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 satasuk03/media-gen-skills --skill grok-imagine-videogit clone --depth 1 https://github.com/satasuk03/media-gen-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/satasuk03/media-gen-skills/grok-imagine-video)<a href="https://agentmods.dev/skills/satasuk03/media-gen-skills/grok-imagine-video"><img src="https://agentmods.dev/badge/skills/satasuk03/media-gen-skills/grok-imagine-video/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/satasuk03/media-gen-skills/grok-imagine-video"><img src="https://agentmods.dev/badge/skills/satasuk03/media-gen-skills/grok-imagine-video.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 | $0.00071 | $0.01706 |
| Opus 5 | $0.00036 | $0.00853 |
| Sonnet 5 | $0.00014 | $0.00341 |
| Haiku 4.5 | $0.00007 | $0.00171 |
Grade A, and why
grok-imagine-video scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Python 3.9+ with stdlib only — no SDK required (the script uses `urllib`). If the user prefers the official SDK, `pip install xai-sdk` and use the snippets in `references/examples.md`. The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 106 lines · 71 tokens per session scan A 7b883f7aaf00
grok-imagine-video is a skill published in the GitHub repository satasuk03/media-gen-skills (3 stars, last pushed 4mo ago), with no licence file. It adds 71 tokens to every session and 1,706 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
gpt-image
Generate or edit images with GPT Image 2 or 2.5 through the packaged CLI and Reference Gallery. Use for image requests including imprecise 'GPT 2.5' model names, posters, typography, reference edits, and inpainting; resolve the model choice before generation.
get-prompt-from-image
Analyze user-provided reference images and reverse-engineer high-fidelity AI image-generation prompts. Use when the user asks to recreate, imitate, reverse-engineer, or extract prompts from photographs, illustrations, 3D renders, products, characters, landscapes, typography, logos, posters, or other visual references.…
gpt-image-2-prompt-engine
A structured prompt-writing tool for GPT-Image-2, using reusable JSON templates and a four-step workflow. It is designed for controlled commercial images such as product photos, posters, infographics, brand visuals, UI screenshots, and character designs.
gpt-image2-ppt
A tool for creating presentation slides as high-resolution images and packaging them into a 16:9 PowerPoint file. It turns a Markdown outline or slide plan into a styled deck using OpenAI image generation.
gpt-image-2-gen
GPT Image 2 AI image generation via EvoLink API. Supports text-to-image, image-to-image editing, batch generation. Multiple sizes (ratio & pixel), resolutions (1K/2K/4K), quality levels (low/medium/high). Works with OpenClaw, Claude Code, OpenCode, Cursor. Powered by OpenAI GPT Image 2.
craft-diorama-still-life
A skill for turning an article, opinion, or product claim into a handcrafted object-metaphor still-life prompt.