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Video Maker Renderforest
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
54
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-maker-renderforest
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install video-maker-renderforest - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-maker-renderforest触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Video Maker Renderforest 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 54 次。
如何安装 Video Maker Renderforest？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-maker-renderforest」即可一键安装，无需额外配置。
Video Maker Renderforest 是免费的吗？
是的，Video Maker Renderforest 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Maker Renderforest 支持哪些平台？
Video Maker Renderforest 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Video Maker Renderforest？
由 susan4731-wilfordf（@susan4731-wilfordf）开发并维护，当前版本 v1.0.0。
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