What is chengfeng-visual?

A video-storyboard tool for adding visual layers over recorded speech, such as highlights, full-screen animations, zooms, and B-roll. The layers are tied to subtitle timing and previewed in the player.

Use it to create and preview visual modules, mark important parts of a recording, add zooms, and attach visuals to selected subtitle segments.

It helps turn spoken explanations into timed visual scenes without changing the words, subtitles, or physical video cuts.

chengfeng-visual — Skill for Claude Code and Codex by Agentchengfeng

About the project

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.

Agentchengfeng/chengfeng-videocut-skills · 2,986 stars · on GitHub

Install

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.

Any agent

npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-visual

Clone the repo

git clone --depth 1 https://github.com/Agentchengfeng/chengfeng-videocut-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual/github.svg)](https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual)

Your own site

<a href="https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual"><img src="https://agentmods.dev/badge/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual"><img src="https://agentmods.dev/badge/skills/agentchengfeng/chengfeng-videocut-skills/chengfeng-visual.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,595 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00101	$0.01595
Opus 5	$0.00051	$0.00797
Sonnet 5	$0.00020	$0.00319
Haiku 4.5	$0.00010	$0.00160

Measured 11d ago against content hash d4b88ccc9c70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

chengfeng-visual 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (animation-styles/ian-xiaohei-svg-motion/assets/templates/xiaohei-comic-motion/vendor/gsap.min.js, animation-styles/ian-xiaohei-svg-motion/assets/templates/xiaohei-comic-motion/vendor/rough.js, animation-styles/ian-xiaohei-svg-motion/assets/templates/xiaohei-series-reference/vendor/gsap.min.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/chengfeng-videocut/skills/chengfeng-visual/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

画面（分镜）

这是一件事，不是流程的一段。 用户什么时候喊它就什么时候做，改完剪辑可以回来再做。

前提只有两个：账本和字幕已经存在（层按字幕屏放、时间从账本算）。

需要   edit-list.json、transcript.json、subtitles.json
产出   visuals.json + modules/<序号-名字>/index.html

干完就停，不指挥用户下一步。

先读取并执行业务 Skill 的阶段合同。模块写法的硬规矩见模块契约，判断规则见画面判断。

0. 就绪

先执行检查更新的「就绪检查」——skills 是否最新、Runtime 是否配套；插件根也在那里定位（本文命令里的 <插件根> 都代入那个字面路径）。只有「就绪」才继续；「需新会话」或「停」按它的处置执行（含「禁止自制替代界面」禁令），业务 Skill 不自带环境逻辑。

若就绪结果为 runtime.kind=desktop-managed，直接复用桌面 App 已安装的稳定 CLI 与同一 launchd/windows-task 服务；不要解析 Electron 路径、另装依赖或起第二个 Runtime。

命令

node "<插件根>/scripts/ensure-running.cjs" --json
node "<插件根>/scripts/videocut-cli.cjs" visual get   <project> --json
node "<插件根>/scripts/videocut-cli.cjs" visual frame <project> --cues sub-0004,sub-0005 --count 12 --out <dir> --json
node "<插件根>/scripts/videocut-cli.cjs" visual add   <project> --module modules/01-xx/index.html --cues sub-0004,sub-0005 [--zoom x,y,w,h] [--id vis-0001] --json
node "<插件根>/scripts/videocut-cli.cjs" visual remove <project> --id vis-0001 --json

ensure-running 必须先证明 canonical 5190 属于当前平台的托管服务；失败就透传并停止，不回退 foreground 或自选端口。

层绑字幕屏（--cues），产品自己换算成词 id——层永远不可能绑上没人说的词，剪辑变了层自己跟着挪。不存秒数。

四步，一步不跳

① 文字定任务    读 subtitles.json，按语义分段，每段回答：
               教程/演示/证明，还是概念/逻辑/过渡？
② 抽帧看画面    visual frame 抽 8-12 帧，真的用眼睛看。
               实测 12 段里有 2 段被画面推翻文字预判 —— 这步不是走形式
③ 量运动窗口    相邻帧做像素差，找出滚动/切换/操作的时刻。
               层只盖稳定窗口，圈在画面开始动之前退场
④ 做层放层     写模块 → visual add → 在预览里逐层核对

② 的判断规则

画面正是他说的东西     → 标注：圈住、说到哪个词圈哪里。真证据不许盖
画面弱相关/空白       → 小黑动画：整屏白底，从风格库做
画面自身足够清楚      → 不动。这是最常见的正确答案（实测 13 段里 4 段不动）

③ 的产出物是数字，不是感觉

圈的坐标      像素统计量出来（灰度扫描找文字行），不许目测 —— 目测差过 50px
互动时刻      逐帧像素差找突变（实测一次从 4 跳到 335），圈在它之前 0.2s 退完
稳定窗口      开头常有滚动（他在找内容），层从停稳那屏的 cue 开始绑

推近（zoom）用之前先想

Read the full file on GitHub · 111 lines

Files

What ships with it

44 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.

Changes

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.

11d ago First seen · 111 lines · 101 tokens per session scan A d4b88ccc9c70

Subscribe to this mod's changes

chengfeng-visual 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 101 tokens to every session and 1,595 once invoked, about $0.0005 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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