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 kyh/vibedgames --skill storytellinggit clone --depth 1 https://github.com/kyh/vibedgamesWrote 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/kyh/vibedgames/storytelling)<a href="https://agentmods.dev/skills/kyh/vibedgames/storytelling"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/storytelling/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/kyh/vibedgames/storytelling"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/storytelling.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 | $0.00050 | $0.01051 |
| Opus 5 | $0.00025 | $0.00526 |
| Sonnet 5 | $0.00010 | $0.00210 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
storytelling 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storytelling with vg generate
Use this skill when the user wants a sequence, not a single asset. Load references as needed:
references/shot-planning.mdreferences/workflows.mdreferences/examples.md
Load model-catalog alongside this skill for default endpoint choices.
The goal is to produce clear story beats and executable vg generate runs. Avoid generic inspiration copy, fake dialogue, and em dashes.
Inputs to collect
Ask only when missing information affects execution.
- Format: ad, short film, music video, documentary, tutorial, social story.
- Duration and aspect ratio.
- Number of shots or allowed range.
- Main subject, character, product, or location.
- Continuity anchors: character, product, wardrobe, environment, color.
- Source media: first frame, reference image, product shot, audio track.
- Audio needs: narration, music, sound design, transcript, no audio.
- Preferred model:
model-catalogdefaults unless the user names one.
Genmedia workflow
Follow the standard workflow in the generate skill: resolve endpoint → inspect schema/pricing → upload references (first frame, character, product, voiceover) → run each shot --async + status → download to ./outputs/story/{request_id}_{index}.{ext}. Default endpoint IDs are in the Model routing section below.
Then choose the sequence route:
- Highest quality video: start with Seedance 2.0 endpoints from
model-catalog. - Native multi-prompt: use if schema has shot arrays, prompt lists, or timeline fields.
- First/last frame: controlled transitions between key frames.
- Image-to-video per shot: maximum continuity from approved stills.
- Manual per-shot generation: when the model only supports one prompt.
- Audio-first: generate or upload audio, then plan visual shot lengths.
- Lip-sync or talking avatar: Fabric 1.0 or Creatify Aurora from
model-catalog.
Return a shot table with endpoint, request id, prompt summary, local path, and any continuity issues. Genmedia downloads clips; it does not replace a timeline editor unless the chosen model returns a complete stitched video.
What ships with it
3 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 First seen · 111 lines · 50 tokens per session scan A 94adb82ab103
storytelling is a skill published in the GitHub repository kyh/vibedgames (55 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,051 once invoked, about $0.0003 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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