What is ian-xiaohei-svg-motion?

A method for making editable, animated HTML and SVG illustrations in the hand-drawn Ian Xiaohei style. SVG is a web format for drawings, and GSAP is a JavaScript library for controlling animation timing.

Use it to create workflow explainers, article illustrations, storyboard scenes, and short-video visuals with animated layers, subtitle cues, and a static review image.

It turns an idea, script, or storyboard into a reusable scene whose text, shapes, and timing can be changed later, instead of relying on a flat picture.

ian-xiaohei-svg-motion — Skill for 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 · 2,989 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 ian-xiaohei-svg-motion

Clone the repo

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

Made for: 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/ian-xiaohei-svg-motion/github.svg)](https://agentmods.dev/skills/agentchengfeng/chengfeng-videocut-skills/ian-xiaohei-svg-motion)

Your own site

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

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,105 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	$0.00118	$0.01105
Opus 5	$0.00059	$0.00553
Sonnet 5	$0.00024	$0.00221
Haiku 4.5	$0.00012	$0.00111

Measured 13d ago against content hash 84ef6a5d6114, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ian-xiaohei-svg-motion 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 13d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (assets/templates/xiaohei-comic-motion/vendor/gsap.min.js, assets/templates/xiaohei-comic-motion/vendor/rough.js, 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/animation-styles/ian-xiaohei-svg-motion/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ian Xiaohei SVG Motion

把 Ian 小黑正文配图的原则，改造成可控的 HTML + SVG + GSAP timeline 动效。目标不是复刻生图像素，而是把文章里的一个认知动作重建成分层漫画舞台，方便录视频、按字幕 cue 对齐、后续改文案和元素。

Core Rule

Do not auto-vectorize a PNG and animate the resulting path soup. Use raster images only as composition references. Rebuild the scene as semantic SVG groups:

idea -> shot plan -> SVG layer plan -> HTML/SVG template -> GSAP timeline -> static + motion review

Workflow

Extract one cognitive anchor from the article, script, screenshot, or storyboard scene.
Choose one physical metaphor: sorting, carrying, bridging, leaking, catching, folding, weighing, opening, rerouting, or falling.
Make Xiaohei perform the core action. If removing Xiaohei does not change the meaning, redesign.
Design a 16:9 white canvas with one main scene, 35%+ whitespace, and 3-5 short handwritten annotations at most.
Build semantic SVG groups for every moving object.
Animate with GSAP timeline. Use x, y, rotation, scale, opacity, and SVG stroke drawing. Avoid layout animations.
Save both a playable HTML page and a static review screenshot.
If this is for a 口播成片 project, map timeline segments to subtitle/cue timing before final render.

Read When Needed

Read references/style-rules.md before designing a new scene or judging whether the result still feels like Ian Xiaohei.
Read references/svg-layering.md before writing or editing the SVG structure.
Read references/motion-rules.md before writing GSAP animation.

Output Contract

Default output folder:

output/<slug>-xiaohei-svg-motion/

Required files:

index.html
README.md
preview.png
vendor/gsap.min.js

Optional files:

source.png        # reference image, if provided by the user
cue-map.md        # when aligning to spoken script or subtitles

Reusable Assets

AI model and interface icons live in:

assets/icons/

Use assets/icons/index.json as the source of truth. Keep original SVG files in subfolders and inline their complete SVG content into scene SVGs during generation, so gradients, strokes, and brand colors are preserved.

Read the full file on GitHub · 103 lines

Files

What ships with it

39 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.

13d ago First seen · 103 lines · 118 tokens per session scan A 84ef6a5d6114

Subscribe to this mod's changes

ian-xiaohei-svg-motion is a skill published in the GitHub repository Agentchengfeng/chengfeng-videocut-skills (2,989 stars, last pushed 4d ago), licensed Apache-2.0. It adds 118 tokens to every session and 1,105 once invoked, about $0.0006 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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