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 leynos/visual-storytelling-skills --skill video-generatorgit clone --depth 1 https://github.com/leynos/visual-storytelling-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/leynos/visual-storytelling-skills/video-generator)<a href="https://agentmods.dev/skills/leynos/visual-storytelling-skills/video-generator"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/video-generator/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/leynos/visual-storytelling-skills/video-generator"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/video-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.03708 |
| Opus 5.5 | $0.00043 | $0.01483 |
| Sonnet 5.5 | $0.00022 | $0.00742 |
| Haiku 4.5 | $0.00011 | $0.00371 |
Grade A, and why
video-generator 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Generator
Turns a completed shot-specifier handoff into generated video clips through the
Higgsfield Model Context Protocol (MCP). This skill begins only after
shot-specifier Phase 8 has produced prompt files, storyboard frames, model routing,
generation strategies, explicit audio-generation preferences, and
prompts/manifest.md. scene-inventory-extractor-v2 stops at its Phase 13 handoff and
is not a direct input to production video generation.
Do not use this skill for image generation; use nanobanana through
scene-inventory-extractor-v2 or shot-specifier for that. Do not backfill missing
scene analysis or shot direction here; hand back to scene-inventory-extractor-v2 or
shot-specifier when upstream fields are absent.
This skill owns the operational gap between "prompt written" and "clip exists on disk": resolve local paths, upload or register media, cache returned handles, submit jobs, poll until terminal status, download outputs, record retakes, and write assembly order. A shot is not complete until a local video file exists or a blocker is recorded.
The job is to be boringly competent: choose an approved Higgsfield video model, pass the right images in the right roles, submit resumable jobs, and leave enough state that a later agent can continue without guessing.
Read Before Running
- For execution validation, live-schema constraints, default overrides, and empirical
output checks, read references/model-routing.md.
Model choice and model-native prompt ordering are owned upstream by
shot-specifier/references/model-routing.md; do not re-route shots here unless the manifest is being explicitly repaired. - For Seedance 2.0-specific multimodal reference planning, prompt structure, duration
defaults, quality/speed decisions, and troubleshooting, load
seedance-2-deep-divewhenever a job usesseedance_2_0. - For Kling 3.0-specific shot structure, camera language, Elements, Motion Control,
native audio/dialogue, product prompting, and troubleshooting, load
kling-3-0-deep-divewhenever a job useskling3_0. - For converting structured
[TAG]prompt files into model-native prompt strings, read references/prompt-flattening.md. - For shots with key frames, read references/key-frame-decomposition.md.
- For media uploads and job state, read references/media-upload-and-state.md.
- For what Firecrawl confirmed about the public Higgsfield MCP and SDK surfaces, read references/higgsfield-mcp-research.md.
What ships with it
8 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.
- 2mo ago First seen · 286 lines · 108 tokens per session scan A c1fa30722e65
video-generator is a skill published in the GitHub repository leynos/visual-storytelling-skills (9 stars, last pushed 29d ago), licensed ISC. It adds 108 tokens to every session and 3,708 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 2026-08-31.
video-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-generatorleynos/visual-storytelling-skills | Skill | 9 | 29d ago | ISC | A | 108 | Codex |
| wavespeedWaveSpeedAI/wavespeed-cli | Skill | 26 | 2d ago | MIT | A | 81 | Claude Code, Codex |
| imagesmixs/visual-skills | Skill | 632 | 2d ago | CC-BY-4.0 | A | 163 | Claude Code |
| ai-hive-simulate-ali-abdaalwubin1836/ai-hive-agent-skills | Skill | 23 | 28d ago | MIT | A | 321 | Codex |
| ai-hive-simulate-aravind-srinivaswubin1836/ai-hive-agent-skills | Skill | 23 | 28d ago | MIT | A | 338 | Codex |
| ai-hive-simulate-baoyu-xpwubin1836/ai-hive-agent-skills | Skill | 23 | 28d ago | MIT | A | 305 | Codex |
| ai-hive-simulate-berryxia-aiwubin1836/ai-hive-agent-skills | Skill | 23 | 28d ago | MIT | A | 319 | Codex |