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Nemo Video Quick
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
70
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install nemo-video-quick
Description
Skip the learning curve of professional editing software. Describe what you want — trim silences, add transitions, and export in under a minute — and get edi...
Usage Guidance
This skill appears to be a straightforward cloud video-editing client, but review these points before installing:
- Privacy of uploads: The skill uploads your raw video files to mega-api-prod.nemovideo.ai for processing. Do not upload sensitive or confidential footage unless you trust the service and have reviewed its privacy policy and retention rules.
- Token handling: If you don't provide NEMO_TOKEN, the skill will automatically request an anonymous token from the backend and use/store it (100 free credits, 7 days). Ask how/where the agent stores that token and session_id, and whether it persists beyond the current session.
- Local path/config reads: The skill asks to derive attribution headers from the agent install path and the frontmatter references a local config directory (~/.config/nemovideo/). Confirm whether the skill will read local files or directories and what it will access; prefer a version that only reads what you explicitly permit.
- Domain and trust: The backend domain (mega-api-prod.nemovideo.ai) is not accompanied by a homepage/owner info in the registry metadata. If you rely on this skill, verify the service operator and their policies, or provide your own NEMO_TOKEN from a trusted account.
- Limit scope: If possible, use the skill first with non-sensitive test clips to confirm behavior. If you are uncomfortable with automatic token creation or unspecified storage, ask for a variant that requires you to paste an explicit token each session instead of auto-generating.
If you want, I can list exact questions to ask the skill author (where tokens are stored, which files/dirs are read, retention policy for uploaded media) or draft a safe usage checklist for trialing the skill.
Capability Analysis
Type: OpenClaw Skill
Name: nemo-video-quick
Version: 1.0.0
The nemo-video-quick skill is a legitimate integration for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It provides instructions for the agent to manage authentication (including anonymous token generation), upload media, and poll for rendered video exports. The code and instructions in SKILL.md are consistent with the stated purpose and do not exhibit signs of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description align with required credential NEMO_TOKEN and the documented endpoints; the skill is an interface to a cloud video-rendering backend, which reasonably needs an API token and upload capability. No unrelated services or binaries are requested.
Instruction Scope
Runtime instructions instruct the agent to (a) automatically obtain an anonymous token via a backend endpoint if NEMO_TOKEN is not set, (b) create and store a session_id, and (c) upload user video files to mega-api-prod.nemovideo.ai. The doc also instructs the agent to derive attribution headers from the agent's install path (which requires reading local paths). The token/session storage location and retention are unspecified. Uploading user videos to a third-party service and automatic token creation/storage are privacy-sensitive and should be explicit to the user.
Install Mechanism
Instruction-only skill with no install spec or bundled code — low install-attack surface. Nothing is downloaded or written by an installer according to the manifest.
Credentials
Only NEMO_TOKEN is declared as required, which is appropriate for a cloud video service. However, the SKILL.md frontmatter/metadata references a config path (~/.config/nemovideo/) and asks to detect install-path for attribution headers; the registry listing stated 'Required config paths: none'. This mismatch (metadata implying local config access) should be clarified. No other credentials are requested.
Persistence & Privilege
always:false (normal). The skill will autonomously connect to the backend on first use and may generate/store a short-lived anonymous token (7 days) and session_id; those actions broaden the skill's ability to transmit user data to the remote service. This is expected for a cloud-editing skill but increases privacy risk if not transparent.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nemo-video-quick - After installation, invoke the skill by name or use
/nemo-video-quick - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Nemo Video Quick for lightning-fast AI video editing.
- Upload MP4, MOV, AVI, or WebM files up to 500MB and describe your desired edits.
- Features automatic trimming, transitions, and exports—edited clips delivered in 30–60 seconds.
- Simple onboarding: connect to backend, get a session, and start editing with 100 free credits (7 days).
- Flexible commands: handle uploads, exports, credits, and timeline previews with natural prompts.
- Clear error handling for common issues like file size, format, or token expiration.
Metadata
Frequently Asked Questions
What is Nemo Video Quick?
Skip the learning curve of professional editing software. Describe what you want — trim silences, add transitions, and export in under a minute — and get edi... It is an AI Agent Skill for Claude Code / OpenClaw, with 70 downloads so far.
How do I install Nemo Video Quick?
Run "/install nemo-video-quick" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nemo Video Quick free?
Yes, Nemo Video Quick is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nemo Video Quick support?
Nemo Video Quick is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nemo Video Quick?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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