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Agent Skill · 研究检索

report-issue(报告问题)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

report-issue 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 65,896。

总安装 272周安装 11GitHub Stars 2下载 85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:report-issue(报告问题)
来源仓库:https://github.com/onehorizonai/skills
仓库路径:skills/report-issue
安装命令:
npx skills add https://github.com/onehorizonai/skills --skill report-issue
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/onehorizonai/skills --skill report-issue

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

report-issue 用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更或辅助创建协作事项。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue 时应确认 token 权限。

访问私有仓库或推送分支时,务必核实用户授权和目标仓库范围。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/report-issue

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/onehorizonai/skills --skill report-issue;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

report-issue 怎么安装?

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

report-issue 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。

report-issue 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

report-issue 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。

report-issue 用的人多吗?

公开数据是累计安装 272 次,近一周安装 11 次,下载 85 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。

report-issue 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
report-issue

报告问题 · 本页

2722只读未明确通过

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

Report Issue

Turn a rough defect report or product ask into a clean bug or feature-request record.

Core rule

  • Understand the user-visible problem or request before proposing a fix.
  • Capture concrete behavior, affected workflow, and scope boundaries. Do not jump straight to implementation.
  • Keep business context brief and secondary unless it materially changes priority.
  • Default feature requests to feature-level scoping, not broad roadmap planning.
  • Pull taxonomy before creation when product, customer, company, or component signals are present.

Metadata rules

  • Use list-taxonomy before creation when the affected product, product area, customer, company, segment, release, or component is clear enough to tag.
  • Prefer product labels first.
  • Also attach customer or company labels when the issue is clearly tied to a specific account or customer context.
  • Use list-taxonomy only after the issue type and core scope are clear enough to avoid premature tagging.
  • Attach labels only for exact or high-confidence matches.
  • If multiple labels are plausible for the same concept, ask one disambiguation question instead of guessing.
  • Do not guess taxonomy from weak signals. If the match is unclear, leave it off.

Use when

  • The user wants to log a new bug.
  • The user wants to log a new feature request.
  • The record type is already clear enough to avoid a broader triage flow.

Do not use when

  • The request should become a roadmap initiative instead of a feature request.
  • The request is a personal follow-up or operational task.
  • The user wants to triage, assign, or update an existing record rather than create a new one.

Conversation rules

  • Ask one question at a time and stop after each answer.
  • Reuse what the user already said. Skip answered questions.
  • If the user says "just log it" or gives enough detail up front, fast-track the intake and create the record.
  • Do not over-rotate on business goals. A short background note is usually enough.

Execution order

Follow this sequence to keep the interaction predictable:

  1. Confirm whether this is a bug or a feature request.
  2. Gather only the missing minimum context for that record type.
  3. Check for duplicates or overlapping work.
  4. Resolve taxonomy only after the scope is stable.
  5. Write the markdown description.
  6. Confirm the minimum create fields are ready.
  7. Create the record.

Minimum viable intake threshold

Stop asking questions and create once you know the essentials.

For bugs:

  • what is broken
  • where it happens
  • expected vs actual behavior
  • enough repro detail to make the report actionable, or a clear note that repro is still unclear

For feature requests:

  • which user or workflow this improves
  • what should change
  • what is in scope
  • what is out of scope

Do not keep asking for business context once the record is actionable. Put remaining uncertainty in ### Open questions.

Output guidance

  • Write a short markdown description before creating the record.
  • Start with a 1-paragraph TLDR.
  • Prefer ### headings for the main sections.
  • Use clear feature or workflow language in titles and descriptions.
  • If related issues or initiatives are relevant, reference them as markdown links when available.

Bug intake

What to learn

Ask only the missing questions, one at a time:

  • What is broken for the user?
  • Which workflow, page, or feature is affected?
  • Which product or product area is this in?
  • What should happen?
  • What actually happens?
  • How do we reproduce it?
  • Who is affected, and how broadly?
  • Is this tied to a specific customer, company, or segment we should tag?
  • Is there a workaround?
  • What is explicitly known to be out of scope for this report?

