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 AceDataCloud/HappyHorseMCP --skill happyhorse-videogit clone --depth 1 https://github.com/AceDataCloud/HappyHorseMCPWrote 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/acedatacloud/happyhorsemcp/happyhorse-video)<a href="https://agentmods.dev/skills/acedatacloud/happyhorsemcp/happyhorse-video"><img src="https://agentmods.dev/badge/skills/acedatacloud/happyhorsemcp/happyhorse-video/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/acedatacloud/happyhorsemcp/happyhorse-video"><img src="https://agentmods.dev/badge/skills/acedatacloud/happyhorsemcp/happyhorse-video.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 | $0.00055 | $0.00330 |
| Opus 5.5 | $0.00022 | $0.00132 |
| Sonnet 5.5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
happyhorse-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 yesterday.
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
89% identical to suno-music — 14 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.
What it actually says
HappyHorse by Ace Data Cloud
Use the MCP tools installed by this plugin. Match tools by their suffix because goose namespaces them with happyhorse-by-acedatacloud.
- Read
../../README.mdfor installation and credential setup. The service API key belongs inACEDATACLOUD_API_TOKENin the environment that starts goose; never ask the user to paste it into chat. - A free connection/reference check uses
happyhorse_list_models. Static reference success is not a paid generation or a billing result. - For an explicitly requested generation/edit, inspect the installed tool schema first. Use
happyhorse_generate_videoas applicable. Do not invent model defaults or silently substitute another model/service. - Confirm current account access, balance and price; preserve any user spending cap. Do not generate merely to test installation or check progress.
- After one submission, retain the returned task ID. Use
happyhorse_get_taskto query that same ID, with the exact ID argument name from the schema. A pending result is not success; stop at terminal failure and preserve upstream meaning. Do not submit another generation to poll. - Report complete only with an explicit successful terminal status and returned media URLs. Never fabricate audio/image/video URLs or claim a unique billing record without checking the account's actual usage.
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.
- yesterday First seen · 17 lines · 55 tokens per session scan A 93ef134f06ae
happyhorse-video is a skill published in the GitHub repository AceDataCloud/HappyHorseMCP (0 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 330 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to suno-music, differing in 14 lines, and is treated as a copy.
Other skills, from other repositories
seedance-video
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happyhorse-video
Use HappyHorse through Ace Data Cloud in goose for HappyHorse text/image/reference video and editing. Use the installed service MCP tools; query the original task ID after generation. This plugin is maintained by Ace Data Cloud, not the service brand's official plugin.
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Use Nano Banana through Ace Data Cloud in goose for Nano Banana image generation and editing. Use the installed service MCP tools; query the original task ID after generation. This plugin is maintained by Ace Data Cloud, not the service brand's official plugin.
seedance-video
Use Seedance through Ace Data Cloud in goose for Seedance text-to-video and image-to-video. Use the installed service MCP tools; query the original task ID after generation. This plugin is maintained by Ace Data Cloud, not the service brand's official plugin.
suno-music
Use Suno through Ace Data Cloud in goose for Suno music, lyrics and covers. Use the installed service MCP tools; query the original task ID after generation. This plugin is maintained by Ace Data Cloud, not the service brand's official plugin.