
Alicloud Ai Video Wan Video Test
- 299 installs
- 396 repo stars
- Updated July 18, 2026
- cinience/alicloud-skills
alicloud-ai-video-wan-video-test is an Alibaba Cloud agent skill that tests Wan video generation on AliCloud for prompt fidelity, render success, and output format compliance across wan2.6 t2v and i2v models before publi
About
alicloud-ai-video-wan-video-test validates the cinience/alicloud-skills aliyun-wan-video provider skill for Alibaba Cloud Model Studio text-to-video and image-to-video generation. Test eight official Wan model strings including wan2.6-t2v, wan2.6-i2v-flash, wan2.6-i2v, wan2.2-t2v-plus, and regional variants via DashScope VideoSynthesis Python SDK. Normalized video.generate requests map prompt, negative_prompt, duration, fps, size (e.g. 1280*720), seed, reference_image, and motion_strength; i2v models require img_url while t2v models omit it. Validation runs py_compile on generate_video.py and stores task IDs, polling responses, and video URLs in output/aliyun-wan-video/. Async workflows use VideoSynthesis.async_call plus wait or manual polling. Reach for this skill before publishing generated clips in video-agent pipelines or when verifying DashScope auth and render quality.
- Wan video model on AliCloud
- Generative video smoke tests
- Prompt-to-clip validation
- Render job error detection
- Media output format checks
Alicloud Ai Video Wan Video Test by the numbers
- 299 all-time installs (skills.sh)
- Ranked #519 of 1,335 Generative Media skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-video-wan-video-testAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 299 |
|---|---|
| repo stars | ★ 396 |
| Last updated | July 18, 2026 |
| Repository | cinience/alicloud-skills ↗ |
How do you test Alibaba Cloud Wan video generation?
Test Wan video generation on AliCloud for prompt fidelity, render success, and output format compliance before publishing generated clips.
Who is it for?
Developers integrating DashScope Wan t2v/i2v video generation who need pre-production tests for auth, async polling, prompt fidelity, and output format compliance.
Skip if: Skip alicloud-ai-video-wan-video-test for reference-to-video R2V workflows, video editing with wan2.7-videoedit, or non-Alibaba generative video APIs.
When should I use this skill?
User asks to test Wan video generation, validate DashScope video.generate output, check prompt fidelity, or verify render format before publishing clips.
What you get
End-to-end run logs, task IDs, polling responses, and verified video_url outputs saved under output/aliyun-wan-video/.
- End-to-end run log
- Verified video_url output
- Task ID and polling snapshots
By the numbers
- Covers 8 official Wan video model strings on DashScope Model Studio
- Default test parameters: 4-second duration, 24 fps, 1280*720 size
Files
Category: service
Cloud Backup
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Cloud Backup.
Workflow
1) Confirm region, resource identifiers, and desired action. 2) Discover API list and required parameters (see references). 3) Call API with SDK or OpenAPI Explorer. 4) Verify results with describe/list APIs.
AccessKey priority (must follow)
1) Environment variables: ALIBABACLOUD_ACCESS_KEY_ID / ALIBABACLOUD_ACCESS_KEY_SECRET / ALIBABACLOUD_REGION_ID Region policy: ALIBABACLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. 2) Shared config file: ~/.alibabacloud/credentials
API discovery
- Product code:
hbr - Default API version:
2017-09-08 - Use OpenAPI metadata endpoints to list APIs and get schemas (see references).
High-frequency operation patterns
1) Inventory/list: prefer List* / Describe* APIs to get current resources. 2) Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations. 3) Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.
Minimal executable quickstart
Use metadata-first discovery before calling business APIs:
python scripts/list_openapi_meta_apis.pyOptional overrides:
python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>The script writes API inventory artifacts under the skill output directory.
Output policy
If you need to save responses or generated artifacts, write them under: output/aliyun-hbr-backup/
Validation
mkdir -p output/aliyun-hbr-backup
for f in skills/backup/aliyun-hbr-backup/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-hbr-backup/validate.txtPass criteria: command exits 0 and output/aliyun-hbr-backup/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-hbr-backup/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Prerequisites
- Configure least-privilege Alibaba Cloud credentials before execution.
