agentmods.dev

video

A command for creating videos with Modellix from text prompts, images, or existing videos.

In plain words
What is it for?
It helps create text-to-video, image-to-video, and video-to-video outputs, then downloads them into a local folder.
Why use it?
It handles choosing an appropriate video model, waiting for the remote job, and saving the result without accidentally submitting the same paid job twice.

Command

1 21d ago A scan 18 tokens original MIT
View the source file Modellix/modellix-plugin
Install

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.

agentmods
npx agentmods add commands/modellix/modellix-plugin/video
Clone the repo
git clone --depth 1 https://github.com/Modellix/modellix-plugin
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.00420
Opus 5 $0.00009 $0.00210
Sonnet 5 $0.00004 $0.00084
Haiku 4.5 $0.00002 $0.00042

Measured 2d ago against content hash de261605a782, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

video 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 2d 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.

commands/video.md · 31 lines

What it actually says

description: Generate a video with Modellix from a prompt, an image, or a source video. argument-hint: [prompt] [optional image or video URL] disable-model-invocation: true

Generate a video with Modellix. Request: $ARGUMENTS

Follow the Modellix skill (skills/modellix/SKILL.md) for execution policy, credentials, and error handling. This command only fixes the routing.

  1. If $ARGUMENTS is empty, ask for a prompt instead of inventing one.
  2. Pick the model:
    • A slug named by the user wins; confirm it with modellix-cli model describe <slug> --json if unsure.
    • Text only → bytedance/seedance-2.0-mini-t2v ({"prompt": "..."}).
    • With an input image → bytedance/seedance-2.0-fast-i2v (needs one of first_frame_image, last_frame_image, reference_images).
    • With a source video → bytedance/seedance-2.0-fast-v2v ({"video_urls": ["<url>"]}).
  3. Submit, wait, and persist:
modellix-cli model run \
  --model-slug <slug> \
  --body '<json>' \
  --wait --timeout 10m --json

modellix-cli task download <task_id> --output-dir ./outputs --json
  1. One paid submit per invocation. If the outcome is unknown or ambiguous, run modellix-cli task history and recover the existing task — never re-run the same submission blindly.
  2. Video jobs often outlast the wait window. On exit code 124 the task is still running remotely: recover with modellix-cli task wait <task_id> --timeout 20m --json, then download. Do not submit again.
  3. Report the model slug, task id, and the local file paths.
Changes

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.

  1. 2d ago First seen · 31 lines · 0 tokens per session scan A de261605a782

Subscribe to this mod's changes

video is a command published in the GitHub repository Modellix/modellix-plugin (1 stars, last pushed 21d ago), licensed MIT. It adds 18 tokens to every session and 420 once invoked, about $0.0001 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 2026-08-31.

Creative and mediaagent-pluginagent-skillsclaude-code-pluginclaude-skillsclawhub-skillscodex-plugin
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