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mory128

Free Editor Text

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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版本数
在 OpenClaw 中安装
/install free-editor-text
功能描述
Get text-overlaid videos ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "add...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "add my video clips"
  • "export 1080p MP4"
  • "add on-screen text overlays and captions"

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.

Free Editor Text — Add Text Overlays to Videos

Drop your video clips 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 talking-head video clip, ask for add on-screen text overlays and captions to my video for free, and about 30-60 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 under 60 seconds process and render text overlays significantly faster.

Matching Input to Actions

User prompts referencing free editor 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-editor-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

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.

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 → "add on-screen text overlays and captions to my video for free" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add on-screen text overlays and captions to my video for free" — 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 implement a cloud video text-overlay service and legitimately needs a token to upload and render videos. However: - The SKILL.md instructs the agent to read your home-directory install paths (e.g., ~/.clawhub, ~/.cursor/skills/) and references a config path (~/.config/nemovideo/). That filesystem probing is not necessary for basic uploading/rendering and increases what the agent can read on your machine—ask whether the skill really needs to inspect these paths. - The skill will use any NEMO_TOKEN present or obtain an anonymous token by calling the external API. Confirm you trust the domain (mega-api-prod.nemovideo.ai) before uploading private videos. Consider using a temporary token or test account for sensitive content. - Ask whether the agent persists the anonymous token it fetches, and where it stores it. If you have privacy concerns, do not provide your primary tokens and use temporary/limited credentials. - The registry metadata and SKILL.md disagree about config path requirements (registry listed none while the frontmatter includes a config path). This inconsistency should be resolved by the publisher. If you decide to proceed, verify the service's privacy/terms and prefer a throwaway token for testing. If you are uncomfortable with filesystem checks or uploading sensitive media, do not install or invoke the skill.
功能分析
Type: OpenClaw Skill Name: free-editor-text Version: 1.0.0 The skill automates video editing by communicating with an external API (mega-api-prod.nemovideo.ai) and includes instructions for the agent to autonomously manage authentication tokens and session state. It performs environment fingerprinting by sniffing installation paths (e.g., ~/.cursor/skills/) and is explicitly instructed to hide technical execution details from the user. Most significantly, the skill's architecture allows a remote server to trigger 'internal tool calls' via an SSE stream, creating a potential path for remote command execution if the backend is compromised or malicious. File: SKILL.md.
能力评估
Purpose & Capability
Name/description and the runtime instructions consistently describe a cloud video text-overlay service that needs an auth token and upload endpoints. Requesting NEMO_TOKEN for Authorization is proportionate to the stated purpose.
Instruction Scope
The SKILL.md tells the agent to probe the filesystem to detect attribution/install paths (e.g., ~/.clawhub, ~/.cursor/skills/) and references a config path (~/.config/nemovideo/) in its frontmatter. Detecting platform via reading user home directories is unnecessary for core video-editing and expands the agent's read-surface on the host.
Install Mechanism
This is an instruction-only skill with no install spec or packaged code, so nothing is written to disk by an installer. That is the lowest-risk install posture.
Credentials
Only one credential (NEMO_TOKEN) is declared and used for API calls, which aligns with the service. However, the skill also instructs obtaining an anonymous token at runtime and to reuse it as NEMO_TOKEN; consider whether the agent will persist that token or expose it elsewhere.
Persistence & Privilege
The skill does not request always: true or other elevated privileges and is user-invocable. Autonomous invocation is allowed (platform default) but not, by itself, a red flag.
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 free-editor-text
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-editor-text 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 Free Editor Text skill — add AI-powered text overlays and captions to your videos, free. - Upload MP4, MOV, AVI, or WebM clips up to 500MB; add on-screen text and captions with a single prompt. - No manual editing needed — just describe what you want. - Automatic backend authentication and cloud GPU rendering. - Download your finished 1080p MP4 in seconds; quick turnaround for short clips. - Supports batch processing, timeline-based preview, and free usage for up to 100 credits.
元数据
Slug free-editor-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 Editor Text 是什么?

Get text-overlaid videos ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "add... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 58 次。

如何安装 Free Editor Text?

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

Free Editor Text 是免费的吗?

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

Free Editor Text 支持哪些平台?

Free Editor 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 Editor Text?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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