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mhogan2013-9

Flexclip Alternative

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install flexclip-alternative
功能描述
Skip the learning curve of professional editing software. Describe what you want — create a 30-second promo video with text overlays and background music — a...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create my video clips, images"
  • "export 1080p MP4"
  • "create a 30-second promo video with"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

FlexClip Alternative — Create and Export Promo Videos

Drop your video clips, images in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a five product photos and a logo file, ask for create a 30-second promo video with text overlays and background music, 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 — using fewer than 10 clips keeps render times under a minute.

Matching Input to Actions

User prompts referencing flexclip alternative, 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 flexclip-alternative, 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).

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 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)

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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.

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 → "create a 30-second promo video with text overlays and background 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 "create a 30-second promo video with text overlays and background music" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

安全使用建议
This skill appears to do what it says—upload media and use a NEMO_TOKEN to render videos on a third‑party cloud service—but a few things to check before using it: 1) The SKILL.md frontmatter mentions a local config path (~/.config/nemovideo/) and deriving a platform header from install paths; confirm whether the skill will read those local paths (the registry metadata lists no required config paths). 2) Your media files are uploaded to https://mega-api-prod.nemovideo.ai; only upload content you are comfortable sharing with that service and verify its privacy/retention policy. 3) If you don’t supply NEMO_TOKEN the skill will request an anonymous token from the service (no secrets required), but confirm how long tokens are stored and whether tokens are persisted. 4) If you require higher assurance, ask the publisher for proof of domain ownership/terms and for clarification about any local file access. Given the metadata inconsistency and the fact user files are sent off‑host, proceed only if you’re comfortable with those tradeoffs.
功能分析
Type: OpenClaw Skill Name: flexclip-alternative Version: 1.0.0 The skill bundle provides a legitimate interface for a cloud-based video editing service (nemovideo.ai). It defines standard API interactions for authentication, file uploads, and video rendering. While it requires an API token (NEMO_TOKEN) and communicates with an external domain (mega-api-prod.nemovideo.ai), these actions are consistent with its stated purpose of 'AI video creation on cloud GPUs' and do not exhibit signs of data exfiltration or malicious intent.
能力评估
Purpose & Capability
Name/description (AI video creation, uploads, exports) match the runtime instructions and the single required credential (NEMO_TOKEN). There are no unrelated credentials or binaries requested.
Instruction Scope
Instructions direct the agent to obtain or use NEMO_TOKEN, create sessions, upload user media, and poll/export via HTTPS SSE endpoints on mega-api-prod.nemovideo.ai. They also describe deriving an X-Skill-Platform header by inspecting install path and reference a config path in the SKILL.md frontmatter (~/.config/nemovideo/). Those operations imply the agent may read local install/config paths and will transmit user files to an external backend—behavior that should be explicit to the user. The SKILL.md does not instruct reading other unrelated host secrets, but the implicit path-platform detection and frontmatter configPaths are a scope mismatch with registry metadata.
Install Mechanism
Instruction-only skill with no install spec or code files. This is low-risk from a disk-writing/install perspective.
Credentials
The skill only declares a single credential (NEMO_TOKEN), which is appropriate for a backend service. However, SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that the registry listing did not, producing an inconsistency: either the skill may try to read local config or that frontmatter is stale. The skill also instructs fetching an anonymous token if NEMO_TOKEN is missing (no secrets required for that flow).
Persistence & Privilege
always:false and no install steps. The skill does not request permanent/always-on presence or changes to other skills' configs. Autonomous invocation is allowed by default (normal).
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 flexclip-alternative
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /flexclip-alternative 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 FlexClip Alternative — fast AI-powered promo video creation. - Instantly generate 30-second promo videos with text overlays and background music; just upload your clips and describe your vision. - Supports most common file types (MP4, MOV, JPG, PNG, etc.), up to 500MB per file. - Handles all editing, rendering, and export automatically via a cloud GPU backend — no local software required. - Session-based workflow with API token management, anonymous mode, and free credits available for new users. - Simple commands for uploading, querying status, checking credits, and exporting final videos.
元数据
Slug flexclip-alternative
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

Flexclip Alternative 是什么?

Skip the learning curve of professional editing software. Describe what you want — create a 30-second promo video with text overlays and background music — a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 124 次。

如何安装 Flexclip Alternative?

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

Flexclip Alternative 是免费的吗?

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

Flexclip Alternative 支持哪些平台?

Flexclip Alternative 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 Flexclip Alternative?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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