Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Galbaz1/video-research-mcp/plugin install grWrote 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/galbaz1/video-research-mcp/video-generation)<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/video-generation"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/video-generation/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/galbaz1/video-research-mcp/video-generation"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/video-generation.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 | $0.00044 | $0.01911 |
| Opus 5 | $0.00022 | $0.00955 |
| Sonnet 5 | $0.00009 | $0.00382 |
| Haiku 4.5 | $0.00004 | $0.00191 |
Grade A, and why
video-generation 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 11d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Generation
Generate AI video using Veo (MCP tools) or Sora (direct API script). This skill covers provider selection, generation modes, defaults, and the draft-to-final workflow.
For full tool references, model IDs, camera reliability data, and negative prompt blocks, see references/provider-details.md.
Provider Selection
Choose before writing prompts.
| Need | Provider | Why |
|---|---|---|
| Native audio, 4K output, style/asset references, video extension | Veo | Veo 3.1 has the richer media-control surface |
| 1080p production, text-heavy scenes, clean draft/final model split | Sora | sora-2 drafts + sora-2-pro finals is the most reliable loop |
| High-value hero shot, uncertain which provider wins | Both | Generate with both, pick winner from review evidence |
Decision rules:
- Veo when: native audio matters, you need 4K, you have style-anchor images for cross-clip consistency, or you need to extend an existing clip.
- Sora when: 1080p is sufficient, the scene has on-screen text, or the draft-to-pro upgrade path saves iteration time.
- Both when: the shot is expensive to reshoot and the extra cost of a bakeoff is justified.
Generation Modes
Text-to-Video
Prompt describes the scene. Both providers support this.
- Veo:
mcp__veo__generate_video-- supportsnumber_of_videos(1-4) for multi-take - Sora:
sora_direct.py create-and-poll-- single generation per call
Image-to-Video (I2V)
Animate a static image. Source image quality is critical.
- Veo:
mcp__veo__animate_image-- absolute path to source image required - Sora:
sora_direct.py create-and-poll --input-reference-- auto-resizes/crops source to match output size
Video Extension
Continue an existing clip with new content.
- Veo:
mcp__veo__extend_video_clip-- Veo 3.1 only, continues from last second - Sora:
sora_direct.py extend --id <video_id>-- extends by prompt
Styled Generation (Veo only)
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.
- 11d ago First seen · 175 lines · 44 tokens per session scan A 8b22bb1002e6
video-generation is a skill published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,911 once invoked, about $0.0002 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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