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francemichaell-15

Maker Fast

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install maker-fast
功能描述
Turn a 2-minute raw phone recording into 1080p ready-to-share videos just by typing what you need. Whether it's rapidly producing finished videos from raw cl...
使用说明 (SKILL.md)

Getting Started

Send me your raw footage and I'll handle the AI fast video creation. Or just describe what you're after.

Try saying:

  • "create a 2-minute raw phone recording into a 1080p MP4"
  • "quickly cut and compile this footage into a shareable video"
  • "rapidly producing finished videos from raw clips for content creators"

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.

Maker Fast — Create and Export Videos Fast

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

Say you have a 2-minute raw phone recording and want to quickly cut and compile this footage into a shareable video — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter source clips produce faster results with cleaner cuts.

Matching Input to Actions

User prompts referencing maker fast, 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.

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

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

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.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "quickly cut and compile this footage into a shareable video" — 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.

Common Workflows

Quick edit: Upload → "quickly cut and compile this footage into a shareable video" → Download MP4. Takes 30-60 seconds 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.

安全使用建议
This skill behaves like a cloud video-rendering service: it will upload your footage to https://mega-api-prod.nemovideo.ai, create sessions, and return download URLs. Before installing, verify the publisher and the service domain (there's no homepage or public source listed). Consider these points: - Privacy: your raw videos will be sent to a third-party server. Don’t upload sensitive or private footage unless you trust the provider and understand retention/processing policies. - Credentials: the skill expects NEMO_TOKEN (or will obtain an anonymous token). Only provide a token if you trust the service; anonymous tokens have limited credits and will expire. - Metadata mismatch: SKILL.md mentions a local config path (~/.config/nemovideo/) not listed in the registry metadata — ask the publisher whether the skill will read local files or write configs. - Header behavior: the skill asks the agent to derive X-Skill-Platform from install paths; that could reveal local path information. Confirm what local metadata the skill will access. - Provenance: no homepage/source is provided. If you need stronger assurance, request the skill's source, privacy/TOS, or an official domain/owner identity before using it with sensitive data. If you proceed, test with non-sensitive footage first and monitor network activity and any account/credit links the skill provides.
功能分析
Type: OpenClaw Skill Name: maker-fast Version: 1.0.0 The 'maker-fast' skill is a video editing integration that connects to a cloud rendering pipeline at mega-api-prod.nemovideo.ai. It handles session management, file uploads, and video rendering via standard REST and SSE API patterns. The instructions in SKILL.md guide the agent on authentication (using NEMO_TOKEN or an anonymous token) and mapping user intents to specific API actions. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested environment variables and configuration paths are consistent with the tool's stated purpose.
能力评估
Purpose & Capability
The skill's declared purpose—cloud-based fast video creation—matches the described network actions (uploading footage, creating render jobs, polling status). However there's a metadata mismatch: the registry lists no required config paths, but the SKILL.md frontmatter claims a config path (~/.config/nemovideo/) which is not reflected in the registry metadata. The unknown source/homepage also reduces confidence in the publisher.
Instruction Scope
Runtime instructions direct the agent to obtain/use a bearer token, POST file uploads and SSE streams to a third-party API, create sessions, and poll render status. These actions are expected for a cloud render service, but the doc also tells the agent to 'detect' install path to set X-Skill-Platform (potentially requiring access to local install paths) and to keep technical details out of chat. The instructions are prescriptive about headers and error handling; they are somewhat vague about how to detect install paths or whether local config (~/.config/nemovideo/) should be read, which grants the agent discretionary access that isn't fully justified in the metadata.
Install Mechanism
Instruction-only skill (no install spec, no code files). This minimizes disk-write/install risk.
Credentials
The skill requires a single credential (NEMO_TOKEN) which is proportional for a cloud API. It also documents an anonymous-token flow so it can operate without a pre-provided token. The SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) while the registry shows none — this inconsistency should be clarified. No other unrelated secrets are requested.
Persistence & Privilege
The skill is not forced-always, has no install steps, and does not request exceptional platform privileges. It will create transient cloud sessions and jobs, which is expected. No evidence it modifies other skills or system 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 maker-fast
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-fast 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 Maker Fast — rapid AI-powered video editing from raw footage. - Instantly turn raw phone recordings into 1080p shareable videos with simple prompts. - Connects to a cloud backend; free token system for anonymous users. - Handles uploads, edits, credits checking, export, and session management via clear commands. - Guides users with progress statuses and streamlines render/export (MP4 format recommended). - Supports a wide range of audio, video, and image file types up to 500MB. - Robust error handling and user feedback for common issues (credits, file type, rate limits).
元数据
Slug maker-fast
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

Maker Fast 是什么?

Turn a 2-minute raw phone recording into 1080p ready-to-share videos just by typing what you need. Whether it's rapidly producing finished videos from raw cl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 45 次。

如何安装 Maker Fast?

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

Maker Fast 是免费的吗?

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

Maker Fast 支持哪些平台?

Maker Fast 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 Maker Fast?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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