Alibaba Cloud Video Forge

One-stop video processing through Alibaba Cloud Media Processing Service (MPS), including cover generation, multi-resolution transcoding, content moderation, and more.

🚀 Quick Start

Easiest Way - One-click video processing:

bash

# Method 1: Use end-to-end workflow script (Recommended)
python scripts/video_workflow.py --input /path/to/video.mp4

# Method 2: Check environment first
python scripts/health_check.py

# Method 3: Execute steps manually
python scripts/oss_upload.py --local-file video.mp4 --oss-key input/video.mp4
python scripts/mps_transcode.py --oss-object input/video.mp4 --preset multi
python scripts/mps_audit.py --oss-object input/video.mp4

Common Scenarios

Scenario 1: Bilibili Video Publishing

bash

python scripts/video_workflow.py \
  --input my_video.mov \
  --preset 720p \
  --generate-cover \
  --scenes porn terrorism ad

Scenario 2: UGC Content Moderation

bash

python scripts/mps_audit.py --oss-object /input/user_uploaded.mp4

Scenario 3: Multi-Resolution Transcoding

bash

python scripts/mps_transcode.py \
  --oss-object /input/course_video.mp4 \
  --preset multi \
  --output-prefix output/course_2024/

Scenario Description

This skill supports video distribution scenarios:

Transcoding — Multi-resolution transcoding with Narrowband HD compression
Content Moderation — Auto-detect sensitive content (pornography, terrorism, advertising)
Snapshot — Generate cover images and sprite sheets
Anti-piracy — Configure encryption for content protection

Architecture

OSS Bucket + MPS Pipeline + Transcoding Templates + Moderation Service

Components:

OSS: Store videos and outputs
MPS Pipeline: Task queue management
Transcoding Templates: Narrowband HD, Standard presets
Moderation: Auto content safety checks

Target Users: Video platforms, content creators, corporate training, education platforms

Capability Overview

See references/capability-overview.md for detailed feature tree and automatic pipeline management.

Prerequisites

Pre-check: Aliyun CLI >= 3.3.1 required Run
aliyun version
to verify >= 3.3.1. If not installed, see
references/cli-installation-guide.md
. Then [MUST] run
aliyun configure set --auto-plugin-install true
to enable automatic plugin installation.

Pre-check: Python >= 3.10 required Run
python3 --version
to verify.

Pre-check: Alibaba Cloud Credentials Required
Run
aliyun configure list
to check credential status. If no valid profile, configure via
aliyun configure
. See references/security-guidelines.md for credential security rules.

Environment Variables

Required environment variables:

```
ALIBABA_CLOUD_REGION
```
- Service region (default: cn-shanghai)
```
ALIBABA_CLOUD_OSS_BUCKET
```
- OSS Bucket name
```
ALIBABA_CLOUD_OSS_ENDPOINT
```
- OSS endpoint
```
ALIBABA_CLOUD_MPS_PIPELINE_ID
```
- MPS Pipeline ID (optional, auto-selected if not set)

Security Note: Credentials are managed via the Alibaba Cloud default credential chain. Configure credentials using
aliyun configure
command. NEVER handle AK/SK directly in scripts or commands.

🔒 Security Guidelines

See references/security-guidelines.md for complete security guidelines and credential management best practices.

SDK Installation

See references/sdk-installation.md for detailed installation guide and troubleshooting.

Run
python3 --version
to verify. Some scripts may fail with older Python versions.

RAM Permissions

[MUST] RAM Permission Pre-check: Verify that the current user has the following RAM permissions before execution. See
references/ram-policies.md
for complete permission list and details.

[MUST] Permission Failure Handling: When any command or API call fails due to permission errors at any point during execution, follow this process:
Read
references/ram-policies.md
to get the full list of permissions required by this SKILL
Use
ram-permission-diagnose
skill to guide the user through requesting the necessary permissions
Pause and wait until the user confirms that the required permissions have been granted

Parameter Confirmation

IMPORTANT: Parameter Confirmation — Before executing any command or API call, ALL user-customizable parameters (e.g., input video path, output bucket, template ID, etc.) MUST be confirmed with the user. Do NOT assume or use default values without explicit user approval.

