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 sugarforever/boring-video-studio --skill to-scenesgit clone --depth 1 https://github.com/sugarforever/boring-video-studioWrote 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/sugarforever/boring-video-studio/to-scenes)<a href="https://agentmods.dev/skills/sugarforever/boring-video-studio/to-scenes"><img src="https://agentmods.dev/badge/skills/sugarforever/boring-video-studio/to-scenes/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/sugarforever/boring-video-studio/to-scenes"><img src="https://agentmods.dev/badge/skills/sugarforever/boring-video-studio/to-scenes.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 | $0.00036 | $0.00833 |
| Opus 5.5 | $0.00014 | $0.00333 |
| Sonnet 5.5 | $0.00007 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
to-scenes 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 10d 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 — 27 lines — stays where its author put it; the contents beside it link to each section on GitHub.
To scenes
Turn BEATS.md and NARRATION.md into SCENES.md. A scene is a small event in a world, not a container for information. Its visuals serve the narration: they reveal, demonstrate, compare, or hold exactly when the spoken idea needs them.
Process
- Read both inputs, the applicable design truth, and
references/hyperframes-capability-envelope.md. Recompute the beats and narration artifact digests; continue only when the narration'ssource_digestmatches the current beats and both stored artifact digests match their files. The envelope constrains feasibility without prescribing implementation. Treat narration as revisable evidence, not a locked timeline. - Find a physical or spatial expression for each abstract beat: give the concept a body, put it in a world, and cause a visible state change. Coordinate that change with the narration's explanation, emphasis, and pauses instead of designing a separate visual performance.
- Group beats that belong to one continuous event; split a beat when its explanation requires distinct visual events.
- Design the film as a whole: establish a continuity object or motion, vary worlds and shot scales, place visual peaks, and name the rhythm.
- Flag narration sentences whose order, length, or duplication fights the visual event. Revise
NARRATION.mdonly after preserving the originating beat's claim and job. After any revision, recompute itsartifact_digestand revalidate its beats and article lineage before using it as a source. - Write
SCENES.mdusingreferences/scene-format.md. Read that file before drafting or auditing scenes, and record the current beats and narration digests. For every demonstration, define the exact visible sequence, choose its truth mode, and declare how every code surface is labeled; do not leave those decisions for production. - Create or select the single HyperFrames review project and record its path and revision in
SCENES.md. Build each scene's smallest useful 16:9 proof: Hero when one state is sufficient, Start/Hero/End when change or continuity must be judged, and additional states only for a named risk. Use real typography, near-final copy, and real code or evidence-backed terminal components wherever those determine the result. Embed or link those proof images from the owning scene section inSCENES.md, with their state IDs and project revision. - Classify every scene's feasibility using the capability envelope, naming dependencies and fallbacks where required.
- Run the scene audit in the format reference. If narration changes after scenes exist, revise every affected scene, refresh
source_narration_digest, recompute the scenesartifact_digest, mark affected rendered proof stale, and repeat the audit before completion.
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.
- 10d ago Changed 48c3481fd1ea
- 12d ago Changed 8184fd8661cb
- 16d ago Changed · +3 lines 24de23289acd
- 21d ago Changed · +2 lines 00055012f6bf
- 26d ago Changed 34fd18046e8b
- 1mo ago First seen · 22 lines · 36 tokens per session scan A 6be0e6cebb80
to-scenes is a skill published in the GitHub repository sugarforever/boring-video-studio (184 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 833 once invoked, about $0.0001 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.
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