功能描述

Turn a 2-minute tutorial video with on-screen text into 1080p text-edited videos just by typing what you need. Whether it's editing on-screen text in videos...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"edit my video with text"
"export 1080p MP4"
"change the title text from 'Welcome'"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

Generate a UUID as client identifier
POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Editing Text — Edit Video Text, Export Instantly

Name: Free Editing Text
Author: vynbosserman65

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

Here's a typical use: you send a a 2-minute tutorial video with on-screen text, ask for change the title text from 'Welcome' to 'Get Started' without re-recording, and about 20-40 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips with minimal overlapping text layers process faster and more accurately.

Matching Input to Actions

User prompts referencing free editing text, 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: free-editing-text
X-Skill-Version: from frontmatter version
X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Handling

Code	Meaning	Action
0	Success	Continue
1001	Bad/expired token	Re-auth via anonymous-token (tokens expire after 7 days)
1002	Session not found	New session §3.0
2001	No credits	Anonymous: show registration URL with `?bind=\x3Cid>` (get `\x3Cid>` from create-session or state response when needed). Registered: "Top up credits in your account"
4001	Unsupported file	Show supported formats
4002	File too large	Suggest compress/trim
400	Missing X-Client-Id	Generate Client-Id and retry (see §1)
402	Free plan export blocked	Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429	Rate limit (1 token/client/7 days)	Retry in 30s 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.

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

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)

Common Workflows

Quick edit: Upload → "change the title text from 'Welcome' to 'Get Started' without re-recording" → Download MP4. Takes 20-40 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "change the title text from 'Welcome' to 'Get Started' without re-recording" — 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 legitimately uploads your videos to nemo's cloud service and requires a NEMO_TOKEN (it can also create a short-lived anonymous token automatically). Before installing/using: 1) Confirm you trust mega-api-prod.nemovideo.ai and review its privacy/terms for how uploaded media is stored/used. 2) Be aware your raw video/audio is transmitted off-device — avoid uploading sensitive content. 3) Note the registry SKILL metadata and the SKILL.md disagree about a config path; ask the publisher to clarify where any tokens or config might be stored. 4) If you prefer not to share files with an external service, do not use this skill. If you proceed, monitor where the token is saved and prefer manual token provisioning (set NEMO_TOKEN) rather than allowing automatic anonymous-token creation.

功能分析

Type: OpenClaw Skill Name: free-editing-text Version: 1.0.0 The skill provides a legitimate interface for a cloud-based video editing service hosted at nemovideo.ai. It manages authentication via the NEMO_TOKEN environment variable, handles file uploads, and coordinates video rendering tasks through documented API endpoints (e.g., mega-api-prod.nemovideo.ai). All instructions in SKILL.md are aligned with the stated purpose of editing video text, and there are no signs of data exfiltration, malicious execution, or harmful prompt injection.

能力评估

ℹ Purpose & Capability

The skill claims to perform cloud-based video text editing and all runtime instructions are consistent with that: it uses a single service domain (mega-api-prod.nemovideo.ai), requires a service token (NEMO_TOKEN), and routes uploads and render requests to the backend. One inconsistency: the registry summary above lists no required config paths, while the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) — this mismatch should be reconciled.

ℹ Instruction Scope

SKILL.md instructs the agent to upload user-supplied video/audio/images to the external nemo backend, create or reuse an anonymous token if NEMO_TOKEN is absent, create sessions, stream SSE responses, and poll render status. These steps are within the skill's stated purpose, but they explicitly transmit user media and associated metadata to an external service — treat that as a privacy decision. The instructions do not request unrelated system files or other credentials.

✓ Install Mechanism

This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer. That is the lowest-risk install profile.

ℹ Credentials

Only NEMO_TOKEN is required (declared as primaryEnv), which is proportionate for a cloud service. However, SKILL.md metadata also references a config path (~/.config/nemovideo/) and expects to detect install path for attribution headers — the registry metadata earlier omitted configPaths, creating a discrepancy to clarify. No other unrelated secrets or credentials are requested.

✓ Persistence & Privilege

The skill does not request always:true and is user-invocable. It will create ephemeral session IDs and tokens (anonymous tokens expire after 7 days) — normal for a cloud service. The skill does not request modifying other skills or system-wide settings.

版本历史

v1.0.0

Free Editing Text — First Release - Instantly edit and export video text overlays by simply describing your changes — no video timeline or manual export setup required. - Automatic cloud GPU processing: uploads, edits, and renders 1080p MP4 videos in 20–40 seconds for most clips. - Seamless user onboarding: auto-connects and manages secure tokens and sessions without exposing technical details. - Supports video, audio, and image formats up to 500MB, with clear error handling and status updates. - Workflow covers uploads, credit checks, project state, and instant exports with easy-to-understand prompts.

元数据

Slug free-editing-text

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 Editing Text 是什么？

Turn a 2-minute tutorial video with on-screen text into 1080p text-edited videos just by typing what you need. Whether it's editing on-screen text in videos... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 50 次。

如何安装 Free Editing Text？

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

Free Editing Text 是免费的吗？

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

Free Editing Text 支持哪些平台？

Free Editing Text 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 Editing Text？

由 vynbosserman65（@vynbosserman65）开发并维护，当前版本 v1.0.0。

Free Editing Text