Chengfeng Report Bug logo

Chengfeng Report Bug

CommunityPopular
Agentchengfeng
chengfeng-report-bug

整理、脱敏并上报 chengfeng-videocut 的 GitHub Bug。用户说上报 Bug、反馈剪口播问题、提交 GitHub Issue、这个问题告诉开发者,或要求继续提交已预览的 Bug 草稿时使用。不要用于功能建议、普通排错、代码提交或未获用户确认的自动上报。

Overview

PublisherAgentchengfeng
Repositorychengfeng-videocut-skills
Skill namechengfeng-report-bug
Stars
3K
Forks
385
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Agentchengfeng on GitHub. Read the source before you install it.

Installation

Install the Chengfeng Report Bug AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Agentchengfeng/chengfeng-videocut-skills.git /tmp/chengfeng-videocut-skills
mkdir -p .claude/skills
cp -r /tmp/chengfeng-videocut-skills/plugins/chengfeng-videocut/skills/chengfeng-report-bug .claude/skills/chengfeng-report-bug
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chengfeng Report Bug in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chengfeng Report Bug on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chengfeng Report Bug is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

上报 Bug

这是 chengfeng-videocut 的支持入口,不是第三条剪辑流程。默认只生成公开 Issue 草稿;外部写入必须经过脱敏预览与用户确认。

text
问题描述
   |
   v
最小只读诊断 -> 脱敏 -> 展示仓库 / 标题 / 正文
                                  |
                           用户明确确认
                                  |
                                  v
                     认证 + 标签检查 + 查重
                                  |
                                  v
                         创建 GitHub Issue

1. 确认这是可复现 Bug

先区分:

  • Bug:实际行为偏离已有契约、界面、版本能力或确定性结果。
  • 功能建议:产品从未承诺该能力;不要伪装成 Bug。
  • 使用疑问:先回答或诊断,不自动上报。

只收集复现所需的最小事实。不得安装 Runtime、启动 Studio、改项目、重新剪片或上传媒体来“补证据”。Runtime 存在时,可从插件根目录执行 node scripts/ensure-runtime.cjs --json 做只读探测,只保留 state / kind / version / healthy / error.code;不要附完整 doctor 输出。kind=desktop-managed 只表示安装来源是桌面 App,不授权本 Skill 启动 App、服务或重新安装。不存在就写“未检测到”。

2. 选择固定仓库

工作区根目录不一定是 Git 仓库,禁止从当前目录猜 remote:

问题组件targetGitHub 仓库
Runtime、Studio、UI、CLI、API、时间线、渲染productAgentchengfeng/chengfeng-videocut
Skill、Marketplace、安装编排、MCP App、工作流说明skillsAgentchengfeng/chengfeng-videocut-skills

跨组件问题优先报最先违反契约的仓库,并在正文说明另一个组件;无法判断时先问用户。

3. 生成结构化输入

umask 077 把候选写入当前任务临时目录的 JSON,不写产品规范文件;提交结束后删除临时 JSON 与 Markdown:

json
{
  "schemaVersion": 1,
  "target": "product",
  "component": "Studio",
  "title": "Runtime 0.1.1 无法打开 HyperFrames 顶层剪口播视图",
  "summary": "一句话说明影响",
  "steps": ["第一步", "第二步"],
  "expected": "预期行为",
  "actual": "实际行为",
  "environment": {
    "Runtime": "0.1.1",
    "OS": "macOS"
  },
  "evidence": ["只放最小、可公开的诊断"],
  "acceptance": ["可验证的修复条件"]
}

禁止放入:

  • API Key、Token、Cookie、.env
  • 视频、音频、截图、完整日志或转录正文;
  • 客户名、原视频名、真实 projectId、用户绝对路径;
  • 未经用户允许的私人仓库内容。

4. 先生成并展示脱敏草稿

从当前 SKILL.md 定位脚本:

先按检查更新「就绪检查」第一步定位插件根 (从本 Skill 的实际源文件路径向上两级;不得跑 codex plugin list 或搜索其他 cache;下述 <插件根> 都代入该字面路径)。本 Skill 只用它定位脚本, 不装 Runtime、不起服务:

bash
node "<插件根>/skills/chengfeng-report-bug/scripts/report-bug.cjs" draft --input "<报告JSON文件>" --output "<草稿输出文件>" --json

target 必须明确为 productskills,缺失和拼错都应停止,不能静默改报另一仓库。脚本会清理常见密钥、本地用户名、卷名、路径余段和 localhost 查询参数;自动脱敏不能识别任意客户名,仍必须人工通读。向用户展示:

text
repo
label=bug
title
完整脱敏正文

同时保存返回的 confirmationReceipt,并向用户展示 confirmationToken 与过期时间。用户没有明确确认这份公开内容时停止;仅仅检测到错误不等于同意上报。令牌只绑定草稿内容,并不自行证明用户同意;Agent 仍必须等待明确回复。确认只对当前任务中紧接着的一次提交有效,30 分钟过期,不能跨任务或重复使用。

5. 确认后提交

只对刚刚展示、内容未变化的草稿提交:

bash
node "<插件根>/skills/chengfeng-report-bug/scripts/report-bug.cjs" submit --input "<报告JSON文件>" --target "<目标仓库>" --confirmed --confirm-token "<确认token>" --receipt "<确认回执文件>" --json

固定规则:

  • 提交前脚本检查 gh auth status、目标仓库 Issues 与 bug 标签;失败时保留草稿。
  • 相同组件、复现步骤与实际结果的指纹已存在时返回原 Issue URL,不用宽泛标题冒充重复。
  • 确认后正文发生变化时返回 confirmation_mismatch,必须重新预览。
  • 确认凭据过期或已使用时返回 confirmation_expired / confirmation_replayed,必须重新预览。
  • 创建结果没有明确 Issue URL 时,不自动重试;它可能已经创建。
  • 只有拿到 GitHub Issue URL,才能说“已经上报”。

失败处理

  • github_auth_required:说明草稿已完成但未提交,禁止声称成功。
  • github_issue_create_failed:保留草稿和手工入口,不循环重试。
  • confirmation_required / confirmation_mismatch:重新展示精确公开内容。
  • 目标仓库无权限或不可见:不要改报任意仓库;让用户决定是否改报公开 Skills 仓。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Chengfeng Report Bug AI skill do?

整理、脱敏并上报 chengfeng-videocut 的 GitHub Bug。用户说上报 Bug、反馈剪口播问题、提交 GitHub Issue、这个问题告诉开发者,或要求继续提交已预览的 Bug 草稿时使用。不要用于功能建议、普通排错、代码提交或未获用户确认的自动上报。

Why use Chengfeng Report Bug on TypingMind?

Because you install it once and use it with any model. Chengfeng Report Bug is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chengfeng Report Bug in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-report-bug. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Chengfeng Report Bug?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chengfeng Report Bug?

As many as you like. As long as a model supports skills, you can use Chengfeng Report Bug with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chengfeng Report Bug AI skill free?

Yes. It is published on GitHub by Agentchengfeng under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