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Install in OpenClaw
/install video-enhancer
Description
Cloud-based video enhancement skill that uploads a user-selected local video file to Wondershare-hosted endpoints for AI enhancement, then downloads the proc...
Usage Guidance
This skill appears to do what it says: upload a single local .mp4/.mov file to Filmora/Wondershare cloud endpoints for AI enhancement and download the result. Before installing or running it, confirm the user explicitly consents to third‑party cloud processing and understands privacy implications (the tool sends file MD5, duration/size, and a SHA‑256 device identifier derived from hostname+MAC). Ensure ffprobe is available on PATH (the manifest mentions ffmpeg but ffprobe is used for metadata), and avoid using this on sensitive or confidential videos. If you want extra caution, (1) inspect the full script for any additional endpoints or code paths, (2) run it in an isolated environment or VM, and (3) monitor network traffic during a test run to verify it only contacts the documented https://filmora-cloud-api-alisz.wondershare.cc endpoints and the task result download URL.
Capability Analysis
Type: OpenClaw Skill
Name: video-enhancer
Version: 1.0.9
The video-enhancer skill is a cloud-based workflow that uploads local videos to Wondershare APIs for AI processing. The script (video_enhance.py) and documentation (SKILL.md) are transparent about network activity, data collection (including a hashed device ID derived from the MAC address), and the requirement for explicit user consent. The code uses safe subprocess handling for ffprobe and standard libraries for HTTP requests, with no evidence of unauthorized data exfiltration, persistence, or malicious execution.
Capability Assessment
Purpose & Capability
The skill is described as a cloud video enhancer and the bundled script, declared brew install of ffmpeg, and network endpoints all align with that purpose. Minor inconsistency: the SKILL.md and script use/require ffprobe for metadata inspection, but the manifest's required binaries list only 'ffmpeg' (ffprobe is a separate binary provided by the ffmpeg package on many systems but should be explicitly listed).
Instruction Scope
SKILL.md instructs the agent to ask for explicit consent, validate a single local video file, read metadata via ffprobe, upload that file and limited metadata to specific Wondershare endpoints, poll for completion, and download the result. The instructions explicitly forbid scanning directories, modifying unrelated files, or uploading anything other than the chosen file; the script's visible logic follows that flow.
Install Mechanism
The only install action is a Homebrew formula to install ffmpeg, which is a standard and well-known package distribution method. No arbitrary downloads, third-party installers, or extracted archives are used.
Credentials
No credentials or environment variables are requested, which is proportionate. However the workflow collects and transmits metadata that may be privacy-sensitive: file MD5, duration, resolution, and a device identifier derived from hostname and MAC (hashed with SHA-256). These behaviors are declared in SKILL.md but are privacy-relevant and should be accepted explicitly by the user before use.
Persistence & Privilege
The skill is not always-enabled, does not request persistent elevated privileges, and does not modify other skills or system-wide agent settings. It runs as an on-demand script and requires explicit user invocation/consent per SKILL.md.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-enhancer - After installation, invoke the skill by name or use
/video-enhancer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.9
video-enhancer 1.0.9
- The privacy/network disclosure section now clarifies that the computer name and MAC address are hashed locally to generate a non-reversible SHA-256 device ID (raw data is never uploaded or stored; only the hashed ID is used for device identification).
- No other changes detected.
v1.0.8
Initial public release.
- Added cloud-based video enhancement workflow using Wondershare services for AI processing of local MP4/MOV videos.
- Includes detailed preconditions, privacy/network disclosures, and end-user consent requirements.
- Provides a bundled script for uploading, processing, and downloading enhanced videos.
- Documents strict duration/resolution/file format limits and privacy/security guidelines.
- First-time inclusion of .git directory and related workflow scripts in the repository.
v1.0.7
No user-visible changes in this version.
- Version bump to 1.0.7 with no modifications detected in files or documentation.
v1.0.6
- Clarified that all video enhancement is cloud-based and strictly requires explicit user consent for third-party file upload.
- Added requirement to explicitly refuse sensitive, private, or confidential videos.
- Restricted file access: the skill only reads the user-specified file and writes only to approved output locations.
- Enhanced agent guidance: always warn about third-party cloud processing and seek consent in the current session before running.
- Improved security notes: the skill uses only fixed binaries and uploads only the user-selected video.
v1.0.5
**Changelog for video-enhancer 1.0.5**
- Improved short description for greater clarity on AI video enhancement use cases and trigger phrases.
- Clarified supported formats and common user intents in the description.
- No workflow, functionality, or permission changes.
v1.0.4
- Skill renamed from "video-enhance-filmora" to "video-enhancer".
- Updated bundled script location to `scripts/video_enhance.py`.
- Old root-level script removed, script now resides under the `scripts/` directory.
- Clarified user privacy: input video and metadata are uploaded to Wondershare-operated cloud endpoints and processed off-device.
- Preconditions now explicitly require user acceptance of third-party cloud upload before proceeding.
- Documentation and workflow steps revised for clarity, omitting promotional and referral links from responses.
v1.0.3
- No new features or enhancements introduced. This is a breaking change if you rely on the local Python workflow.
v1.0.2
- No code changes in this release.
- Clarified user guidance and language for post-enhancement recommendations.
v1.0.1
- Removed the bundled enhancement script (scripts/video_enhance.py) from the skill.
- The workflow documentation, usage instructions, and all guidance remain unchanged.
v1.0.0
- Initial release of the video-enhance-filmora skill.
- Enables enhancement, upscaling, or HD conversion of local `.mp4` and `.mov` videos using a cloud workflow.
- Validates video duration and resolution before upload; clear refusal and error messages for unsupported cases.
- Requires ffmpeg and network access; processes files via an included Python script using `uv` or direct Python as fallback.
- Outputs enhanced videos with a timestamped filename to the specified directory.
- Provides post-enhancement guidance, including links to Filmora for advanced editing and improvement options.
Metadata
Frequently Asked Questions
What is Filmora Video Enhancer?
Cloud-based video enhancement skill that uploads a user-selected local video file to Wondershare-hosted endpoints for AI enhancement, then downloads the proc... It is an AI Agent Skill for Claude Code / OpenClaw, with 299 downloads so far.
How do I install Filmora Video Enhancer?
Run "/install video-enhancer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Filmora Video Enhancer free?
Yes, Filmora Video Enhancer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Filmora Video Enhancer support?
Filmora Video Enhancer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Filmora Video Enhancer?
It is built and maintained by Bing (@double-ing); the current version is v1.0.9.
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