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 genmedia-labs/skills --skill happyhorse-1-0git clone --depth 1 https://github.com/genmedia-labs/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/genmedia-labs/skills/happyhorse-1-0)<a href="https://agentmods.dev/skills/genmedia-labs/skills/happyhorse-1-0"><img src="https://agentmods.dev/badge/skills/genmedia-labs/skills/happyhorse-1-0/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/genmedia-labs/skills/happyhorse-1-0"><img src="https://agentmods.dev/badge/skills/genmedia-labs/skills/happyhorse-1-0.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 | $0.00156 | $0.02612 |
| Opus 5 | $0.00078 | $0.01306 |
| Sonnet 5 | $0.00031 | $0.00522 |
| Haiku 4.5 | $0.00016 | $0.00261 |
Grade A, and why
happyhorse-1-0 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.
This is a copy
100% identical to happyhorse-1-0 — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HappyHorse 1.0 — Pro Pack on RunComfy
runcomfy.com · Text-to-video · GitHub
HappyHorse 1.0 — currently #1 on Artificial Analysis Video Arena (Elo 1333 t2v / 1392 i2v) — hosted on the RunComfy Model API. Native 1080p video with in-pass synchronized audio (dialogue, ambient, Foley) and multi-shot character consistency.
npx skills add agentspace-so/runcomfy-skills --skill happyhorse-1-0 -g
When to pick this model (vs siblings)
| You want | Use |
|---|---|
| Multi-shot story with character / wardrobe consistency | HappyHorse 1.0 |
| Native audio in the same generation pass | HappyHorse 1.0 |
| Currently-#1 blind-vote video model | HappyHorse 1.0 |
| Detailed lip-synced dialogue + reference video | Seedance 2.0 Pro |
| Fine motion control + multi-reference conditioning | Wan 2.7 |
| Ultra-fast iteration (sub-second per frame) | LTX 2 |
| Cinematic motion editing on existing footage | Kling Video O1 |
If the user said "HappyHorse" / "happy horse video" explicitly, route here regardless.
Prerequisites
- RunComfy CLI —
npm i -g @runcomfy/cli - RunComfy account —
runcomfy loginopens a browser device-code flow. - CI / containers — set
RUNCOMFY_TOKEN=<token>instead ofruncomfy login.
Endpoints + input schema
happyhorse/happyhorse-1-0/text-to-video
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
prompt |
string | yes | — | Up to 2,500 chars. 6 languages (CN/EN/JP/KR/DE/FR). |
aspect_ratio |
enum | no | 16:9 |
16:9, 9:16, 1:1, 4:3, 3:4 only. |
resolution |
enum | no | 1080P |
720P or 1080P. |
duration |
int | no | 5 | 3–15 seconds. |
seed |
int | no | 0 | 0..2^31-1. Reuse for variant comparisons. |
watermark |
bool | no | true | Provider watermark. |
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 · 196 lines · 156 tokens per session scan A eaca8bb73e04
happyhorse-1-0 is a skill published in the GitHub repository genmedia-labs/skills (6 stars, last pushed 5d ago), licensed MIT. It adds 156 tokens to every session and 2,612 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to happyhorse-1-0, differing in 0 lines, and is treated as a copy.
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