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vcarolxhberger

Free Generator Free

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-generator-free
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a 30-second video from this text prompt at no cost — and get gene...
使用说明 (SKILL.md)

Getting Started

Send me your text or images and I'll handle the free video generation. Or just describe what you're after.

Try saying:

  • "generate a short product description or a few topic keywords into a 1080p MP4"
  • "generate a 30-second video from this text prompt at no cost"
  • "generating videos from text or images for free for content creators, students, marketers"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Video Generator Free — Generate Videos at No Cost

This tool takes your text or images and runs free video generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a short product description or a few topic keywords and want to generate a 30-second video from this text prompt at no cost — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter prompts with clear subjects produce more accurate video output.

Matching Input to Actions

User prompts referencing free generator free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source free-generator-free
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Common Workflows

Quick edit: Upload → "generate a 30-second video from this text prompt at no cost" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 30-second video from this text prompt at no cost" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility.

安全使用建议
This skill appears coherent with its stated purpose, but consider privacy and trust before using it: any files you upload and prompts you send go to the nemovideo.ai backend (an anonymous 7-day token may be created automatically). If you need confidentiality, avoid uploading sensitive material. Verify the service's terms/privacy and, if you prefer, provide your own NEMO_TOKEN rather than letting the skill obtain an anonymous token. Note the frontmatter references a local config path (~/.config/nemovideo/) — check whether the agent stores tokens or session info there if you care about local persistence.
功能分析
Type: OpenClaw Skill Name: free-generator-free Version: 1.0.0 The skill is a legitimate integration for a video generation service hosted at nemovideo.ai. It provides detailed instructions for the agent to manage authentication (including an anonymous token fallback), session handling, file uploads, and video rendering. The logic is transparent, includes safety instructions to avoid exposing API tokens to the user, and lacks any indicators of data exfiltration, malicious execution, or unauthorized access.
能力评估
Purpose & Capability
The skill's name/description match the runtime instructions: it calls a NemoVideo cloud API and requires a NEMO_TOKEN. One small mismatch: the frontmatter declares a config path (~/.config/nemovideo/) but the runtime instructions do not explicitly require reading or writing that path — this is plausible (for caching tokens) but not justified in-text.
Instruction Scope
SKILL.md instructs only to check/use NEMO_TOKEN (or obtain an anonymous token), create sessions, upload files, and poll render endpoints. It does not ask to read unrelated system files or other environment variables. It does require uploading user files to a third-party API (expected for a video generator).
Install Mechanism
No install script or downloaded code is present; this is instruction-only, which minimizes disk-write risk.
Credentials
Only a single service credential (NEMO_TOKEN) is requested. The token is justified by the described cloud API usage and the SKILL.md documents how to obtain an anonymous token if one is not present.
Persistence & Privilege
Skill is not marked always:true and uses default autonomous invocation. The frontmatter lists a config path (possible local storage of session/token), but SKILL.md does not require global configuration changes or access to other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install free-generator-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-generator-free 触发
  4. 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 Free Video Generator Free. - Instantly generate 30-second videos from text or images at no cost, with cloud-based processing and no software to install. - Upload MP4, MOV, JPG, or PNG files up to 200MB; receive generated videos in about 30-60 seconds. - Supports quick start via anonymous login, with 100 free credits valid for 7 days. - Exports high-quality 1080p MP4s and other formats; ideal for content creators, students, and marketers. - Full session management, video editing actions, and timeline summaries handled automatically.
元数据
Slug free-generator-free
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Free Generator Free 是什么?

Skip the learning curve of professional editing software. Describe what you want — generate a 30-second video from this text prompt at no cost — and get gene... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。

如何安装 Free Generator Free?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install free-generator-free」即可一键安装,无需额外配置。

Free Generator Free 是免费的吗?

是的,Free Generator Free 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Free Generator Free 支持哪些平台?

Free Generator Free 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 Free Generator Free?

由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。

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