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 prime-skills/runcomfy-agent-skills --skill ai-video-generationgit clone --depth 1 https://github.com/prime-skills/runcomfy-agent-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/prime-skills/runcomfy-agent-skills/ai-video-generation)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/ai-video-generation"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/ai-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/prime-skills/runcomfy-agent-skills/ai-video-generation"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/ai-video-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00276 | $0.06802 |
| Opus 5 | $0.00138 | $0.03401 |
| Sonnet 5 | $0.00055 | $0.01360 |
| Haiku 4.5 | $0.00028 | $0.00680 |
Grade A, and why
ai-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 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.
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
4 near-identical copies found in the catalogue:
- ai-video-generation — 100% identical, 0 lines differ
- ai-video-generation — 100% identical, 0 lines differ
- ai-video-generation — 100% identical, 0 lines differ
- ai-video-generation-runcomfy — 98% identical, 29 lines differ
How it starts
The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Video Generation
Generate videos with the full RunComfy video-model catalog through one CLI — text-to-video, image-to-video, and Veo's video-extend. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact runcomfy run invoke for each.
runcomfy.com · Video models · CLI docs
Powered by the RunComfy CLI
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli # or: npx -y @runcomfy/cli --version
# 2. Sign in
runcomfy login # or in CI: export RUNCOMFY_TOKEN=<token>
# 3. Generate
runcomfy run <vendor>/<model>/<endpoint> \
--input '{"prompt": "..."}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
Install this skill
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-video-generation -g
Pick the right model for the user's intent
Text-to-video (t2v) — newest first
HappyHorse 1.0 — happyhorse/happyhorse-1-0/text-to-video (default)
Currently #1 on Artificial Analysis Video Arena. Native synchronized audio generated in-pass (no separate Foley step). Native 1080p, up to ~15s, strong multi-shot character consistency. Pick for: general-purpose t2v, ad creative with audio, social-media clips, multi-shot narratives. Avoid for: audio-driven lip-sync to a specific voiceover MP3 — use Wan 2-7.
Kling 3.0 4K — kling/kling-3.0/4k/text-to-video
Kling's latest, 4K output, strong multi-shot character identity, premium camera language. Pick for: hero shots, final-delivery 4K cuts, multi-shot character narratives. Avoid for: cost-sensitive iteration — drop to Kling 2-6 Pro or Standard i2v.
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 · 425 lines · 276 tokens per session scan A 76511e833124
ai-video-generation is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 4mo ago), licensed MIT. It adds 276 tokens to every session and 6,802 once invoked, about $0.0014 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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