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Install in OpenClaw
/install video-editor-filters
Description
Skip the learning curve of professional editing software. Describe what you want — apply a cinematic color grade filter and smooth skin tone across the whole...
Usage Guidance
This skill sends any uploaded videos and edit instructions to an external service (https://mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN (or obtains an anonymous one) to authenticate. That behaviour is consistent with a cloud video-processing tool but has privacy implications: do not upload sensitive footage you wouldn’t want sent to a third party. Note the SKILL.md references a config directory (~/.config/nemovideo/) that is not listed in the registry metadata — ask the publisher whether the skill will read that directory or other local files. If you proceed, consider: (1) only grant NEMO_TOKEN if you trust Nemovideo's service and privacy policy, (2) revoke tokens/credits from the service if you stop using the skill, and (3) avoid uploading confidential media. The metadata mismatch lowers confidence slightly — request clarification from the skill owner before installing.
Capability Analysis
Type: OpenClaw Skill
Name: video-editor-filters
Version: 1.0.0
The skill facilitates AI-driven video editing by interfacing with the nemovideo.ai backend, as detailed in SKILL.md. It includes logic for automated authentication via anonymous tokens, session creation, and a cloud-based rendering pipeline for processing video uploads. While it performs basic environment fingerprinting to identify the host platform (e.g., checking for ~/.clawhub/ or ~/.cursor/skills/ for attribution headers), its behaviors are consistent with its described functionality and do not exhibit signs of malicious intent, unauthorized data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The skill claims to apply AI filters and export videos and its instructions call the nemo video API endpoints for uploads, rendering, credits, and state; requiring a NEMO_TOKEN is coherent. However, the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch should be clarified (does the skill need access to that config dir?).
Instruction Scope
Instructions are narrowly focused on authenticating (using NEMO_TOKEN or anonymously obtaining one), creating a session, uploading video files, driving SSE-based edits, polling render status, and returning a download URL. These actions are consistent with the described video-processing purpose. The skill does instruct the agent to read its own frontmatter and detect install paths to populate attribution headers — that requires filesystem access to the skill file and (optionally) probing common install directories, which is expected but should be noted.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written by an installer. That reduces risk compared to skills that fetch/extract remote archives.
Credentials
Only one credential is declared (NEMO_TOKEN) which fits a cloud video-processing backend. The SKILL.md will automatically obtain an anonymous token if none is present (by POSTing to the external API). The frontmatter's mention of a config path (~/.config/nemovideo/) is not reflected in the registry metadata — clarify whether the skill expects to read that directory (which could contain credentials or preferences).
Persistence & Privilege
always:false and normal autonomous invocation. The skill stores a session_id and will retain/use an obtained token for requests; tokens are described as short-lived (anonymous token valid 7 days). This is proportional to the task but you should be aware the session/token will be stored and used for subsequent API calls.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-editor-filters - After installation, invoke the skill by name or use
/video-editor-filters - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Effortless video filter application and AI-powered video editing.
- Upload MP4, MOV, AVI, or WebM files up to 500MB and describe the desired filters and effects.
- Automatic backend handles AI filter application, color grading, skin smoothing, and exports polished clips in 30–90 seconds.
- Session and authentication managed seamlessly, with 100 free credits for new users (token valid 7 days).
- Supports common video tasks: color grading, style filters, text overlays, audio tracks, and easy export to MP4 and more.
- Error handling and user feedback integrated for issues like unsupported files, expired tokens, or missing subscription.
Metadata
Frequently Asked Questions
What is Video Editor Filters?
Skip the learning curve of professional editing software. Describe what you want — apply a cinematic color grade filter and smooth skin tone across the whole... It is an AI Agent Skill for Claude Code / OpenClaw, with 78 downloads so far.
How do I install Video Editor Filters?
Run "/install video-editor-filters" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editor Filters free?
Yes, Video Editor Filters is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editor Filters support?
Video Editor Filters is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Editor Filters?
It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.
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