Duplicate check

  1. Extract 3-5 meaningful keywords from the defect.
  2. Use search-tasks to look for likely matching existing work before creating a new bug.
  3. If a clear duplicate exists, say so and ask whether to add context there instead of creating a new bug.

Description format

Short TLDR paragraph:
In 2-4 sentences, summarize what is broken, who it affects, the main repro condition, and the current impact.

### Background
- In one short paragraph: what changed or what is happening now, and why this matters.

### Affected flow / use case
- Which user or workflow is hitting the issue?
- Where in the product does it happen?

### Expected behavior
- What should happen?

### Actual behavior
- What happens instead?

### Reproduction
- Clear repro steps or triggering conditions.

### Known scope / boundaries
- What is affected?
- What is explicitly not part of this bug as currently understood?

### Evidence, workaround, and open questions
- Links, screenshots, logs, or customer reports.
- Any workaround if known.
- Anything still unconfirmed.

Create step

  1. Resolve team or assignee metadata if needed.
  2. Use list-taxonomy to attach matching product labels first, then customer/company or other relevant labels when the match is clear.
  3. Before creation, confirm the minimum create fields are ready:

- title - markdown description - workspace - any clear team/assignee metadata - any clear taxonomy labels

  1. Call report-bug with a clear symptom-based title and the markdown description.
report-bug({
  "title": "Checkout fails when coupon and gift card are combined",
  "description": "<full bug description in markdown>",
  "workspaceId": "<workspaceId>",
  "teamIds": ["<teamId>"],
  "assigneeIds": ["<userId>"],
  "taxonomyLabelIds": ["<productLabelId>", "<customerOrCompanyLabelId>"]
})

Feature request intake

What to learn

Ask only the missing questions, one at a time:

  • What user story or workflow are we trying to improve?
  • Who is this for in this phase?
  • Which product or product area is this for?
  • What should they be able to do?
  • What is definitely in scope?
  • What is explicitly out of scope?
  • What is the smallest useful version?
  • Is this tied to a specific customer, company, or segment we should tag?
  • Is there a short background note worth capturing?

Related work check

  1. Extract 3-5 meaningful keywords from the request.
  2. Use search-tasks to look for overlapping feature requests or initiatives.
  3. If strong overlap exists, surface it and ask whether to add context there instead of creating a new request.

Description format

Short TLDR paragraph:
In 2-4 sentences, summarize what is being requested, which user or workflow it improves, what this request includes, and the main boundary or constraint.

### Background
- In one short paragraph: what is missing today, why this matters now, and what happens if nothing changes.
- If there is a business reason, keep it brief and secondary.

### Feature / use case sections
- Use concrete section titles such as `### Add Login with Google` or `### Export filtered results`.
- Under each section, write a short paragraph covering who it is for, what changes, and why it matters to that workflow.

### In scope
- What is included in this request?
- Which surfaces, flows, or constraints matter?

### Out of scope
- What is explicitly not included?
- What adjacent ideas should not get pulled into this request?

### Success
- How will we know this request was fulfilled well enough?
- Prefer user and workflow outcomes over business framing.

### Open questions
- What still needs a decision or validation?

Create step

  1. Resolve team or assignee metadata if needed.
  2. Use list-taxonomy to attach matching product labels first, then customer/company or other relevant labels when the match is clear.
  3. Before creation, confirm the minimum create fields are ready:

- title - markdown description - workspace - any clear team/assignee metadata - any clear taxonomy labels

  1. Call report-feature-request with a capability-based title and the markdown description.
report-feature-request({
  "title": "Allow per-pipeline HubSpot sync toggles",
  "description": "<full feature request description in markdown>",
  "workspaceId": "<workspaceId>",
  "teamIds": ["<teamId>"],
  "assigneeIds": ["<userId>"],
  "taxonomyLabelIds": ["<productLabelId>", "<customerOrCompanyLabelId>"]
})

平台分布

Codex

37.46%
按下载量换算32

Claude

30.91%
按下载量换算26

Cursor

19.48%
按下载量换算17

Gemini CLI

9.01%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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