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 godot-fun/godot-framework --skill storyboardgit clone --depth 1 https://github.com/godot-fun/godot-frameworkWrote 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/godot-fun/godot-framework/storyboard)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/storyboard"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/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/godot-fun/godot-framework/storyboard"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/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 | $0.00099 | $0.01624 |
| Opus 5.5 | $0.00040 | $0.00650 |
| Sonnet 5.5 | $0.00020 | $0.00325 |
| Haiku 4.5 | $0.00010 | $0.00162 |
Grade A, and why
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 1mo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storyboard
From user materials only, produce:
- Narration per shot — Chinese and English (both required unless user opts out)
- Video prompt per shot — ready for i2v / t2v
Do not invent product facts, prices, logos, or claims not in the materials. Style and length are agent-chosen from the content (no fixed genre or duration).
Inputs
Any mix of stills, clips, text brief, and constraints. Optional: a delivery file path.
If goal/audience is ambiguous, state one short assumption and proceed. Ask only when a missing fact would make the storyboard unusable.
Delivery
| Mode | Behavior |
|---|---|
| User gives a file path | Write the full storyboard markdown to that path. Chat: short confirm (path, runtime, shot count) only |
| No path | Full storyboard in chat |
Treat a path as the output file when:
- User says write to / save as / put in + path
- Skill request is paired with one main
.md/.txtdocument - Path is an empty or draft file clearly opened for this output
Rules:
- Always read the target file first if it exists. Non-empty body = text material; then replace with the full storyboard (keep useful facts in
## Materials/ Spine). - One doc + images → write to the doc; images are materials only.
- Explicit output path + separate brief → write only to the output path.
- Several docs, unclear target → prefer the path next to the skill invoke; if still ambiguous, ask once.
- User names a directory only → create
storyboard.mdthere.
Workflow
- Detect delivery target (file vs chat)
- Inventory materials (read delivery file if present)
- Infer Visual Style (once for the whole piece)
- Design story spine (hook → develop → payoff / CTA)
- Break into shots (one clear idea each; duration free) — Shot 01 is the eyeball grab (see Shot 01)
- Write bilingual VO + video prompt per shot
- Write Assembly (after Spine), then Shots
- Consistency pass; deliver in required format
Visual Style (once)
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.
- 1mo ago First seen · 170 lines · 99 tokens per session scan A 735964727f1e
storyboard is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,624 once invoked, about $0.0004 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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