What is aliyun-happyhorse-i2v?

A video-generation workflow that turns one starting image into a video using Alibaba Cloud’s HappyHorse 1.0 model, with optional text guidance.

Use it to create a video from a single first-frame image and track the request until a video URL is available.

It removes the need to build the video-generation request and asynchronous status checks yourself.

aliyun-happyhorse-i2v — Skill for Claude Code and Codex by cinience

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.

Any agent

npx skills add cinience/alicloud-skills --skill aliyun-happyhorse-i2v

Clone the repo

git clone --depth 1 https://github.com/cinience/alicloud-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v/github.svg)](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v)

Your own site

<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-happyhorse-i2v.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,977 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Rogue Agent · line 11
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
medium Data Exfiltration · line 124
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00067	$0.01977
Opus 5	$0.00034	$0.00988
Sonnet 5	$0.00013	$0.00395
Haiku 4.5	$0.00007	$0.00198

Measured 13d ago against content hash f2f88da9a39b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aliyun-happyhorse-i2v scanned grade A with 1 finding 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/i2v_happyhorse.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

resp = requests.post(

skills/ai/video/aliyun-happyhorse-i2v/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HappyHorse 1.0 Image-to-Video (First Frame)

Validation

mkdir -p output/aliyun-happyhorse-i2v
python -m py_compile skills/ai/video/aliyun-happyhorse-i2v/scripts/i2v_happyhorse.py && echo "py_compile_ok" > output/aliyun-happyhorse-i2v/validate.txt

Pass criteria: command exits 0 and output/aliyun-happyhorse-i2v/validate.txt is generated.

Output And Evidence

Save task IDs, polling responses, and final video URLs to output/aliyun-happyhorse-i2v/.
Keep at least one end-to-end run log for troubleshooting.

Prerequisites

Install dependencies (recommended in a venv):

python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Critical model names

happyhorse-1.0-i2v — first-frame image-to-video; output aspect ratio follows the input image automatically

Capabilities

Capability	Description	Required media
First-frame video	Generate a video from one first-frame image, optionally guided by a text prompt	`first_frame` (exactly 1)

API endpoint (async only)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis

Required headers:

Authorization: Bearer $DASHSCOPE_API_KEY
Content-Type: application/json
X-DashScope-Async: enable

Singapore endpoint: replace dashscope.aliyuncs.com with dashscope-intl.aliyuncs.com.

Polling endpoint: GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id} — recommended interval 15s.

Normalized interface

Request

model (string, required) — fixed happyhorse-1.0-i2v
input.prompt (string, optional) — up to 5000 non-CJK / 2500 CJK characters
input.media (array, required) — exactly one element with:
- type: first_frame
- url: public HTTP/HTTPS URL of the first-frame image
parameters.resolution (string, optional) — 720P or 1080P (default: 1080P)
parameters.duration (integer, optional) — video length in seconds, range [3, 15] (default: 5)
parameters.watermark (boolean, optional) — bottom-right "Happy Horse" watermark (default: true)
parameters.seed (integer, optional) — range [0, 2147483647]

Read the full file on GitHub · 205 lines

Files

What ships with it

3 files 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.

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.

13d ago First seen · 205 lines · 67 tokens per session scan A f2f88da9a39b

Subscribe to this mod's changes

aliyun-happyhorse-i2v is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,977 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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aliyun-happyhorse-i2v