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 artokun/comfyui-mcp --skill video-extendgit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote 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/artokun/comfyui-mcp/video-extend)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/video-extend"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/video-extend/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/artokun/comfyui-mcp/video-extend"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/video-extend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00146 | $0.07311 |
| Opus 5 | $0.00073 | $0.03655 |
| Sonnet 5 | $0.00029 | $0.01462 |
| Haiku 4.5 | $0.00015 | $0.00731 |
Grade A, and why
video-extend 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- video-extend — 89% identical, 340 lines differ
How it starts
The opening of the file, as written. The whole thing — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Extension (Pusa 2.2 — temporal flowmatching)
Overview
Pusa extends a video temporally. It continues and lengthens an existing clip
rather than regenerating it from scratch. It does this on the
ComfyUI-WanVideoWrapper stack (kijai) using the WAN 2.2 T2V A14B dual
HIGH/LOW models you already have for wan-t2v-video, plus the small Pusa V1
LoRAs and a Pusa-specific sampling path: the flowmatch_pusa scheduler and
the WanVideoAddPusaNoise node. The input clip is encoded with
WanVideoEncode and injected as the first latents of the generation, which
is what carries the existing motion and content into the continuation.
The official reference graph is kijai's
wanvideo_2_2_14B_Pusa_extension_example_01.json (in
ComfyUI-WanVideoWrapper/example_workflows/). This skill is built directly from
that workflow plus the live node schemas.
Relationship to
wan-t2v-video: Pusa rides on the exact same WanVideoWrapper stack. Same T2V A14B HIGH/LOW fp8 models, same UMT5 text encoder, same WAN VAE, same block-swap/torch-compile machinery. The only new downloads are the two Pusa V1 LoRAs (~1.9 GB total). Readwan-t2v-videofirst for the base stack; this skill is the temporal-extension delta on top of it.
Verification note: every node, model, LoRA filename and setting below was confirmed against the live ComfyUI
/object_info(WanVideoWrapper installed) and against kijai's example workflow JSON + HF repo (June 2026). Where a value is a starting recommendation rather than a hard requirement it's flagged. Don't substitute a node you can't confirm withinstall_custom_node(action: "list") /create_workflow (action:"node_info").
What "temporal flowmatching" means here (why it extends, not regenerates)
WAN is a flow-matching video model: sampling integrates a velocity field from noise to a clean latent, and every frame normally shares the same denoising timestep. Pusa's contribution (Vectorized Timestep Adaptation) is to make the timestep per-frame. The frames you already have can be held at (or near) t = 0 (clean) while the new frames start from t = 1 (noise), and the model flow-matches the noisy tail conditioned on the clean head.
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 · 488 lines · 146 tokens per session scan A f180c2714b27
video-extend is a skill published in the GitHub repository artokun/comfyui-mcp (739 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 7,311 once invoked, about $0.0007 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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