What is aliyun-wan-i2v?

Instructions for creating videos from images with Alibaba Cloud’s Wan 2.7 image-to-video model. The model can animate one image, connect a first and last image, extend a video, or use audio to guide generation.

It is for turning images into video, interpolating between two images, continuing an existing clip, and generating video driven by audio.

It explains the supported input types, model setup, asynchronous request process, and records needed to check or troubleshoot a generation task.

aliyun-wan-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-wan-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-wan-i2v/github.svg)](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-wan-i2v)

Your own site

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

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,958 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 137
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	$0.00065	$0.01958
Opus 5	$0.00032	$0.00979
Sonnet 5	$0.00013	$0.00392
Haiku 4.5	$0.00006	$0.00196

Measured 13d ago against content hash 1eb6fdd286d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aliyun-wan-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/generate_i2v.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-wan-i2v/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wan 2.7 Image-to-Video

Validation

mkdir -p output/aliyun-wan-i2v
python -m py_compile skills/ai/video/aliyun-wan-i2v/scripts/generate_i2v.py && echo "py_compile_ok" > output/aliyun-wan-i2v/validate.txt

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

Output And Evidence

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

Prerequisites

Install SDK (recommended in a venv):

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

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

Critical model names

wan2.7-i2v — supports first-frame, first+last frame, video continuation, and audio-driven generation

Capabilities

Capability	Description	Required media types
First-frame video	Generate video from a single image	`first_frame`
First+last frame	Interpolate video between two images	`first_frame` + `last_frame`
Video continuation	Extend an existing video clip	`first_clip`
Audio-driven	Drive video with audio (lip-sync, rhythm)	`first_frame` + `driving_audio`

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.

Normalized interface

Request

prompt (string, optional) — up to 5000 characters, describes desired video content
negative_prompt (string, optional) — up to 500 characters
media (array, required) — media objects with type and url fields:
- type: first_frame | last_frame | driving_audio | first_clip
- url: public URL (HTTP/HTTPS) or OSS temporary URL
resolution (string, optional) — 720P or 1080P (default: 1080P)
duration (integer, optional) — video length in seconds, range [2, 15] (default: 5)
prompt_extend (boolean, optional) — AI prompt rewriting (default: true)
watermark (boolean, optional) — add "AI generated" watermark (default: false)
seed (integer, optional) — range [0, 2147483647]

Read the full file on GitHub · 221 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 · 221 lines · 65 tokens per session scan A 1eb6fdd286d7

Subscribe to this mod's changes

aliyun-wan-i2v is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,958 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-wan-i2v