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Free Text To Video Download

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
71
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当前安装
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版本数
在 OpenClaw 中安装
/install free-text-to-video-download
功能描述
Get downloadable MP4 videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, plain text, up to 500MB), say something...
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:

  • "convert my text prompt"
  • "export 1080p MP4"
  • "convert this text into a short"

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 Text to Video Download — Convert Text Into Downloadable Videos

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 convert this text into a short video I can download as MP4 — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter text inputs under 100 words produce faster, tighter videos with better pacing.

Matching Input to Actions

User prompts referencing free text to video download, 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 calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-text-to-video-download, 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).

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

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)

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

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

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

Common Workflows

Quick edit: Upload → "convert this text into a short video I can download as MP4" → 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 "convert this text into a short video I can download as MP4" — concrete instructions get better results.

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

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

安全使用建议
This skill will send your text and any uploaded files (up to 500MB) to an external service at mega-api-prod.nemovideo.ai and requires a NEMO_TOKEN (or it will automatically obtain an anonymous token). Before installing or using it: (1) confirm the service owner and review a privacy policy or terms — there is no homepage or source provided; (2) avoid uploading sensitive or confidential text/files unless you trust the endpoint; (3) ask the author to explain why a config path (~/.config/nemovideo/) appears in the skill's frontmatter but is not declared in registry metadata and whether the skill will read local files; (4) treat the generated anonymous token like a credential — it may grant account-level access for 7 days; (5) if you need stronger assurance, request the skill's source code or an official service URL and privacy/retention details. Providing those items would increase confidence and could move this assessment from 'suspicious' toward 'benign.'
功能分析
Type: OpenClaw Skill Name: free-text-to-video-download Version: 1.0.0 The skill bundle facilitates text-to-video conversion by integrating with the 'nemovideo.ai' cloud API. It includes standard logic for handling authentication (including anonymous token generation), session management, and file uploads to 'https://mega-api-prod.nemovideo.ai'. The instructions are clearly aligned with the stated purpose and do not contain evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description (text-to-video) align with the actions in SKILL.md: it calls a cloud render API, accepts uploads, and returns MP4 downloads. Requesting a NEMO_TOKEN as the primary credential is proportionate for a cloud service. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this mismatch is unexplained and worth clarifying.
Instruction Scope
The instructions perform network calls to an external domain (mega-api-prod.nemovideo.ai) for auth, session creation, SSE chat, uploads, and export polling — that is expected for a cloud video service. Concerns: (1) the skill will upload user-provided files (up to 500MB) to that external backend (privacy/PII risk); (2) it will automatically create an anonymous token if NEMO_TOKEN is not present by POSTing to the auth endpoint and storing/using the returned token; (3) it inspects install paths to set X-Skill-Platform and references a config path in its YAML — this implies reading filesystem locations beyond ephemeral runtime state. These behaviors are within what the service needs to operate but expand the surface for data exfiltration and warrant scrutiny.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes on-disk install risk; nothing is downloaded or executed locally by the skill itself.
Credentials
The only declared required environment variable is NEMO_TOKEN, which is appropriate for a service API. The SKILL.md also documents generating an anonymous token when NEMO_TOKEN is absent, which is plausible but effectively means the skill will obtain and hold credentials on the user's behalf. The frontmatter lists a config path (~/.config/nemovideo/) that was not declared in the registry metadata — reading that path could expose local config or credentials and is not justified by the registry's declared requirements.
Persistence & Privilege
always is false and the skill is user-invocable only. It does not request persistent/always-on privileges. Nothing in SKILL.md attempts to change other skills or system-wide settings.
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-text-to-video-download
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-text-to-video-download 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 Text to Video Download skill. - Upload your text or document (TXT, DOCX, PDF, up to 500MB) and convert it to a downloadable 1080p MP4 video in minutes. - Automatic backend setup: handles anonymous token and session creation for new users. - Supports fast editing, batch processing, and export with simple chat prompts. - Full credit and error handling included, with clear user messaging for all states.
元数据
Slug free-text-to-video-download
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 Text To Video Download 是什么?

Get downloadable MP4 videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, plain text, up to 500MB), say something... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 71 次。

如何安装 Free Text To Video Download?

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

Free Text To Video Download 是免费的吗?

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

Free Text To Video Download 支持哪些平台?

Free Text To Video Download 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 Text To Video Download?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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