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vynbosserman65

Generator Ai Free

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install generator-ai-free
功能描述
generate text or images into AI generated videos with this skill. Works with MP4, MOV, PNG, JPG files up to 200MB. content creators use it for generating vid...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate a short text prompt describing a product demo scene into a 1080p MP4"
  • "generate a 30-second video from this script about my new app"
  • "generating videos from text prompts or images without manual editing for content creators"

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.

Generator AI Free — Generate Videos from Text Free

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

Say you have a short text prompt describing a product demo scene and want to generate a 30-second video from this script about my new app — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter and more specific prompts produce more accurate results.

Matching Input to Actions

User prompts referencing generator ai 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.

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is generator-ai-free, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

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 Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry 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)

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 script about my new app" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "generate a 30-second video from this script about my new app" → Download MP4. Takes 1-2 minutes 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.

安全使用建议
This skill appears to do what it says: it calls the nemo video API to create sessions, upload user files, and render video. Before enabling it, consider: 1) The skill will make network calls to https://mega-api-prod.nemovideo.ai and may create an anonymous NEMO_TOKEN for you if you don't supply one — that token lasts ~7 days and grants limited credits. If you prefer control, provide a token you manage rather than relying on automatic anonymous tokens. 2) The SKILL.md references a config path (~/.config/nemovideo/) and may detect install paths to set headers — if you are worried about filesystem access, ask whether the agent will read those paths or just infer platform names. 3) There is no installer or other credentials requested, and no other services are required. If you do not trust the nemo service or the domain, do not provide a persistent NEMO_TOKEN; use ephemeral tokens or avoid installing. Finally, treat autonomous invocation as normal (default) but monitor what requests the skill makes during early uses.
功能分析
Type: OpenClaw Skill Name: generator-ai-free Version: 1.0.0 The skill bundle provides a legitimate integration for a video generation service (nemovideo.ai). It contains detailed instructions for the AI agent to manage authentication via anonymous tokens, handle sessions, upload media, and process video rendering through a cloud-based API. The requested permissions (NEMO_TOKEN and ~/.config/nemovideo/) are strictly aligned with the skill's stated purpose, and there is no evidence of data exfiltration, malicious command execution, or harmful prompt injection.
能力评估
Purpose & Capability
The name and description promise cloud video generation; the instructions show exactly that (session creation, SSE, upload, render/export endpoints). Requesting NEMO_TOKEN is proportional to that purpose. Minor inconsistency: the registry summary said 'Required config paths: none' while the SKILL.md frontmatter declares a config path (~/.config/nemovideo/). This is likely a bookkeeping mismatch but worth noting.
Instruction Scope
Instructions only call the nemovideo backend (https://mega-api-prod.nemovideo.ai) for auth, session creation, uploads and renders; they also provide guidance for SSE handling and polling. The skill includes behavior to auto-obtain an anonymous token if NEMO_TOKEN is not present (POST /api/auth/anonymous-token) and to generate a UUID client id. SKILL.md also says X-Skill-Platform is detected from install paths (~/.clawhub/, ~/.cursor/skills/) which implies the agent may inspect its environment/install path — the file system read is not explicitly prescriptive but is implied. No instructions ask for unrelated credentials or broad file system scanning beyond user-supplied uploads and optional config path.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest-risk install profile. It will not download or write external binaries as part of an installer step.
Credentials
Only one environment variable (NEMO_TOKEN) is declared as required/primary, which aligns with a cloud service token for a video API. The skill will try to obtain an anonymous token if none is present (100 free credits, 7-day expiry). The SKILL.md frontmatter additionally declares a config path (~/.config/nemovideo/), which was not reflected in the registry summary; it's unclear whether the skill expects to read that path. No other secrets are requested.
Persistence & Privilege
The skill is not forced-always and uses default model invocation. It does not request persistent installation privileges or modifications to other skills. Creating/using an anonymous service token is normal for this kind of integration.
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 generator-ai-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /generator-ai-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 — Generator AI Free 1.0.0 - Generate 1080p AI videos from text or image prompts with cloud processing. - Supports MP4, MOV, PNG, JPG files up to 200MB. - Fully automated session setup and anonymous token handling (100 free credits/7-day expiry). - Provides export, credits, status, and upload actions with clear routing from user prompts. - Delivers concise timeline summaries and details for video edits. - Robust error handling, with end-user tips for format, credits, or file size issues.
元数据
Slug generator-ai-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

Generator Ai Free 是什么?

generate text or images into AI generated videos with this skill. Works with MP4, MOV, PNG, JPG files up to 200MB. content creators use it for generating vid... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 Generator Ai Free?

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

Generator Ai Free 是免费的吗?

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

Generator Ai Free 支持哪些平台?

Generator Ai 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 Generator Ai Free?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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