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zenmux-feedbackzenmux 反馈

Agent Skill

zenmux-feedback 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,406

周安装

58

GitHub Stars

10

下载量

459
CodexClaudeCursorGemini CLI

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

unknown

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:zenmux-feedback(zenmux 反馈)
来源仓库:https://github.com/zenmux/skills
仓库路径:skills/zenmux-feedback
安装命令:
npx skills add https://github.com/zenmux/skills --skill zenmux-feedback
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/zenmux/skills --skill zenmux-feedback

简介

zenmux-feedback 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 适用于团队协作流程优化、代码审查意见汇总或迭代反馈闭环构建。
  • 通过 npx skills add 命令安装后,可自动解析评论、标记待办项并生成总结报告。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 核验是否支持敏感操作及审计日志记录。

SKILL.md

zenmux-feedback

Help users submit issues and feedback to the ZenMux GitHub repository with minimal friction.

ZenMux is built in public — every piece of user feedback directly shapes the product. Your job is to make submission feel effortless: gather just enough info through natural conversation, compose a well-structured issue, and submit it. The target repository is ZenMux/zenmux-doc.

Step 0: Sync references & check prerequisites (MUST run first)

0a. Verify GitHub CLI

gh --version 2>&1 && gh auth status 2>&1

If gh is not installed — stop the workflow and tell the user:

  1. This skill requires GitHub CLI (gh) to submit issues
  2. Install it:

- macOS: brew install gh - Linux: sudo apt install gh or sudo dnf install gh - Windows: winget install --id GitHub.cli - Other: https://cli.github.com/

  1. Then run gh auth login to authenticate
  2. Mention that ZenMux uses structured issue templates — the user can browse them at skills/zenmux-feedback/references/zenmux-doc/.github/ISSUE_TEMPLATE/ to preview the fields each issue type requires
  3. Do NOT proceed — wait for the user to install and authenticate first

If gh is installed but not authenticated — tell the user to run gh auth login, then re-run this skill.

0b. Update issue templates from upstream

Run the update script to clone or pull the latest zenmux-doc repository:

bash skills/zenmux-feedback/scripts/update-references.sh

Then read all .yml files under skills/zenmux-feedback/references/zenmux-doc/.github/ISSUE_TEMPLATE/ to get the latest fields, dropdown options, and validation rules. These templates are the source of truth — if template fields have changed from what's described below, follow the templates.

0c. Fetch available repo labels

gh label list --repo ZenMux/zenmux-doc --limit 100

Cache this list. In Step 5, only apply labels that appear in this list. If a label from the type mapping below doesn't exist in the repo, silently drop it — never pass non-existent labels to gh issue create.

If all checks pass

Proceed to Step 1.

Step 1: Identify submission type

From the user's message, determine which type fits:

TypeSignalsTitle prefixLabels (apply only if they exist in repo)
Bug ReportSomething broken, errors, unexpected behavior[Bug]:bug
Feature RequestWants new functionality or improvements[Feature]:enhancement
Provider/Model RequestWants a new LLM provider or model[Provider]:enhancement
Doc FeedbackDoc errors, missing content, broken links[Docs]:documentation
General FeedbackImpressions, experience, suggestions, comparisons[Feedback]:enhancement
Note: The upstream issue templates define additional labels (needs-triage, provider-request, feedback, community) that may not yet exist in the repo. The label list fetched in Step 0c is authoritative — only use labels confirmed to exist.

Usually you can infer the type. Examples:

  • "API returns 500 when streaming" → Bug Report
  • "Hope ZenMux can support Mistral" → Provider/Model Request
  • "Wish the dashboard showed per-model cost" → Feature Request
  • "The quickstart guide link is broken" → Doc Feedback
  • "Been using ZenMux a month, here's what I think" → General Feedback

If ambiguous, ask briefly — but don't over-classify. Use AskUserQuestion with the options above for quick selection.

Step 2: Gather information conversationally

Extract as much as you can from what the user already said. Then ask only for what's truly missing — group related questions together and keep it to 1-2 rounds of questions at most.

What to gather per type

Bug Report (essential → optional):

  • Description of the bug ← often already in the user's message
  • Steps to reproduce
  • Expected vs actual behavior
  • Category (API / Streaming / Routing / Protocol / Multimodal / Tool calling / etc.)
  • API protocol (OpenAI / Anthropic / Gemini / Platform / N/A)
  • Severity (Critical / High / Medium / Low)
  • *Optional: environment info, generation_id, integration tool (Claude Code / Cursor / Cline / etc.), screenshots*

Feature Request (essential → optional):

  • Problem or pain point ← often already stated
  • Proposed solution or desired behavior
  • Category (API / Routing / Streaming / Observability / Billing / etc.)
  • Priority (Critical / High / Medium / Low)
  • *Optional: use case, alternatives considered, willingness to help implement*

Provider/Model Request (essential → optional):

