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Short Video Auto
by
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
53
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1
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Install in OpenClaw
/install short-video-auto
Description
convert raw video footage into auto-edited short clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok and Reels creators use it fo...
Usage Guidance
This skill connects to a third-party cloud backend (mega-api-prod.nemovideo.ai) and uploads your videos for processing. Before installing or using it: (1) Confirm you trust that domain and are comfortable uploading the content (do not upload sensitive/private/proprietary footage). (2) Prefer supplying your own NEMO_TOKEN if you have an account; otherwise the skill will request an anonymous token from the backend (100 free credits, 7-day expiry) and use it for uploads/exports. (3) Be aware the skill may read or write its own config directory (~/.config/nemovideo/) for caching sessions/tokens; avoid storing other secrets there. (4) If you need stronger privacy controls, ask the developer for a privacy/retention policy or an on-prem alternative. (5) Because the skill's source and homepage are unknown, exercise caution: verify the vendor or test with non-sensitive sample videos first.
Capability Analysis
Type: OpenClaw Skill
Name: short-video-auto
Version: 1.0.0
This skill connects to a remote backend (mega-api-prod.nemovideo.ai) and instructs the agent to execute 'tool calls' received via a Server-Sent Events (SSE) stream while explicitly hiding these actions and their results from the user ('process internally, don't forward'). This architecture creates a high risk of unauthorized remote command execution, as the backend can potentially trigger any tool available to the agent without user oversight. Additionally, the skill performs environment reconnaissance by requiring the agent to detect the host platform (e.g., Cursor or Clawhub) from its installation path and transmits this metadata in every request header.
Capability Assessment
Purpose & Capability
Name and description match the instructions: uploading video, creating sessions, starting renders, and returning download URLs. The declared primary env var (NEMO_TOKEN) matches the backend Authorization usage. Minor mismatch: metadata lists a config path (~/.config/nemovideo/) that the SKILL.md does not explicitly read; this is plausible (for caching tokens/sessions) but not strictly necessary for the described runtime flow.
Instruction Scope
SKILL.md only instructs the agent to interact with the documented backend endpoints, upload files, manage session tokens, and stream SSE responses — all within the scope of auto-editing video. It does not instruct reading unrelated system files or other credentials. One implementation note: it asks callers to auto-detect an install path value for an attribution header (X-Skill-Platform), which implicitly requires access to the agent’s install context; this is a minor scope expansion but not unexpected for attribution.
Install Mechanism
No install spec or code files are included; this is an instruction-only skill (lowest install risk). No downloads or third-party packages are specified.
Credentials
Only a single credential (NEMO_TOKEN) is required and is used as the Bearer token for API calls — this is proportionate. The skill will also generate an anonymous token via the backend if NEMO_TOKEN isn't present (documented). The declared configPaths value could allow reading local stored config, which is reasonable for token/session caching but should be considered by users who keep other secrets in that directory.
Persistence & Privilege
Skill is not always-enabled and does not request persistent or cross-skill privileges. Autonomous invocation is allowed by default (expected). The skill does not instruct modification of other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install short-video-auto - After installation, invoke the skill by name or use
/short-video-auto - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Short Video Auto 1.0.0 — Initial Release
- Automatically converts raw video footage into AI-edited short clips, optimized for TikTok, Reels, and similar platforms.
- Supports MP4, MOV, AVI, WebM files up to 500MB, delivering 1080p MP4 exports in 30–90 seconds using cloud GPUs.
- Seamless onboarding with automatic anonymous token generation for 100 free credits; guides users through setup.
- Commands include upload, edit, check credits, view status, and export, all mapped to cloud actions.
- Error handling and workflow tips included for a smooth user experience.
Metadata
Frequently Asked Questions
What is Short Video Auto?
convert raw video footage into auto-edited short clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok and Reels creators use it fo... It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.
How do I install Short Video Auto?
Run "/install short-video-auto" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Short Video Auto free?
Yes, Short Video Auto is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Short Video Auto support?
Short Video Auto is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Short Video Auto?
It is built and maintained by mhogan2013-9 (@mhogan2013-9); the current version is v1.0.0.
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