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 ssmurfgg04-gif/context-m --skill video-generationgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/video-generation)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/video-generation"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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/ssmurfgg04-gif/context-m/video-generation"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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 | $0.00058 | $0.07248 |
| Opus 5 | $0.00029 | $0.03624 |
| Sonnet 5 | $0.00012 | $0.01450 |
| Haiku 4.5 | $0.00006 | $0.00725 |
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 9d 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 — 1,083 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Generation Skill
This skill guides the implementation of video generation functionality using the z-ai-web-dev-sdk package, enabling AI models to create videos from text descriptions or images through asynchronous task processing.
Skills Path
Skill Location: {project_path}/skills/video-generation
This skill is located at the above path in your project.
Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/video.ts for a working example.
Overview
Video Generation allows you to build applications that can create video content from text prompts or images, with customizable parameters like resolution, frame rate, duration, and quality settings. The API uses an asynchronous task model where you create a task and poll for results.
IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
Prerequisites
The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
CLI Usage (For Simple Tasks)
For simple video generation tasks, you can use the z-ai CLI instead of writing code. The CLI handles task creation and polling automatically, making it ideal for quick tests and simple automation.
Basic Text-to-Video
# Generate video with automatic polling
z-ai video --prompt "A cat playing with a ball" --poll
# Using short options
z-ai video -p "Beautiful landscape with mountains" --poll
Custom Quality and Settings
# Quality mode (speed or quality)
z-ai video -p "Ocean waves at sunset" --quality quality --poll
# Custom resolution and FPS
z-ai video \
-p "City timelapse" \
--size "1920x1080" \
--fps 60 \
--poll
# Custom duration (5 or 10 seconds)
z-ai video -p "Fireworks display" --duration 10 --poll
Image-to-Video
IMPORTANT: For image_url parameter, it is strongly recommended to use base64-encoded image data instead of URLs. This approach is more reliable and avoids potential network issues or access restrictions.
What ships with it
2 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.
- 9d ago First seen · 1,083 lines · 58 tokens per session scan A 7e56cadfdf8b
Video Generation is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 7,248 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 2026-09-03.
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