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Video Maker Renderforest
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
54
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-maker-renderforest
Description
Skip the learning curve of professional editing software. Describe what you want — create a 30-second promo video using my logo and brand colors — and get br...
Usage Guidance
This skill appears to do what it claims: it calls a remote NemoVideo API to create sessions, upload user media, and return render URLs. Before installing or using it: (1) Confirm you trust the nemo video backend (https://mega-api-prod.nemovideo.ai) because all uploaded media and generated content will be sent to that service. (2) Only provide NEMO_TOKEN if it is specifically issued for this service; avoid supplying tokens or secrets for unrelated services. (3) When uploading files, ensure the agent/platform only uploads files you explicitly provide; do not let the skill attempt to read arbitrary filesystem paths. (4) Note the small metadata inconsistency (config path listed in SKILL.md but not in registry) — harmless but worth verifying with the skill author if you need strict provenance. If you need higher assurance, ask the publisher for a homepage or source repo and for details about data retention and privacy of uploaded media.
Capability Analysis
Type: OpenClaw Skill
Name: video-maker-renderforest
Version: 1.0.0
The skill is a legitimate integration for a video generation service (NemoVideo/Renderforest). It provides detailed instructions for an AI agent to manage authentication via tokens, handle file uploads, and interact with a cloud-based rendering API (mega-api-prod.nemovideo.ai). The logic is consistent with the stated purpose of creating branded videos, and it includes security-conscious instructions for the agent to avoid exposing sensitive tokens. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
The skill is described as a cloud video rendering helper and requires only a single service token (NEMO_TOKEN), which is consistent. Minor mismatch: the SKILL.md frontmatter metadata includes a config path (~/.config/nemovideo/) but the registry metadata lists no required config paths; this is likely a bookkeeping inconsistency rather than malicious.
Instruction Scope
Instructions are narrowly focused on creating sessions, uploading media, running SSE-based generation, polling renders, and checking credits — all within the rendering backend. Two things to note: (1) upload instructions reference multipart file uploads by local file path (e.g., -F "files=@/path"), which implies the agent will need access to user-provided files or paths; ensure the agent/platform only supplies user-intended files and does not attempt to read arbitrary system files. (2) The runtime asks the agent to derive an X-Skill-Platform value by detecting install paths — this requires inspecting the agent environment/install location, which is benign for telemetry but worth awareness.
Install Mechanism
No install spec or code is included; the skill is instruction-only. That minimizes on-disk risk — the skill relies on outbound HTTP calls to the described backend.
Credentials
The only declared required credential is NEMO_TOKEN (primaryEnv), which matches a cloud rendering service. The SKILL.md also documents generating an anonymous token if NEMO_TOKEN is absent (by calling the service's anonymous-token endpoint) — expected for anonymous usage. There are no unrelated secrets requested. The earlier noted metadata mention of a config path (~/.config/nemovideo/) is not reflected in the registry requirements — a small inconsistency to be aware of.
Persistence & Privilege
The skill does not request always:true and has no install-time persistence. It does instruct keeping session_id for the running session, which is normal session behavior and not a platform-level privilege escalation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-maker-renderforest - After installation, invoke the skill by name or use
/video-maker-renderforest - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Video Maker Renderforest skill.
- Instantly create branded promo or intro videos by uploading images, audio, and text, or describing your desired result.
- Simple cloud setup—auto-connects and notifies user when ready, handling session and token management.
- Supports MP4, MOV, PNG, JPG uploads up to 200MB; all video processing occurs server-side in 1-2 minutes.
- Exposes flexible actions: generate, edit, upload, export, check credits, and view session state via natural language.
- Ideal for marketers, small businesses, and content creators seeking professional videos without editing software.
Metadata
Frequently Asked Questions
What is Video Maker Renderforest?
Skip the learning curve of professional editing software. Describe what you want — create a 30-second promo video using my logo and brand colors — and get br... It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.
How do I install Video Maker Renderforest?
Run "/install video-maker-renderforest" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Maker Renderforest free?
Yes, Video Maker Renderforest is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Maker Renderforest support?
Video Maker Renderforest is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Maker Renderforest?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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