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whitejohnk-26

Generator From Text

作者 whitejohnk-26 · 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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版本数
在 OpenClaw 中安装
/install generator-from-text
功能描述
Get text-based videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, copied text, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

Share your text prompt and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

  • "generate my text prompt"
  • "export 1080p MP4"
  • "turn this text into a 30-second"

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 From Text — Create Videos From Written Text

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

Say you have a 150-word product description paragraph and want to turn this text into a 30-second promotional video with visuals and music — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter, clearer text produces more accurate and focused video output.

Matching Input to Actions

User prompts referencing generator from text, 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.

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is generator-from-text, 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 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 field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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 → "turn this text into a 30-second promotional video with visuals and music" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this text into a 30-second promotional video with visuals and music" — concrete instructions get better results.

Max file size is 500MB. Stick to TXT, DOCX, PDF, copied text for the smoothest experience.

Export as MP4 for widest compatibility across social and web platforms.

安全使用建议
Install this only if you are comfortable sending the text, documents, or media you provide to the NemoVideo cloud backend. Use a dedicated token where possible, avoid sensitive uploads, and review generated videos before sharing or posting them.
功能分析
Type: OpenClaw Skill Name: generator-from-text Version: 1.0.0 The skill is a legitimate integration for a text-to-video generation service hosted at nemovideo.ai. It includes logic for session management, anonymous token acquisition, and file uploads to a cloud rendering pipeline. While it performs basic environment fingerprinting to identify the host platform (e.g., checking for ~/.clawhub/ or ~/.cursor/skills/), this is used for telemetry headers (X-Skill-Platform) and aligns with the stated purpose of the tool. No evidence of malicious data exfiltration, unauthorized command execution, or harmful prompt injection was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The stated purpose, API endpoints, upload, render, status, credits, and export workflows are aligned with creating videos from text or uploaded files. The main user-noticeable issue is that content is processed by an external cloud service.
Instruction Scope
The instructions define automatic setup, session creation, upload, SSE generation, status, credits, and export actions. These are purpose-aligned, but users should expect the agent to make remote API calls once the skill is invoked.
Install Mechanism
No install spec, code files, binaries, package installs, shell commands, or local executable helpers are present in the provided artifacts.
Credentials
The skill is proportionate for a cloud video generator, but it can upload user-provided documents or media to a third-party service, which may include private content.
Persistence & Privilege
The skill uses a NEMO_TOKEN and session_id for cloud operations, with tokens described as expiring after 7 days. No background persistence or autonomous long-running local behavior is shown.
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-from-text
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /generator-from-text 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 Generator From Text: turn written prompts (TXT, DOCX, PDF, or copied text up to 500MB) into ready-to-post AI-generated videos. - Simple prompt workflow: Upload text, describe video style or duration, and download a 1080p MP4 result in about 1-2 minutes. - Automatic session setup with anonymous token creation and cloud video processing—no manual API handling needed. - Supports file upload, video export, credits check, and session state tracking with clear error handling and user instructions. - Designed for marketers and creators to generate videos without filming or editing skills. - Multiple file formats supported; free plan available with 100 credits for 7 days.
元数据
Slug generator-from-text
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 From Text 是什么?

Get text-based videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, copied text, up to 500MB), say something like... 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 Generator From Text?

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

Generator From Text 是免费的吗?

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

Generator From Text 支持哪些平台?

Generator From Text 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 From Text?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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