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.
npx skills add nataliacorrea03/claude-code-skills --skill video-breakdowngit clone --depth 1 https://github.com/nataliacorrea03/claude-code-skillsWrote 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.
[](https://agentmods.dev/skills/nataliacorrea03/claude-code-skills/video-breakdown)<a href="https://agentmods.dev/skills/nataliacorrea03/claude-code-skills/video-breakdown"><img src="https://agentmods.dev/badge/skills/nataliacorrea03/claude-code-skills/video-breakdown/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.
<a href="https://agentmods.dev/skills/nataliacorrea03/claude-code-skills/video-breakdown"><img src="https://agentmods.dev/badge/skills/nataliacorrea03/claude-code-skills/video-breakdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00120 | $0.00836 |
| Opus 5 | $0.00060 | $0.00418 |
| Sonnet 5 | $0.00024 | $0.00167 |
| Haiku 4.5 | $0.00012 | $0.00084 |
Grade A, and why
video-breakdown 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.
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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Breakdown
Reverse-engineer any video the way you actually watch one: visuals + audio at the same time. Built for competitor teardowns and ripping apart trending content in your niche.
How it works
No video model. The skill splits the video into the two things Claude reads natively — images (frames) and text (transcript) — with timestamps lined up, so Claude knows what's on screen the moment something is said.
yt-dlppulls the video + auto-captions from almost any site (YouTube, Loom, IG, TikTok) or a local file.ffmpegrips frames at every scene change (falls back to interval sampling for static talking-heads), capped at ~80.- Captions become a clean timestamped
transcript.txt(no captions = on-screen text in frames still carries it). - Claude reads the frames + transcript and writes the breakdown.
Run it
bash ~/.claude/skills/video-breakdown/scripts/grab.sh "<url-or-path>" [slug] [--start MM:SS] [--end MM:SS] [--every N]
slug— folder name (auto-derived if omitted)--start / --end— only analyze a window--every N— seconds between frames when falling back to interval sampling (default 3)
Output lands in ~/claude-watch/library/<slug>/:
frames/frame_*.jpg— the visualsframes/times.txt— ffmpeg pts_time per frame (maps frame number → timestamp)transcript.txt—[MM:SS] lineformatpacing.txt— cut-rhythm summary (cut count, first-cut time, avg gap, slow-open/static/fast flags). Heuristic from ffmpeg scene detection, not a motion read.meta.txt— title, source, frame count
Then (Claude's job)
- Read
transcript.txtfully. - Read the frames. Use
times.txtto know when each frame happens, so visuals align to the script. - Produce the teardown. Default structure (adapt to what you asked for):
- TLDR — one line on why this video works
- Hook — first 0–3s, exact words + what's on screen
- Structure — beat-by-beat with timestamps (acts, retention turns, CTA)
- Visual playbook — cuts, text overlays, b-roll, motion, pacing
- Why it's trending / what to steal — the transferable moves
- If asked: graphics/motion prompts, script template, hook variations for a niche
What ships with it
2 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.
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 · 50 lines · 120 tokens per session scan A 9e11b1abbbb8
video-breakdown is a skill published in the GitHub repository nataliacorrea03/claude-code-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 836 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 2026-08-31.
Other skills, from other repositories
presentation-creator
Builds decks with a story spine, house visual system, setting-specific density, and speaker notes. Use when asked to "create a presentation", "write a pitch deck", or "turn this doc into slides". Defaults to Marp; use an available presentation tool for editable PowerPoint. For product UI use ui-design.
axiom-now-playing-musickit
MusicKit Now Playing integration patterns. Use when playing Apple Music content with ApplicationMusicPlayer and understanding automatic vs manual Now Playing info updates.
axiom-now-playing-carplay
CarPlay Now Playing integration patterns. Use when implementing CarPlay audio controls, CPNowPlayingTemplate customization, or debugging CarPlay-specific issues.
rc-video
Guias para trabalhar com vídeo. Use ao manipular arquivos com ffmpeg (cortar, transcodificar, extrair frames/áudio, legendar, comprimir, HLS), planejar conteúdo (roteiro, storyboard, Reels/Shorts/YouTube) ou integrar o VideoDB. Não use para edição em GUI ou streaming ao vivo.
image-finalize
Two-stage image generation workflow. First asks clarifying questions, then uses minimax for fast iterative drafts, then gemini-3-pro-image-preview for final polish. Trigger on image generation requests, editing/refining images, or when user wants to produce a final version.
youtube-toolkit
Download YouTube videos with yt-dlp and post-process them with ffmpeg — fetch best-quality video/audio, convert formats, extract audio, and burn in translated (e.g. Chinese) subtitles with a translator watermark. Covers cross-environment tool installation (macOS-focused) including the ffmpeg-full / libass gotcha.…