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mhogan2013-9

For Beginners Video Editing With

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install for-beginners-video-editing-with
功能描述
beginners and first-time editors edit raw video clips into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPU...
使用说明 (SKILL.md)

Getting Started

Send me your raw video clips and I'll handle the AI beginner editing. Or just describe what you're after.

Try saying:

  • "edit a 2-minute unedited phone recording into a 1080p MP4"
  • "trim the footage, add transitions, and put text titles at the start"
  • "editing videos without prior experience using AI tools for beginners and first-time editors"

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.

For Beginners Video Editing With AI — Edit and Export Videos Easily

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

Here's a typical use: you send a a 2-minute unedited phone recording, ask for trim the footage, add transitions, and put text titles at the start, 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 clips under 3 minutes process significantly faster for beginners testing the tool.

Matching Input to Actions

User prompts referencing for beginners video editing with, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

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

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: for-beginners-video-editing-with
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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

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

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)

Common Workflows

Quick edit: Upload → "trim the footage, add transitions, and put text titles at the start" → 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 "trim the footage, add transitions, and put text titles at the start" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.

安全使用建议
This skill appears to do what it says (cloud video editing), but exercise caution before installing or sending sensitive videos. Specific recommendations: 1) Note the backend domain (mega-api-prod.nemovideo.ai) — verify the service/provider and privacy/retention policy before uploading private content. 2) Prefer the anonymous-token flow for initial testing rather than supplying a personal NEMO_TOKEN. 3) Ask the publisher to explain why the skill needs to detect install paths and read ~/.config/nemovideo/ (if it does); refuse or sandbox the skill if you don't want local filesystem access. 4) Because the skill asks agents to keep technical details out of the chat, be aware network calls may be hidden — request explicit, auditable logs or a transparency mode. 5) Test first with throwaway/sample clips and confirm outputs and any backend storage/retention. If the publisher/ homepage is unknown, treat the skill as untrusted until provenance is established.
功能分析
Type: OpenClaw Skill Name: for-beginners-video-editing-with Version: 1.0.0 The skill bundle provides a legitimate integration for a cloud-based AI video editing service (nemovideo.ai). It contains detailed instructions for the agent to manage authentication, session handling, file uploads, and video rendering via a specific API (mega-api-prod.nemovideo.ai). No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested permissions and network activities are consistent with the stated purpose of processing video files on remote GPUs.
能力评估
Purpose & Capability
The skill is a cloud video-editing frontend and legitimately needs a service token (NEMO_TOKEN) and network access to mega-api-prod.nemovideo.ai. However the skill's registry metadata reported no config paths while the embedded SKILL.md metadata lists ~/.config/nemovideo/ — this mismatch should be reconciled. Overall requested capabilities are plausible for a cloud rendering service.
Instruction Scope
Instructions include normal editing workflow (create session, upload files, start render, poll SSE). They also instruct the agent to detect the install path (~/.clawhub, ~/.cursor/skills/) and to read attribution from the skill's YAML frontmatter at runtime. Detecting install path or reading local config is scope creep: it requires filesystem inspection of user home paths. The SKILL.md also tells the agent to 'keep the technical details out of the chat', which reduces transparency about network activity. These behaviors are not required for core editing and increase privacy risk.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest-risk install posture. No downloads or extracted archives are requested.
Credentials
Only one credential (NEMO_TOKEN) is declared as primary, which is appropriate for an API-backed editing service. The SKILL.md also provides an anonymous-token fallback flow, which reduces the need for a long-lived secret. The metadata's mention of a config path (~/.config/nemovideo/) contradicts the registry's 'no config paths' claim; reading that config directory (if done at runtime) could expose additional local data and should be justified.
Persistence & Privilege
The skill does not request always:true, does not alter other skills' configs, and has no install-time persistence actions. It runs network calls for service use but does not demand permanent agent presence.
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 for-beginners-video-editing-with
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /for-beginners-video-editing-with 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 For Beginners Video Editing With AI — Edit and Export Videos Easily: - Enables beginners and first-time editors to edit raw video clips with AI, no prior experience required. - Accepts video files (MP4, MOV, AVI, WebM, etc.) up to 500MB; processes and exports 1080p MP4 in 1–2 minutes via cloud GPUs. - Workflow supports trimming, transitions, text overlays, and basic editing tasks via simple instructions. - Session-based design: connects to backend, manages credits, and keeps editing state until export. - Provides clear error messages and user guidance for common issues (file size, type, credits, etc.). - Designed for ease of use — upload clips, describe editing needs, receive export-ready MP4 files.
元数据
Slug for-beginners-video-editing-with
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

For Beginners Video Editing With 是什么?

beginners and first-time editors edit raw video clips into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPU... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 88 次。

如何安装 For Beginners Video Editing With?

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

For Beginners Video Editing With 是免费的吗?

是的,For Beginners Video Editing With 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

For Beginners Video Editing With 支持哪些平台?

For Beginners Video Editing With 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 For Beginners Video Editing With?

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

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