  • Provider name
  • Model(s) requested
  • Request type (new provider / new model from existing provider / model update)
  • Model type (text / code / image / video / embedding / multimodal / reasoning / etc.)
  • Use case
  • Priority
  • *Optional: API protocol compatibility, API docs link*

Doc Feedback (essential → optional):

  • Which section is affected
  • What kind of issue (incorrect info / missing content / translation error / broken link / unclear / etc.)
  • Description of the problem
  • Language version (English / Chinese / Both)
  • *Optional: page URL, suggested fix, willingness to submit PR*

General Feedback (essential → optional):

  • Feedback type (product impressions / UX / model quality / pricing / comparison / etc.)
  • The feedback content itself
  • *Optional: satisfaction level, primary use case, role, plan, one thing they'd change, how they found ZenMux*

Conversation guidelines

  • If the user's initial message already covers most required fields, don't re-ask. Confirm your understanding and only fill gaps.
  • Use AskUserQuestion for fields with fixed options (category, severity, priority) — it's faster than typing.
  • For optional fields, only ask when context suggests they'd add real value. Don't ask about generation_id unless they're reporting an API error.
  • Encourage the user — their input shapes ZenMux. No feedback is too small.

Step 3: Compose the issue

Build a well-formatted issue body in markdown. Structure it to match what GitHub issue templates produce for consistency. Only include fields that have meaningful content — skip empty optional sections.

Body format by type

Bug Report:

### Category
[e.g., API (request handling, response, errors)]

### API protocol used
[e.g., OpenAI Chat Completions (/api/v1)]

### Describe the bug
[Clear description]

### Steps to reproduce
1. ...
2. ...

### Expected behavior
[What should happen]

### Actual behavior
[What actually happened, including error messages/codes if any]

### Severity
[e.g., High - Major feature is broken, no workaround]

### Environment
- SDK: [e.g., Python (openai) v1.x.x]
- Model slug: [e.g., openai/gpt-5]
- Integration tool: [e.g., Claude Code]

### Additional context
[If any]

Feature Request:

### Category
[e.g., Observability (logs, cost tracking, usage analytics)]

### Problem / Pain point
[What problem this solves]

### Proposed solution
[How the user wants it to work]

### Use case
[Real-world scenario]

### How important is this to you?
[e.g., High - Would significantly improve my experience]

### Alternatives considered
[If any]

Provider/Model Request:

### Provider name
[e.g., Mistral]

### Model(s) requested
- model-name-1
- model-name-2

### Request type
[New provider / New model from existing provider / Update]

### Model type
[e.g., Text generation, Code generation]

### Use case
[Why they need this]

### How urgently do you need this?
[e.g., Medium - Would be nice to have]

Doc Feedback:

### Documentation section
[e.g., Getting started / Quickstart]

### What kind of issue?
[e.g., Incorrect or outdated information]

### Language version affected
[English / Chinese / Both]

### Description
[The issue or suggestion]

### Page URL
[If provided]

General Feedback:

### Feedback type
[e.g., Product impressions / First experience]

### Your feedback
[The feedback content]

### How satisfied are you with ZenMux overall?
[If provided]

### What do you primarily use ZenMux for?
[If provided]

### If you could change one thing about ZenMux, what would it be?
[If provided]

Step 4: Preview and confirm

Show the user the complete issue before submitting:

  1. Display the title (with prefix like [Feature]:...)
  2. Display the body formatted clearly
  3. Mention which labels will be applied
  4. Ask the user to confirm, or adjust anything

Never submit without explicit confirmation.

Step 5: Submit

Since gh was verified in Step 0, write the body to a temp file and submit. Before submitting, cross-check labels against the list fetched in Step 0c — only include labels that actually exist in the repo. If none of the desired labels exist, omit the --label flag entirely.

# Write body to temp file to avoid shell escaping issues
cat > /tmp/zenmux-issue-body.md << 'ISSUE_BODY'
[composed body here]
ISSUE_BODY

gh issue create \
  --repo ZenMux/zenmux-doc \
  --title "[Type]: Title" \
  --body-file /tmp/zenmux-issue-body.md \
  --label "label1"

After success, show the issue URL and clean up the temp file (rm /tmp/zenmux-issue-body.md).

Step 6: After submission

  • Share the issue URL with the user
  • Mention the public roadmap — they can track progress there
  • For discussions or questions that aren't quite issues, suggest GitHub Discussions or the Discord community
  • Thank them — every contribution matters when building in public

Language

Respond in whatever language the user is using. If they write in Chinese, conduct the conversation and compose the issue in Chinese. If in English, use English. The ZenMux team reads both.

Proactive engagement

If during a conversation (especially when using the zenmux-context skill) you notice the user has hit a real problem or has a strong product opinion, gently offer: "Would you like me to help submit this as an issue/suggestion to ZenMux? It helps the team prioritize." Don't push — just make the option visible.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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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

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

Codex

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30.28%
按下载量换算139

Cursor

20.75%
按下载量换算95

Gemini CLI

8.58%
按下载量换算39

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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