- Prefer environment variables:
ALIBABACLOUD_ACCESS_KEY_ID,ALIBABACLOUD_ACCESS_KEY_SECRET, optionalALIBABACLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
interface:
display_name: "Alibaba Cloud Backup HBR"
short_description: "Cloud Backup vault and job workflows"
default_prompt: "Use $aliyun-hbr-backup to complete this backup task on Alibaba Cloud."
Sources
- OpenAPI product page:
https://api.aliyun.com/product/hbr - API list (metadata):
https://api.aliyun.com/meta/v1/products/hbr/versions/2017-09-08/api-docs.json - API definition (single API):
https://api.aliyun.com/meta/v1/products/hbr/versions/2017-09-08/apis/{ApiName}/api.json
#!/usr/bin/env python3
"""Fetch OpenAPI metadata API list for one product/version and save to output/.
Env:
- OPENAPI_META_TIMEOUT (seconds, default: 20)
"""
from __future__ import annotations
import argparse
import json
import os
import pathlib
import urllib.request
DEFAULT_PRODUCT_CODE = "hbr"
DEFAULT_VERSION = "2017-09-08"
OUTPUT_DIR = pathlib.Path("output/aliyun-hbr-backup")
def fetch_json(url: str, timeout: int) -> dict:
req = urllib.request.Request(url, headers={"User-Agent": "codex-skill"})
with urllib.request.urlopen(req, timeout=timeout) as resp:
return json.loads(resp.read().decode("utf-8"))
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--product-code", default=DEFAULT_PRODUCT_CODE)
parser.add_argument("--version", default=DEFAULT_VERSION)
parser.add_argument("--output-dir", default=str(OUTPUT_DIR))
args = parser.parse_args()
timeout = int(os.getenv("OPENAPI_META_TIMEOUT", "20"))
output_dir = pathlib.Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
url = (
f"https://api.aliyun.com/meta/v1/products/{args.product_code}"
f"/versions/{args.version}/api-docs.json"
)
payload = fetch_json(url, timeout)
raw_apis = payload.get("apis", {})
if isinstance(raw_apis, dict):
api_names = sorted(raw_apis.keys())
elif isinstance(raw_apis, list):
names = []
for item in raw_apis:
if isinstance(item, dict):
name = item.get("name") or item.get("apiName")
if name:
names.append(name)
elif isinstance(item, str):
names.append(item)
api_names = sorted(set(names))
else:
api_names = []
json_file = output_dir / f"{args.product_code}_{args.version}_api_docs.json"
md_file = output_dir / f"{args.product_code}_{args.version}_api_list.md"
json_file.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
md_lines = [
f"# {args.product_code} {args.version} API List",
"",
f"- Source: {url}",
f"- API count: {len(api_names)}",
"",
]
md_lines.extend([f"- `{name}`" for name in api_names])
md_file.write_text("\n".join(md_lines) + "\n", encoding="utf-8")
print(f"Saved: {json_file}")
print(f"Saved: {md_file}")
if __name__ == "__main__":
main()
Related skills
How it compares
Pick alicloud-ai-video-wan-video-test for t2v/i2v generation validation; use alicloud-ai-video-wan-r2v-test when input is reference video material instead of prompts or single images.
FAQ
Which Wan models does alicloud-ai-video-wan-video-test cover?
alicloud-ai-video-wan-video-test covers eight official model strings including wan2.6-t2v, wan2.6-t2v-us, wan2.2-t2v-plus, wan2.2-t2v-flash, wan2.6-i2v-flash, wan2.6-i2v, wan2.6-i2v-us, and wanx2.1-t2v-turbo on DashScope Model Studio.
What parameters does alicloud-ai-video-wan-video-test validate?
alicloud-ai-video-wan-video-test validates video.generate requests with prompt, optional negative_prompt, duration, fps, size (such as 1280*720), seed, reference_image for i2v models, and motion_strength. Missing img_url on i2v models triggers a Field required error.