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bggg-tiktok-capcut

bggg-tiktok-capcut is a skill for Codex from binggandata/bggg-skills. It costs 89 tokens per session (1,384 once invoked), scanned A, original, MIT.

A tool for turning a local video into an editable CapCut draft using an existing CapCut project as a template. CapCut is a video-editing app, and a draft is its editable project file.

In plain words
What is it for?
Use it to create CapCut drafts from AI videos, add captions from text or an SRT subtitle file, split a video at a chosen point, copy template styling, inspect frames, plan fixes, and prepare footage for frame interpolation with RIFE.
Why use it?
It avoids manually rebuilding captions, transitions, effects, and project files when preparing a video in CapCut. It also checks whether the draft appears correctly in CapCut and can inspect video frames for visible AI-generated flaws.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 594repo +4 1mo ago A scan SkillSpector: pass 89 tokens original MIT

Good fit Use it to create CapCut drafts from AI videos, add captions from text or an SRT subtitle file, split a video at a chosen point, copy template styling, inspect frames, plan fixes, and prepare footage for frame interpolation with RIFE.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/binggandata/bggg-skills/bggg-tiktok-capcut
View source ↗ binggandata/bggg-skills
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 binggandata/bggg-skills --skill bggg-tiktok-capcut
Clone the repo
git clone --depth 1 https://github.com/binggandata/bggg-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.

agentmods badge for bggg-tiktok-capcut

README.md
[![agentmods](https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-tiktok-capcut/github.svg)](https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-capcut)
Your own site
<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-capcut"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-tiktok-capcut/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.

agentmods 80×15 button for bggg-tiktok-capcut

Your own site · 80×15
<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-capcut"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-tiktok-capcut.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,384 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.01384
Opus 5 $0.00044 $0.00692
Sonnet 5 $0.00018 $0.00277
Haiku 4.5 $0.00009 $0.00138

Measured 13d ago against content hash 8f77f4204560, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bggg-tiktok-capcut 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 6 executable files (scripts/create-capcut-draft.mjs, scripts/extract-ai-artifact-frames.mjs, scripts/extract-template-styles.mjs, …), 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.

bggg-tiktok-capcut/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BGGG TikTok CapCut

这个 skill 只保留通用能力：

  • 基于现有 CapCut 草稿模板生成新草稿
  • 提取模板里的字幕样式、转场、动画、特效
  • 验证草稿是否会被 CapCut 索引并显示
  • 对 AI 视频或 CapCut 草稿抽帧做 AI 痕迹检查
  • 为明显 AI 痕迹生成修复窗口
  • 用本地 RIFE 做高质量补帧预处理

默认 CapCut 草稿根目录：

$HOME/Movies/CapCut/User Data/Projects/com.lveditor.draft

如果你的 CapCut 草稿目录不同，设置 CAPCUT_DRAFT_ROOT 或给脚本传 --output-dir / --draft-root。

生成草稿

node <skill-dir>/scripts/create-capcut-draft.mjs \
  --template "PL-magicrep-PV-001" \
  --video "/path/to/ai-video.mp4" \
  --name "ai-video-capcut-001" \
  --captions "Line 1\nLine 2\nLine 3" \
  --split-at 7.5

常用参数：

参数 说明
--template 已存在的 CapCut 草稿目录名
--video 本地 AI 视频路径
--name 新草稿目录名和首页显示名
--captions 字幕文本，可用 \n 分行
--srt SRT 字幕文件，替代 --captions
--split-at 视频切分点，转场会挂在切点前一段
--no-transition 不复制模板转场
--no-captions 不生成字幕轨道
--output-dir 自定义 CapCut 草稿根目录
--force 同名草稿已存在时先替换

脚本会同步这些 CapCut 会读取的文件，避免草稿目录存在但首页不显示：

  • draft_info.json
  • draft_meta_info.json
  • draft_info.json.bak
  • template-2.tmp
  • Timelines/project.json
  • Timelines/<draft_info.id>/draft_info.json
  • Timelines/<draft_info.id>/template.tmp
  • Timelines/<draft_info.id>/template-2.tmp
  • root_meta_info.json

生成后如果 CapCut 已打开，完全退出再打开，让首页重新加载 root_meta_info.json。

验证草稿

node <skill-dir>/scripts/validate-capcut-draft.mjs \
  --draft "ai-video-capcut-001" \
  --stale-marker "OLD_TEMPLATE_NAME"

验证点包括：

  • root 索引是否有对应条目
  • draft_info.id 与 Timelines/<id>、project.json 是否一致
  • 顶层和嵌套 draft_info/template 副本是否同步
  • 视频素材路径是否存在
  • 是否有旧模板名或旧素材路径残留

提取模板样式

node <skill-dir>/scripts/extract-template-styles.mjs \
  --template "PL-magicrep-PV-001" \
  --output ./capcut-template-styles.json

输出包含字幕样式、转场、动画、特效、画布和轨道结构。

AI 痕迹检查

对单个视频抽帧：

node <skill-dir>/scripts/extract-ai-artifact-frames.mjs \
  --video "/path/to/ai-video.mp4" \
  --output-root ./ai-artifact-qa

对 CapCut 草稿时间线抽帧：

node <skill-dir>/scripts/extract-ai-artifact-frames.mjs \
  --draft "ai-video-capcut-001" \
  --output-root ./ai-artifact-qa

Read the full file on GitHub · 160 lines

Files

What ships with it

15 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.

  1. 13d ago First seen · 160 lines · 89 tokens per session scan A 8f77f4204560

Subscribe to this mod's changes

bggg-tiktok-capcut is a skill published in the GitHub repository binggandata/bggg-skills (594 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,384 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.

Creative and media
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