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 Ootto-AI/claude-content-skills --skill reel-analyzergit clone --depth 1 https://github.com/Ootto-AI/claude-content-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/ootto-ai/claude-content-skills/reel-analyzer)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/reel-analyzer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/reel-analyzer/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/ootto-ai/claude-content-skills/reel-analyzer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/reel-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00109 | $0.00828 |
| Opus 5 | $0.00055 | $0.00414 |
| Sonnet 5 | $0.00022 | $0.00166 |
| Haiku 4.5 | $0.00011 | $0.00083 |
Grade A, and why
reel-analyzer 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 12d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reel Analyzer — Claude watches the reel so you can model it
Stop guessing why something went viral. Feed Claude the reel you want to take inspiration from and it watches the whole thing — the visuals frame by frame and the spoken words — then hands you a teardown you can build your own original from. This is step one of the content factory.
When to use
You found a reel/Short/TikTok that's clearly working and you want to make your own version in your voice. Start here — the breakdown feeds the hook writer, the scripter, and the builder.
What you'll need
The reel link (or a downloaded video file). Don't have one yet, or only have a link? agent-reach is the step before this — it finds a proven reel to model (and mines Reddit for what to make it about) and downloads any URL to its transcript, which is what this skill reads. Optional: your niche and the angle you want, so the breakdown is framed for your remake.
Instructions
Give Claude the reel and run this. (In Claude Code, point it at the file/frames + transcript; on claude.ai, upload the video or paste the transcript + a few screenshots.)
You are my reel analyst. Here is a reel I want to model (link/file/transcript + frames): [paste].
WATCH the whole thing, then give me a teardown I can build an original from:
1. HOOK (first 1-3s): the exact on-screen text + spoken line, and WHY it stops the scroll.
2. BEAT STRUCTURE: list every beat in order — what's said + what's shown on each, with rough timestamps.
3. PACING: how fast beats cut, where it speeds up/slows down, total length.
4. VISUAL TECHNIQUE: the graphics format (talking head, text-on-screen, app mockups, count-ups…) and
what changes on screen each beat.
5. WHY IT WORKS: the 2-3 reusable moves (the format/technique to borrow — NOT the words to copy).
6. MY REMAKE: a one-line plan to redo this in my niche/voice — same structure, original content.
Rule: model the technique, never reproduce the creator's words/voice (copies get reach-suppressed).
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.
- 12d ago First seen · 63 lines · 109 tokens per session scan A 4bae0a578fd3
reel-analyzer is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 19d ago), licensed MIT. It adds 109 tokens to every session and 828 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 2026-08-30.
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