Parameter	Required/Optional	Description	Default
input-url	Required	Input video URL or local path	-
output-bucket	Optional	Output OSS Bucket	Environment variable value
output-path	Optional	Output path prefix	output/
template-id	Optional	Transcoding template ID	System preset template
resolutions	Optional	Transcoding resolution list	720p,1080p
audit	Optional	Whether to perform content moderation	true
pipeline-id	Optional	MPS Pipeline ID	Auto-select

Core Workflow

Scenario 1: One-stop Video Standardization

Complete workflow: User provides video → Upload to OSS → Media info probe → Cover generation (snapshot) → Multi-resolution transcoding → Content moderation → Summary results (with download links)

Step 0: Automatic Pipeline Selection (Optional)

This skill supports automatic pipeline management, typically no manual Pipeline ID configuration needed. Scripts automatically select appropriate pipelines based on task type.

To manually specify:

bash

# Method 1: Set environment variable (highest priority)
export ALIBABA_CLOUD_MPS_PIPELINE_ID="your-pipeline-id"

# Method 2: Command line parameter
python scripts/mps_transcode.py --oss-object /input/video.mp4 --pipeline-id your-pipeline-id

# Method 3: Use script auto-selection
export ALIBABA_CLOUD_MPS_PIPELINE_ID=$(python scripts/mps_pipeline.py --select)

Step 1: Upload Video to OSS

bash

source .venv/bin/activate
python scripts/oss_upload.py --local-file /path/to/video.mp4 --oss-key input/video.mp4

Step 2: Media Info Probe

bash

python scripts/mps_mediainfo.py --oss-object /input/video.mp4

Step 3: Cover Generation (Snapshot)

Use snapshot function to generate video cover at specified time:

bash

python scripts/mps_snapshot.py --oss-object /input/video.mp4 --mode normal --time 5000

Step 4: Adaptive Transcoding (Auto-select best resolution and Narrowband HD template)

bash

# Adaptive mode: Auto-detect source video resolution, select best quality, use Narrowband HD template
python scripts/mps_transcode.py --oss-object /input/video.mp4

# Or manually specify multi-stream transcoding
python scripts/mps_transcode.py \
  --oss-object /input/video.mp4 \
  --preset multi

Step 5: Content Moderation

bash

python scripts/mps_audit.py --oss-object /input/video.mp4

Step 6: Poll Task Status

bash

python scripts/poll_task.py --job-id <job-id-from-step-4> --job-type transcode --region cn-shanghai

Complete Example

bash

# 1. Activate virtual environment
source .venv/bin/activate

# 2. Upload video
python scripts/oss_upload.py --local-file ./my_video.mp4 --oss-key input/my_video.mp4

# 3. Get media info
python scripts/mps_mediainfo.py --oss-object /input/my_video.mp4

# 4. Cover generation (snapshot at 5 seconds)
python scripts/mps_snapshot.py --oss-object /input/my_video.mp4 --mode normal --time 5000

# 5. Submit transcoding job (adaptive mode: auto-select best resolution)
python scripts/mps_transcode.py \
  --oss-object /input/my_video.mp4
# Save the returned job-id

# 6. Poll transcoding job status
python scripts/poll_task.py --job-id <job-id> --job-type transcode --region cn-shanghai --interval 10

# 7. Content moderation
python scripts/mps_audit.py --oss-object /input/my_video.mp4

# 8. Download processed video to local
python scripts/oss_download.py --oss-key output/transcode/transcoded.mp4 --local-file ./output_video.mp4

Other Scenarios

Scenario 2: Transcoding Only

Execute transcoding only, without snapshot and moderation:

bash

source .venv/bin/activate
python scripts/mps_transcode.py \
  --oss-object /input/video.mp4 \
  --preset 1080p \
  --template-id "your-template-id"

Scenario 3: Content Moderation

Execute content moderation only:

bash

source .venv/bin/activate
python scripts/mps_audit.py \
  --oss-object /input/video.mp4 \
  --scenes porn terrorism ad

Success Verification

After video processing, check results:

Script exit code is 0
Output contains processed media info (OSS path)
Transcoding job status is "Success"
Content moderation shows no violations
Artifacts downloaded locally (using
```
oss_download.py
```
)

Notes on Artifact Retrieval:

OSS files require signing for online access, direct URL access returns 403 error
Recommend using
```
oss_download.py
```
to download results locally
For online preview, use
```
--sign-url
```
parameter to generate temporary pre-signed URL

bash

# Verify transcoding success
python scripts/poll_task.py --job-id <job-id> --job-type transcode --region cn-shanghai
# Expected output: Status: Success

# Verify moderation result
python scripts/mps_audit.py --query-job-id <audit-job-id>
# Expected output: Moderation passed, no violations

Troubleshooting

See references/troubleshooting.md for comprehensive troubleshooting guide.

