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Free Text To Brainrot Video

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install free-text-to-brainrot-video
功能描述
Turn a two-sentence story about a cat who hates Mondays into 1080p brainrot style videos just by typing what you need. Whether it's generating brainrot video...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "convert my text prompt"
  • "export 1080p MP4"
  • "turn my text into a brainrot-style"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Free Text to Brainrot Video — Convert Text into Brainrot Videos

Drop your text prompt in the chat and tell me what you need. I'll handle the brainrot video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a two-sentence story about a cat who hates Mondays, ask for turn my text into a brainrot-style video with subway surfers gameplay and AI voiceover, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter text under 100 words produces tighter, more engaging brainrot clips.

Matching Input to Actions

User prompts referencing free text to brainrot video, 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.

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

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

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.

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 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

Common Workflows

Quick edit: Upload → "turn my text into a brainrot-style video with subway surfers gameplay and AI voiceover" → 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 my text into a brainrot-style video with subway surfers gameplay and AI voiceover" — 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 TikTok, YouTube Shorts, and Instagram Reels.

安全使用建议
This skill behaves like a normal cloud video-rendering connector, but verify the service and its domain before giving it a token. Ask the publisher for: (1) a canonical homepage or source repo, (2) confirmation why the frontmatter lists ~/.config/nemovideo/ while the registry shows no config paths, and (3) what scopes/expiry the NEMO_TOKEN grants. Prefer issuing a time-limited, least-privilege token (or use the anonymous token path) and avoid uploading any sensitive media. If you cannot verify the service identity (mega-api-prod.nemovideo.ai) or the maintainer, treat this skill as higher risk and do not set a permanent NEMO_TOKEN in your environment.
功能分析
Type: OpenClaw Skill Name: free-text-to-brainrot-video Version: 1.0.0 The skill provides a functional integration for a text-to-video generation service via the nemovideo.ai API. It contains detailed instructions for the agent to handle authentication, session management, and video rendering workflows using the domain mega-api-prod.nemovideo.ai. The behavior described in SKILL.md is consistent with the stated purpose of generating 'brainrot' style videos and lacks any indicators of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
The skill's stated purpose (convert text into short 'brainrot' videos) matches the runtime instructions (calls to a video-rendering API). Requesting a NEMO_TOKEN credential is proportionate. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this metadata inconsistency is unexplained.
Instruction Scope
The SKILL.md instructs the agent to auto-connect to an external API on first use, optionally mint an anonymous token via POST, create a session, use SSE for edits, upload user files, and poll export endpoints. Those actions are expected for a cloud render service, but they involve automatic network calls, saving session IDs/tokens, and uploading user-provided media — the instructions give the skill broad runtime autonomy which users should be aware of.
Install Mechanism
This is instruction-only with no install spec and no binaries pulled from external URLs, so nothing is written to disk by an installer — low install risk.
Credentials
Only a single environment variable (NEMO_TOKEN) is required, which is reasonable for authenticating to the named service. Still note: the SKILL.md requires three custom HTTP attribution headers on every request (including an X-Skill-Source that ties requests to this skill), which could reveal usage telemetry. Also the SKILL.md frontmatter lists a config path that differs from the registry manifest — it's unclear whether the skill will try to read/write local config files.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide privileges. It does instruct saving a session_id and using tokens for API calls, which is expected for the service and limited to the skill's own session state.
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-brainrot-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-text-to-brainrot-video 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 Brainrot Video. - Instantly generate 1080p "brainrot style" videos from your text prompts using cloud GPUs. - No manual editing or export settings needed—just type your idea and download a ready-to-share MP4 in 1–2 minutes. - Automatic account setup: get started with a free token for quick access (100 credits, 7 days). - Supports uploading text files and customizing videos with options for aspect ratio, overlays, and audio. - Built-in command recognition for exporting, checking credits, viewing status, and file uploads. - All processing handles multiple formats (video, audio, images, text) with clear error handling and progress updates.
元数据
Slug free-text-to-brainrot-video
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 Brainrot Video 是什么?

Turn a two-sentence story about a cat who hates Mondays into 1080p brainrot style videos just by typing what you need. Whether it's generating brainrot video... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 76 次。

如何安装 Free Text To Brainrot Video?

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

Free Text To Brainrot Video 是免费的吗?

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

Free Text To Brainrot Video 支持哪些平台?

Free Text To Brainrot Video 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 Brainrot Video?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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