vibecut-youtube-description

vibecut-youtube-description is a skill for Claude Code from AX-Surfers/vibecut. It costs 109 tokens per session (1,927 once invoked), scanned A, original, MIT.

A video-writing tool that reads subtitles from a CapCut project and creates YouTube titles, a description, and timed chapters. It saves the result in a text file.

In plain words
What is it for?
Use it to turn CapCut subtitles into three title options, a Korean-style YouTube description, and timestamp-based chapters.
Why use it?
It removes the need to watch the whole video and write its metadata by hand. The subtitles provide the video’s structure and timing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the vibecut plugin — 4 skills shipped together

Good fit Use it to turn CapCut subtitles into three title options, a Korean-style YouTube description, and timestamp-based chapters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ax-surfers/vibecut/vibecut-youtube-description
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 AX-Surfers/vibecut --skill vibecut-youtube-description
Clone the repo
git clone --depth 1 https://github.com/AX-Surfers/vibecut

Made for: Claude Code.

Or install vibecut, the plugin that ships this one along with the rest of its 4 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.

agentmods badge for vibecut-youtube-description

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-surfers/vibecut/vibecut-youtube-description/github.svg)](https://agentmods.dev/skills/ax-surfers/vibecut/vibecut-youtube-description)
Your own site
<a href="https://agentmods.dev/skills/ax-surfers/vibecut/vibecut-youtube-description"><img src="https://agentmods.dev/badge/skills/ax-surfers/vibecut/vibecut-youtube-description/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 vibecut-youtube-description

Your own site · 80×15
<a href="https://agentmods.dev/skills/ax-surfers/vibecut/vibecut-youtube-description"><img src="https://agentmods.dev/badge/skills/ax-surfers/vibecut/vibecut-youtube-description.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,927 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.
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 $0.00109 $0.01927
Opus 5 $0.00055 $0.00963
Sonnet 5 $0.00022 $0.00385
Haiku 4.5 $0.00011 $0.00193

Measured 8d ago against content hash 3104c9034f0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

vibecut-youtube-description 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 8d 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.

plugins/vibecut/skills/vibecut-youtube-description/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vibecut-youtube-description 스킬

CapCut 자막 → 영상 흐름 파악 → 유튜브 제목 + 설명 + 챕터 자동 생성 파이프라인.

핵심 처리 흐름

CapCut draft_info.json
   ├─ [1] 프로젝트·타임라인 결정 → 전체 자막 추출 (타임스탬프 + 텍스트)
   ├─ [2] 영상 정보 확인 (GitHub 링크, 커뮤니티 링크 등) — config 있으면 자동, 없으면 질문
   ├─ [3] 제목 3가지 생성
   ├─ [4] 설명 생성 (후크 → 요약 → 링크 → 📌 다루는 내용 → ⏱️ CHAPTERS)
   └─ [5] youtube_description.txt 저장

실행 절차

1단계: 프로젝트 결정 + 자막 추출

경로는 하드코딩하지 않고 설정(~/.vibecut/config.jsoncapcut_projects_dir, 또는 VIBECUT_CAPCUT_DIR)에서 읽습니다. 프로젝트 이름을 모르면 최근 프로젝트를 나열합니다.

SCRIPTS=$(python3 -c "import json,os; print(json.load(open(os.path.expanduser('~/.vibecut/config.json'))).get('scripts_dir',''))")
uv run "${SCRIPTS}/find_project.py" --recent 5      # <프로젝트 경로>\t<타임라인 이름들>
PROJECT="<CapCut 프로젝트 경로>"
TIMELINE="<타임라인 이름 또는 빈 문자열>"           # 타임라인이 여러 개면 지정 필수
uv run python - "${PROJECT}" "${TIMELINE}" "${SCRIPTS}" <<'PYEOF'
import json, sys
from pathlib import Path
project, timeline, scripts = sys.argv[1:4]
sys.path.insert(0, scripts)
from capcut_editor import draft_path_for, resolve_timeline

proj = Path(project)
tl, _ = resolve_timeline(proj, timeline or None)
draft = json.loads(draft_path_for(proj, tl).read_text(encoding="utf-8"))
mat_map = {t["id"]: t for t in draft["materials"].get("texts", [])}

# 자막 트랙 = type이 text인 트랙 중 세그먼트가 가장 많은 것 (tracks[1] 고정 가정 금지)
text_tracks = [t for t in draft["tracks"] if t.get("type") == "text" and t.get("segments")]
if not text_tracks:
    raise SystemExit("❌ 자막 트랙이 없습니다 — 먼저 vibecut-add-subtitles 를 실행하세요")
track = max(text_tracks, key=lambda t: len(t["segments"]))

subs = []
for seg in sorted(track["segments"], key=lambda s: s["target_timerange"]["start"]):
    mat = mat_map.get(seg["material_id"])
    if not mat:
        continue
    text = json.loads(mat["content"]).get("text", "").strip()
    if text:
        subs.append((seg["target_timerange"]["start"] / 1e6, text))
for st, text in subs:
    m, s = divmod(int(st), 60)
    print(f"  {m:02d}:{s:02d}  {text}")
print(f"\n자막 {len(subs)}줄, 영상 길이 {draft['duration']/1e6/60:.1f}분")
PYEOF

Read the full file on GitHub · 207 lines

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. 8d ago Changed · -5 lines 3104c9034f0c
  2. 11d ago First seen · 212 lines · 109 tokens per session scan A 6a887b677ef8

Subscribe to this mod's changes

vibecut-youtube-description is a skill published in the GitHub repository AX-Surfers/vibecut (2 stars, last pushed 8d ago), licensed MIT. It adds 109 tokens to every session and 1,927 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 2026-08-31.

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