Borrowing it
Nothing to install: this file belongs to st0012/cctop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/st0012/cctop/master/.agents/skills/video-storyboard/SKILL.mdgit clone --depth 1 https://github.com/st0012/cctopWrote 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/st0012/cctop/video-storyboard)<a href="https://agentmods.dev/skills/st0012/cctop/video-storyboard"><img src="https://agentmods.dev/badge/skills/st0012/cctop/video-storyboard/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/st0012/cctop/video-storyboard"><img src="https://agentmods.dev/badge/skills/st0012/cctop/video-storyboard.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 | $0.00202 | $0.03329 |
| Opus 5.5 | $0.00081 | $0.01332 |
| Sonnet 5.5 | $0.00040 | $0.00666 |
| Haiku 4.5 | $0.00020 | $0.00333 |
Grade A, and why
video-storyboard 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 2mo 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Storyboard
A repeatable process for the part of a video that decides whether it works: the narrative. Rendering executes the story; this skill designs it.
For cctop launch videos, this is the first half of the workflow:
- Use this skill for story/script/storyboard/audit decisions.
- Render through the repo video pipeline (
cd video && ./build.sh launchfor the launch cut). - After the user approves the rendered video, switch to
$video-assetsand publish with its confirmation gate. That workflow uploadscctop-launch.mp4,cctop-launch-720p.mp4, and a freshly generatedcctop-launch-preview.aviftogether to the non-latestmedia-assetsrelease.
For cctop product facts, audience, feature-fit judgment, and language choices,
read PRODUCT.md before writing positioning or scripts. Use README.md for
current public-facing claims and supported-tool lists.
It has two modes:
- DESIGN — build a video's story from scratch (product facts → approved storyboard).
- AUDIT — run the same lenses over a finished or draft video to find what's weak and how to fix it.
Pick the mode from the request. "Storyboard a video for X" → DESIGN. "Why does this video feel flat / make it better / review this cut" → AUDIT.
Everything here is built from frameworks that survived adversarial fact-checking. The frameworks are solid; many of the numbers floating around the industry are blog-grade rules of thumb. Where a guideline is directional rather than proven, it is marked [directional]. See references/frameworks.md for provenance, citations, and the specifics that were refuted (so you don't codify folklore).
The core idea
Most product videos fail the same way: they are a feature montage from the product's point of view ("here's the panel, here are the tabs, here are the themes"). They list capabilities instead of telling the story of a person whose problem gets solved.
The fix is one reframe and four moves:
- The viewer is the hero; the product is the guide. (StoryBrand) The story is about them and their struggle, not about your UI.
- Pick one spine and fill it — don't free-associate beats.
- Connect beats by cause-and-effect (but/therefore), never by chronology (and then).
- Engineer the opening for a muted, scrolling viewer — the first frame must earn the next two seconds.
What ships with it
1 file 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.
- 2mo ago First seen · 132 lines · 202 tokens per session scan A 008ed750b3d5
video-storyboard is a skill published in the GitHub repository st0012/cctop (161 stars, last pushed 1mo ago), licensed MIT. It adds 202 tokens to every session and 3,329 once invoked, about $0.0008 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 2026-08-30.
video-storyboard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-storyboardst0012/cctop | Skill | 161 | 1mo ago | MIT | A | 202 | Claude Code, Codex |
| todosJetBrains/thinkrail | Skill | 8.0k | today | Apache-2.0 | A | 58 | Claude Code, Codex |
| agfsubinium/agf | Skill | 163 | 1mo ago | MIT | A | 49 | Claude Code, Codex |
| quotaaqua5230/usage | Skill | 347 | 2d ago | AGPL-3.0 | A | 26 | Claude Code |
| dropoveralivirgo/Major-AI-Skills | Skill | 2 | today | MIT | A | 23 | Claude Code |
| sq-do-not-disturbtrySideQuest-ai/sidequest | Skill | 8 | 6mo ago | MIT | A | 94 | Claude Code |
| sq-settingstrySideQuest-ai/sidequest | Skill | 8 | 6mo ago | MIT | A | 77 | Claude Code |