Cleanup

Intermediate files and output files from this skill are stored in OSS. To clean up:

bash

# Delete single file
python scripts/oss_delete.py --oss-key output/transcode/video.mp4

# Delete all files under directory (recursive delete)
python scripts/oss_delete.py --prefix output/ --recursive

# Force delete (skip confirmation, for script automation)
python scripts/oss_delete.py --oss-key output/video.mp4 --force

# Preview mode (view files to be deleted without actually deleting)
python scripts/oss_delete.py --prefix output/ --recursive --dry-run

Note: Delete operations are irreversible. Confirm before executing. Use
--dry-run
to preview first.

Available Scripts

Script	Description
`scripts/load_env.py`	Environment variable loader, auto-scan and load Alibaba Cloud credentials
`scripts/poll_task.py`	MPS async task poller, query task status
`scripts/oss_upload.py`	Upload local file to OSS
`scripts/oss_download.py`	Download file from OSS to local
`scripts/oss_list.py`	List files in OSS Bucket
`scripts/oss_delete.py`	Delete OSS files or directories (supports recursive delete)
`scripts/mps_mediainfo.py`	Get media file info (resolution, bitrate, duration, etc.)
`scripts/mps_snapshot.py`	Snapshot and sprite sheet generation (supports normal/sprite mode)
`scripts/mps_transcode.py`	Video transcoding (supports adaptive Narrowband HD, multi-resolution presets, custom parameters)
`scripts/mps_audit.py`	Content safety moderation (supports multiple moderation scenarios)
`scripts/mps_pipeline.py`	Pipeline list query and auto-selection (get Pipeline ID)

Best Practices

Always check environment variables first — Run
```
python scripts/load_env.py --check-only
```
at the start of each session
Use polling instead of waiting — Use
```
poll_task.py
```
to auto-poll status after submitting jobs
Choose resolutions wisely — Select appropriate transcoding resolutions based on target user devices
Enable content moderation — For UGC content, always enable automatic moderation
Use virtual environment — Ensure dependency isolation to avoid version conflicts
Automatic pipeline management — No need to manually configure Pipeline ID, scripts auto-select appropriate pipelines based on task type

Reference Documentation

Document	Description
references/ram-policies.md	Complete RAM permission policy list
references/params.md	Script parameter documentation
references/scripts-detail.md	Detailed script usage examples
references/verification-method.md	Success verification methods
references/related-commands.md	Related CLI commands
references/cli-installation-guide.md	Aliyun CLI installation guide
references/acceptance-criteria.md	Testing acceptance criteria

CLI Command Standards

Important: If using
aliyun
CLI commands, all commands MUST include the
--user-agent AlibabaCloud-Agent-Skills
parameter. Example:
aliyun mts search-pipeline --PageNumber 1 --PageSize 10 --user-agent AlibabaCloud-Agent-Skills

alibabacloud-video-forge

NPX Install

Tags

SKILL.md Content

Alibaba Cloud Video Forge

🚀 Quick Start

Common Scenarios

Scenario 1: Bilibili Video Publishing

Scenario 2: UGC Content Moderation

Scenario 3: Multi-Resolution Transcoding

Scenario Description

Architecture

Capability Overview

Prerequisites

Environment Variables

🔒 Security Guidelines

SDK Installation

RAM Permissions

Parameter Confirmation

Core Workflow

Scenario 1: One-stop Video Standardization

Step 0: Automatic Pipeline Selection (Optional)

Step 1: Upload Video to OSS

Step 2: Media Info Probe

Step 3: Cover Generation (Snapshot)

Step 4: Adaptive Transcoding (Auto-select best resolution and Narrowband HD template)

Step 5: Content Moderation

Step 6: Poll Task Status

Complete Example

Other Scenarios

Scenario 2: Transcoding Only

Scenario 3: Content Moderation

Success Verification

Troubleshooting

Cleanup

Available Scripts

Best Practices

Reference Documentation

CLI Command Standards