chengfeng-videocut-skills is a Codex plugin that coordinates Chinese voiceover video editing through the chengfeng-videocut runtime, whose command-line tools and APIs perform the actual processing. It is for agents that need to edit and export narrated videos, while its catalogue skills handle decisions and workflow coordination around that runtime.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-report-buggit clone --depth 1 https://github.com/Agentchengfeng/chengfeng-videocut-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-report-bug)<a href="https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-report-bug"><img src="https://agentmods.dev/badge/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-report-bug/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-report-bug"><img src="https://agentmods.dev/badge/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-report-bug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.01495 |
| Opus 5 | $0.00042 | $0.00747 |
| Sonnet 5 | $0.00017 | $0.00299 |
| Haiku 4.5 | $0.00008 | $0.00150 |
Grade A, and why
chengfeng-report-bug scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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。
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 | target | GitHub 仓库 |
|---|---|---|
| Runtime、Studio、UI、CLI、API、时间线、渲染 | product |
Agentchengfeng/chengfeng-videocut |
| Skill、Marketplace、安装编排、MCP App、工作流说明 | skills |
Agentchengfeng/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
以 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：
{
"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：
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
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 124 lines · 83 tokens per session scan A 3e2826ef5642
chengfeng-report-bug is a skill published in the GitHub repository Agentchengfeng/chengfeng-videocut-skills (2,986 stars, last pushed 3d ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,495 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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