What is lov-video-chapter?

A video chapter production toolkit that turns subtitles and a source video into chapter data, an editable chapter bar, video overlays, and editor-ready files.

Use it to create semantic video chapters, preview their progress bar, render a transparent overlay or MP4, and prepare files for editors such as CapCut.

It connects planning, design, rendering, and export so chapter information does not have to be recreated at each stage.

lov-video-chapter — Skill for Claude Code and Codex by lovstudio

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 lovstudio/skills --skill video-chapter

Clone the repo

git clone --depth 1 https://github.com/lovstudio/skills

Made for: Claude Code, Codex.

Or install video-creation, the plugin that ships this one along with the rest of its 12 skills.

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/lovstudio/skills/video-chapter/github.svg)](https://agentmods.dev/skills/lovstudio/skills/video-chapter)

Your own site

<a href="https://agentmods.dev/skills/lovstudio/skills/video-chapter"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/video-chapter/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/lovstudio/skills/video-chapter"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/video-chapter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,228 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 warn 7 Sept 2026

SkillSpector: 4 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Agent Snooping · line 17
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Agent Snooping · line 18
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Agent Snooping · line 19
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Agent Snooping · line 20
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.

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	$0.00108	$0.01228
Opus 5.5	$0.00043	$0.00491
Sonnet 5.5	$0.00022	$0.00246
Haiku 4.5	$0.00011	$0.00123

Measured 1mo ago against content hash bd1945fe03b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lov-video-chapter 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 1mo ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/chapter_project.py, scripts/render_chapter_bar.py, scripts/subtitle_chapters.py, …), 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.

skills/video-chapter/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

视频章节师 · Video Chapters

Build a complete chapter-bar workflow from semantic planning to final video. Keep every stage connected through one chapter-project.json.

Route the request

Read skills/chapter-plan/SKILL.md for subtitle analysis and editorial cuts.
Read skills/chapter-design/SKILL.md for React Studio editing and styling.
Read skills/chapter-render/SKILL.md for transparent overlay or burned video.
Read skills/chapter-export/SKILL.md for 剪映/CapCut and other editor packages.
Run only the stages the user requests. Run all four for an end-to-end request.

End-to-end workflow

1. Analyze the subtitles

python3 scripts/subtitle_chapters.py \
  --input "/path/to/subtitles.srt" \
  --segments 5 \
  --output "/tmp/video-chapter-analysis.md"

Read the analysis pack completely. Select semantic transitions rather than equal-duration cuts. Start at 00:00, align later cuts to subtitle cues, and avoid cutting a sentence.

2. Create the project

Write a UTF-8 chapter list:

00:00 开场与目标 | 展示成片并说明这次要完成什么
04:16 挑选并改造 Skill | 判断现有工具并完成适配

Create the canonical project:

python3 scripts/chapter_project.py create \
  --chapters "/path/to/chapters.txt" \
  --video "/path/to/video.mp4" \
  --output "/path/to/chapter-project.json"

Read references/project-format.md when editing project JSON directly.

3. Refine in React Studio

cd studio
npm install
npm run dev

Import chapter-project.json, select the local source video, edit chapter boundaries and titles, adjust styling, then export the updated JSON. Treat the Studio preview as the visual approval surface.

4. Render

Install Pillow once when needed:

python3 -m pip install -r requirements.txt

Create a transparent overlay:

python3 scripts/render_chapter_bar.py overlay \
  --project "/path/to/chapter-project.json" \
  --output "/path/to/chapter-overlay.mov"

Burn the overlay into the source video:

python3 scripts/render_chapter_bar.py burn \
  --project "/path/to/chapter-project.json" \
  --output "/path/to/video-with-chapters.mp4"

Read the full file on GitHub · 146 lines

Files

What ships with it

34 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.

1mo ago Changed bd1945fe03b6
1mo ago First seen · 146 lines · 108 tokens per session scan A 1339113a0a7c

Subscribe to this mod's changes

lov-video-chapter is a skill published in the GitHub repository lovstudio/skills (72 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 1,228 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

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