: Read the file.
  • Jira / Linear / GitHub Issue / other tracker: If MCP tools are available for the tracker, use them to fetch the ticket. If not, ask the user to paste the content.
  • Multiple tickets: If given multiple tickets, evaluate each one separately and produce a per-ticket assessment. Do not batch them into a single verdict.

If the ticket content is ambiguous or incomplete (e.g., just a title with no description), note that in your assessment but still evaluate what's there.

Evaluation Posture

Before diving into the criteria, understand the right mindset for this evaluation. The question you are answering is: "Could a developer pick up this ticket and build the right thing without needing to ask clarifying questions?"

You are not looking for perfection. You are looking for sufficiency. A ticket with slightly informal language that nonetheless communicates the expected behavior clearly is FINE. Only fail a criterion when the gap would genuinely cause a developer to build the wrong thing, miss an important behavior, or be unable to verify their work.

When in doubt, pass the criterion and note an optional improvement. Reserve failures for genuine problems that would block development or lead to incorrect implementations.

The Six Readiness Criteria

A ticket is Ready for Development only if it passes ALL six criteria. Failing even one makes it not ready.

1. Specific Acceptance Criteria

The ACs must communicate what the feature does concretely enough that a developer knows what to build. They should describe behaviors, not just restate the feature name.

Passes: "Dragging changes order in the UI" -- a developer knows what to implement: drag interaction that visually reorders items

Passes: "When a user submits a task with a title shorter than 3 characters, a validation error appears below the title field" -- very precise and detailed

Fails: "User can create a task" -- this is a feature summary, not an AC. It says nothing about what creating a task involves, what fields are shown, or what happens after creation

Fails: "Validation errors are displayed on the form" -- which errors? for which fields? where on the form?

The bar is "would a developer know what to build?" not "is every edge case documented?" ACs that clearly communicate the expected behavior pass even if they could be more detailed.

2. Appropriately Sliced

The ticket is a single, deliverable unit of work. Not an epic disguised as a story, nor an artificial slice that separates tightly coupled concerns (like creating a model in one ticket and adding its validations in another).

Passes: "Add drag-and-drop reordering to the task list" -- single feature, clear scope

Fails: "Build import and export functionality" -- two distinct features with different complexity

Red flags: 3+ distinct capabilities listed, "and" in the title joining unrelated concerns, question marks in the description suggesting the scope isn't decided.

3. Verifiable and Specific ACs

Each AC must be testable -- a QA engineer could determine pass or fail from the AC text. The key question is whether the AC contains subjective language that makes the pass/fail determination a matter of opinion.

Passes: "Order persists after page refresh" -- clear test: reorder, refresh, check

Passes: "A user only sees their own tasks" -- clear test: log in as user A, verify user B's tasks are not visible

Fails: "Query is reasonably performant with large data sets" -- "reasonably" is subjective, "large" is undefined

Fails: "Users perceive the app as more powerful" -- entirely subjective, no way to test

Subjective red-flag words that typically cause failures: "appropriately", "reasonably", "correctly", "clearly", "feels", "perceived", "intuitive", "meaningful". However, context matters -- "User can toggle theme" is fine even though "toggle" is slightly informal, because the behavior is obvious.

4. User-Verifiable Through the UI

The ticket as a whole must be verifiable by a user interacting with the application. Evaluate this at the ticket level, not per-AC.

Passes: A ticket where the core behavior is user-facing, even if one AC mentions an implementation detail. For example, if a ticket has 3 ACs and two describe UI behavior while one says "foreign key relationship exists", the ticket passes -- it IS user-verifiable. The implementation AC is a style issue to note as an optional improvement, not a criterion failure. If even ONE AC describes a user-observable behavior, the ticket passes this criterion.

Fails: A ticket where ALL ACs describe implementation details ("foreign key exists", "data is stored in the database", "migrations run successfully") with no user-observable behavior at all.

The question is: "Can a user verify this ticket is done by using the app?" If yes, it passes. Period.

5. Not Infrastructure-Only

The ticket delivers value that a user of the application can experience. Pure infrastructure, tooling, or devops tickets should be typed as "Chores" or "Tasks", not "Stories."

Passes: "User can see a task list page after the app starts" -- infrastructure + user value combined

Fails: "Docker Compose starts the app and database is reachable from Rails" -- developer/infra value only

Infrastructure work is necessary and valid. The criterion is about typing and framing, not dismissing the work. If a ticket is purely infrastructure, recommend reclassifying it as a Chore or merging it with a user-facing ticket so they ship together.

6. Validation Criteria for Data Models

This criterion applies when a ticket introduces a new data model (a new database table / entity) or adds user-facing fields to an existing model. When it applies, every user-facing field must have explicit validation rules: type, required/optional, min/max length or value, format, allowed values, default value.

Passes: A ticket that includes something like:

FieldTypeRequiredConstraintsDefault
titlestringYesMin 3 chars, max 255 chars--
statusenumYespending, in_progress, completed, archivedpending

Fails: "Each task has: Title (string), Description (text), Status, Due date" -- field names and rough types but no validation rules

N/A -- mark as Pass: When the ticket does NOT introduce a new data model. Specifically:

  • Adding a foreign key for a relationship (e.g., adding user_id to tasks) is a relationship change, not a new data model. Pass.
  • Using fields that already exist on an established model (e.g., reordering tasks using a position field introduced in an earlier ticket) is not introducing new fields. Pass.
  • Pure UI changes, behavioral changes, or features that don't touch data models. Pass.

The criterion only triggers when the ticket says something like "create a Comment model" or "each task should have: [list of new fields]" -- i.e., the ticket is defining what data gets stored and the developer needs to know the validation rules to build the forms and model correctly.

