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Instagram Video Caption Download

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install instagram-video-caption-download
功能描述
Turn a 60-second Instagram Reel with spoken dialogue into 1080p captioned video files just by typing what you need. Whether it's downloading captions from In...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your Instagram video here or describe what you want to make.

Try saying:

  • "extract a 60-second Instagram Reel with spoken dialogue into a 1080p MP4"
  • "extract and download the captions from this Instagram video as a text or SRT file"
  • "downloading captions from Instagram videos for reuse or editing for Instagram 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.

Instagram Video Caption Download — Extract and Download Video Captions

Send me your Instagram video and describe the result you want. The caption extraction download runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 60-second Instagram Reel with spoken dialogue, type "extract and download the captions from this Instagram video as a text or SRT file", and you'll get a 1080p MP4 back in roughly 20-40 seconds. All rendering happens server-side.

Worth noting: shorter clips under 60 seconds process and export captions faster.

Matching Input to Actions

User prompts referencing instagram video caption download, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source instagram-video-caption-download
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

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)

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

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.

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

Common Workflows

Quick edit: Upload → "extract and download the captions from this Instagram video as a text or SRT file" → 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 "extract and download the captions from this Instagram video as a text or SRT file" — 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 Instagram and other platforms.

安全使用建议
This skill appears to do what it says (upload a short Instagram video to a remote service to extract captions and return a rendered file), but review the following before installing or running it: - Source and provenance: the skill has no listed homepage or source repo. That makes it harder to verify the remote service (nemovideo.ai) and the operator. Prefer skills from known publishers or with a public repo. - Data exfiltration/privacy: using the skill uploads your video and audio to https://mega-api-prod.nemovideo.ai. Do not use it with private/sensitive content unless you trust that service and its retention/privacy policies. - Token handling: the skill expects NEMO_TOKEN (or will request an anonymous token by POSTing to the service). Be cautious about supplying long-lived tokens; if you provide one, ensure it has only the needed scope. If you let it acquire an anonymous token, know that agent-initiated network calls will occur automatically. - Metadata mismatch: the SKILL.md frontmatter references a local config path (~/.config/nemovideo/) that is not declared in the registry metadata — ask the publisher to clarify whether the skill reads or writes local config. If you want to proceed: ask the publisher for a homepage or repo, confirm the service's privacy/retention policy, and prefer using ephemeral anonymous tokens rather than permanent credentials. If you have very sensitive videos, do not use this skill.
功能分析
Type: OpenClaw Skill Name: instagram-video-caption-download Version: 1.0.0 The skill is a functional wrapper for the nemovideo.ai API, designed to automate Instagram video caption extraction and rendering. It handles authentication via the NEMO_TOKEN environment variable or an anonymous token acquisition process and communicates exclusively with the legitimate backend domain (mega-api-prod.nemovideo.ai). The instructions in SKILL.md are well-defined, focusing on session management, file uploads, and state polling, with no evidence of data exfiltration, unauthorized local execution, or malicious prompt injection.
能力评估
Purpose & Capability
The skill describes extracting captions and rendering captioned video via a remote GPU service and only requests a single API token (NEMO_TOKEN), which is consistent with the described functionality. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this mismatch is unexplained and worth verifying.
Instruction Scope
The instructions are detailed and remain within the stated purpose: they instruct the agent to use NEMO_TOKEN (or obtain an anonymous token), create a session, upload media, drive SSE chat/editing, poll export endpoints, and return download URLs. This requires transmitting user videos and metadata to https://mega-api-prod.nemovideo.ai, which is expected for a cloud-rendering service but is a privacy/consent concern (user media leaves the local machine). No instructions appear to read unrelated system files or extra environment variables.
Install Mechanism
Instruction-only skill with no install spec or downloaded code — lowest installation risk. Nothing is written to disk by the skill itself.
Credentials
Only NEMO_TOKEN is required (declared as primary), which fits the purpose. The SKILL.md also suggests a config path in its metadata (~/.config/nemovideo/), which would grant access to local config if used — that was not declared in the registry fields and is inconsistent. The skill also instructs to obtain an anonymous token via a network call if no token is present, which is reasonable but means the agent will perform external network requests automatically.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not attempt to modify other skills or system-wide settings in its instructions.
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 instagram-video-caption-download
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /instagram-video-caption-download 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 enabling quick extraction and download of captions from Instagram videos. - Upload a 60-second Instagram Reel and request captions as a 1080p video or text/SRT file. - Automated backend workflow: quick API-based caption extraction and export, no timeline editing or manual export needed. - Supports multiple formats (mp4, mov, avi, webm, jpg, png, gif, mp3, wav, etc.) with up to 500MB file size. - Offers anonymous token workflow for easy onboarding and 100 free credits valid for 7 days. - Designed for fast turnaround — typical clip processes in 20–40 seconds; all operations run on remote GPU servers.
元数据
Slug instagram-video-caption-download
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

Instagram Video Caption Download 是什么?

Turn a 60-second Instagram Reel with spoken dialogue into 1080p captioned video files just by typing what you need. Whether it's downloading captions from In... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 47 次。

如何安装 Instagram Video Caption Download?

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

Instagram Video Caption Download 是免费的吗?

是的,Instagram Video Caption Download 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Instagram Video Caption Download 支持哪些平台?

Instagram Video Caption Download 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 Instagram Video Caption Download?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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