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whitejohnk-26

Editor Fiverr

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install editor-fiverr
功能描述
Turn a 2-minute unedited talking-head clip into 1080p polished edited clips just by typing what you need. Whether it's getting professional-looking edits wit...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut the pauses, add captions, and"

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.

Editor Fiverr — Edit and Export Videos Instantly

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

Say you have a 2-minute unedited talking-head clip and want to cut the pauses, add captions, and export a clean final video — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 3 minutes process significantly faster and use fewer credits.

Matching Input to Actions

User prompts referencing editor fiverr, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is editor-fiverr, 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.

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.

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.

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

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)

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 → "cut the pauses, add captions, and export a clean final video" → 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 "cut the pauses, add captions, and export a clean final video" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for widest compatibility across platforms.

安全使用建议
This skill appears to do what it says: it uploads your video to a cloud rendering service (mega-api-prod.nemovideo.ai) and returns edited output. Before installing or using it: 1) Understand you will be uploading media to an external service — check privacy/terms for sensitive content. 2) The registry says NEMO_TOKEN is required, but the instructions also document creating a short-lived anonymous token if none is present; clarify with the publisher which token you should use. 3) The skill may inspect install paths to set X-Skill-Platform headers — if you are uncomfortable with the agent reading its install directories, ask for clarification. 4) Because bearer tokens grant API access, use a dedicated/limited token (or the anonymous flow) rather than a high-privilege account token. 5) If you need higher assurance, request the publisher or registry to provide a homepage, service documentation, or a signed code package; that would raise confidence from medium to high.
功能分析
Type: OpenClaw Skill Name: editor-fiverr Version: 1.0.0 The skill provides a functional interface for an AI-powered video editing service hosted at mega-api-prod.nemovideo.ai. It includes standard procedures for authentication (anonymous token generation), file uploads, and polling for render status. The instructions include security-conscious directives, such as suppressing the display of raw tokens or JSON to the user, and the requested environment variables and configuration paths are specific to the tool's stated purpose.
能力评估
Purpose & Capability
The skill claims to call a cloud video editing API and the instructions describe exactly those API calls (session creation, upload, SSE, render). Requested credential (NEMO_TOKEN) fits the stated cloud service purpose. One inconsistency: the registry metadata listed no required config paths, but the SKILL.md frontmatter metadata references ~/.config/nemovideo/ (minor mismatch).
Instruction Scope
Instructions direct the agent to upload user video files, initiate sessions, poll SSE, and include attribution headers. They also instruct detecting install path to set X-Skill-Platform (this implies reading the agent's filesystem to check ~/.clawhub/ or ~/.cursor/skills/). These behaviors are explainable for returning the correct headers, but they do require access to user files (for uploads) and to the agent's install paths (for platform detection).
Install Mechanism
This is an instruction-only skill with no install spec or code to download or write to disk, so there is no installer risk.
Credentials
Registry declares NEMO_TOKEN as a required primary env var, but the SKILL.md explicitly documents a fallback anonymous-token flow (POST to /api/auth/anonymous-token) if NEMO_TOKEN is not set. That makes the 'required' designation inconsistent. Aside from that, only the service's token is requested — which is proportionate for a cloud editor — but bearer tokens grant full API access to the backend, so treat them as sensitive.
Persistence & Privilege
The skill does not request always: true and has no install-time persistence. It asks to 'save session_id' (presumably in-session state) but provides no instructions to modify other skills or system-wide config.
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 editor-fiverr
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-fiverr 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 the Editor Fiverr skill for instant AI video editing and export. - Upload a raw video, describe desired edits (e.g., "cut the pauses, add captions"), and receive a polished 1080p MP4 in 1–2 minutes. - No timeline dragging or manual export settings required; fully guided, prompt-based workflow. - Handles token/session management automatically; supports both free and registered user flows. - Supports uploads up to 500MB and batch editing in a single session. - Export enables multiple video/audio/image formats, including mp4, mov, avi, webm, gif, mp3, and wav.
元数据
Slug editor-fiverr
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

Editor Fiverr 是什么?

Turn a 2-minute unedited talking-head clip into 1080p polished edited clips just by typing what you need. Whether it's getting professional-looking edits wit... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 87 次。

如何安装 Editor Fiverr?

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

Editor Fiverr 是免费的吗?

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

Editor Fiverr 支持哪些平台?

Editor Fiverr 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 Editor Fiverr?

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

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