Watch for: tickets that mention data fields in the description but have no validation section, enum fields that list values without specifying the default, and fields whose validation rules are defined in a different ticket (this means the ticket isn't self-contained).

Evaluation Process

For each ticket:

  1. Identify the ticket metadata: title, type, priority (if available)
  2. Evaluate each criterion: Determine pass/fail with specific reasoning that references the actual ticket text
  3. Determine the overall verdict: Ready, Nearly Ready (fails exactly 1 minor criterion with a < 30 min fix), or Not Ready
  4. Identify specific gaps: What exactly is missing or vague, with direct quotes from the ticket
  5. Provide remediation guidance: Concrete steps the team needs to take, not generic advice

Output Format

Present the assessment in a clear, scannable format:

## Ticket Triage: [Ticket Title]

**Verdict: [READY FOR DEVELOPMENT / NEARLY READY / NOT READY]**

### Criteria Assessment

| # | Criterion | Result | Notes |
|---|-----------|--------|-------|
| 1 | Specific Acceptance Criteria | Pass/Fail | [brief reason] |
| 2 | Appropriately Sliced | Pass/Fail | [brief reason] |
| 3 | Verifiable and Specific ACs | Pass/Fail | [brief reason] |
| 4 | User-Verifiable Through UI | Pass/Fail | [brief reason] |
| 5 | Not Infrastructure-Only | Pass/Fail | [brief reason] |
| 6 | Validation Criteria for Data Models | Pass/Fail/N/A | [brief reason] |

Then, based on the verdict:

If READY: Brief confirmation of why the ticket is good to go. Note any optional improvements (clearly marked as non-blocking).

If NEARLY READY: List the 1-2 specific, small changes needed. Provide the exact rewritten AC or addition so the team can copy-paste it.

If NOT READY: Include all three of these sections:

Gaps -- Bulleted list of every specific gap, grouped by failing criterion. Quote the problematic text from the ticket directly.

Remediation Steps -- Numbered checklist of what the team needs to do, in priority order. Be specific: don't say "add validation rules" -- say which fields need which rules. For example:

  • Add validation for title: required, string, min 3 chars, max 255 chars
  • Replace AC "Status is stored in the database" with: "When a user changes a task's status, the new status badge is visible immediately and persists after page refresh"
  • Split this ticket into: (1) Status filtering, (2) Due date filtering, (3) Keyword search

Remediated Example -- Show a before/after for the most impactful section of the ticket. This teaches the team the pattern so they can apply it to other tickets. Format:

Before: - User can create a task - Tasks persist in the database After: - When a user fills in the task title and clicks "Create", they are redirected to the task list and the new task appears at the top - When a user creates a task without a title, a validation error "Title is required" appears below the title field - When a user refreshes the task list page, all previously created tasks are still visible

Judgment Calls

Default to passing. Your starting assumption should be that a criterion passes. Only fail it when you can point to a specific, concrete problem that would cause a developer to build the wrong thing or be unable to verify their work. "This could be more detailed" is an optional improvement, not a failure.

Redundant implementation ACs: If a ticket has a mix of user-facing ACs and one implementation-detail AC (like "saved to the database"), the ticket still passes criteria 4 (user-verifiable). Note the redundant AC as an optional cleanup in your assessment, but do not fail the criterion. Only fail criterion 4 when the ticket has NO user-verifiable ACs.

Borderline ACs: If an AC communicates the expected behavior clearly enough that a developer would know what to build, it passes criteria 1 and 3 -- even if the wording is informal or could be more precise. "Dragging changes order in the UI" is clear. "Results update correctly" is not (what does "correctly" mean?).

Infrastructure + user value: If a ticket combines infrastructure work with a user-facing deliverable, it passes criterion 5.

Implied data models: If the ticket doesn't explicitly say "create a new model" but the feature clearly requires one (e.g., "users can leave comments on tasks" implies a Comment model), flag the missing data model definition under criterion 6.

Relationships vs. new models: Adding a foreign key to establish a relationship between existing models (e.g., user_id on tasks) does NOT trigger criterion 6. The criterion is about new entities with user-facing fields that need form validation, not about database-level relationship plumbing.

Artificial splits: If a ticket references another ticket for essential details (e.g., "Status values are defined in TICKET-4"), flag this under criterion 2. The ticket should be self-contained or explicitly declare the dependency.

Nearly Ready threshold: Use this when the ticket fails exactly 1 criterion and the fix is small (< 30 minutes of refinement). Two or more failing criteria means Not Ready, even if each fix is individually small.

Enforcement Note

  • Standalone mode: Advisory. The agent follows evaluation criteria by convention.
  • Pipeline mode: Gating. NOT READY tickets cannot enter the slice queue.

Hard constraints:

  • All six criteria PASS for READY verdict: [H]

Constraints

  • "Default to passing": Default to passing means: when a criterion is borderline and reasonable developers would disagree, give the benefit of the doubt. It does NOT mean: find a generous interpretation of every criterion to avoid failing tickets. If you're contorting logic to pass a criterion, that's a signal it should fail.
  • "< 30 min fix" for NEARLY READY: This is a rough human-effort estimate, not a precise threshold. The spirit is: could the ticket author fix this in a single short iteration? If the fix requires research, meetings, or design decisions, it's not a 30-minute fix regardless of typing speed.

Tone

Be direct and constructive. The goal is to help the team ship better tickets, not to gatekeep. Frame remediation as "here's what would make this ready" rather than "here's what's wrong." When a ticket is well-written, say so -- recognizing good practices helps establish patterns across the team.

平台分布

Codex

39.41%
按下载量换算241

Claude

28.93%
按下载量换算177

Cursor

18.47%
按下载量换算113

Gemini CLI

10.41%
按下载量换算64

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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