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vynbosserman65

Caption Ab

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install caption-ab
功能描述
Skip the learning curve of professional editing software. Describe what you want — test two caption styles on my video and compare which performs better — an...
使用说明 (SKILL.md)

Getting Started

Share your video clips and I'll get started on A/B caption testing. Or just tell me what you're thinking.

Try saying:

  • "compare my video clips"
  • "export 1080p MP4"
  • "test two caption styles on my"

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.

Caption AB — Test and Compare Caption Variants

Drop your video clips in the chat and tell me what you need. I'll handle the A/B caption testing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 60-second product demo video, ask for test two caption styles on my video and compare which performs better, 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 — keep both caption variants short so differences are easy to spot in playback.

Matching Input to Actions

User prompts referencing caption ab, 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 caption-ab
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

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)

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 → "test two caption styles on my video and compare which performs better" → 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 "test two caption styles on my video and compare which performs better" — 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.

安全使用建议
This skill appears to implement the caption A/B testing workflow it describes, but proceed cautiously because (a) the backend domain has no published homepage or clear owner identity in the registry, and (b) there's an inconsistency about a config path (~/.config/nemovideo/) mentioned in the skill frontmatter. Before installing/use: 1) Prefer using the anonymous starter token (the skill offers to obtain one) for testing rather than giving any long-lived or privileged NEMO_TOKEN. 2) Test with non-sensitive, short video clips first to confirm behavior and retention. 3) Ask the publisher for a homepage, privacy/data-retention policy, and clarification about the claimed config path access. 4) If you must provide a personal NEMO_TOKEN, verify it only grants the minimum required permissions and rotate/revoke it after testing. 5) If you don't trust the unknown domain or cannot get provenance, do not upload sensitive videos.
功能分析
Type: OpenClaw Skill Name: caption-ab Version: 1.0.0 The skill is a legitimate integration for a video captioning service hosted at nemovideo.ai. It provides instructions for an AI agent to manage sessions, upload media, and trigger cloud-based video rendering for A/B testing. The use of environment variables (NEMO_TOKEN) and network requests to mega-api-prod.nemovideo.ai is consistent with the stated purpose, and there is no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The skill's name/description (A/B caption testing) aligns with the API endpoints and upload/export workflow in SKILL.md. Requesting a single NEMO_TOKEN credential is proportionate. However, SKILL.md frontmatter declares a configPaths (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths; the source/homepage are also not provided, making provenance unclear.
Instruction Scope
Instructions are specific and scoped to creating a session, uploading video files, submitting render jobs, and polling results on the external API (mega-api-prod.nemovideo.ai). The skill does not instruct reading unrelated local files or arbitrary environment variables. It does require uploading user video files to the service (privacy implication). It also asks the agent to auto-detect an install path to set a header value, which could require checking agent context.
Install Mechanism
No install spec or code is included (instruction-only). That minimizes on-disk risk; nothing is downloaded or extracted by the skill itself.
Credentials
Only NEMO_TOKEN is declared as required, which is appropriate for an API-backed service. But the SKILL.md frontmatter's inclusion of a config path (~/.config/nemovideo/) suggests possible access to local config that isn't explained elsewhere — a proportionality mismatch. The skill also offers to obtain an anonymous token for you (via the same backend), which is reasonable but means network calls can be made without a pre-provided token.
Persistence & Privilege
The skill is not force-included (always: false) and does not request elevated platform privileges or modifications to other skills. Autonomous invocation is allowed (platform default) but not combined with other high-risk requests.
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 caption-ab
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /caption-ab 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 — test and compare two caption styles on uploaded videos. - Upload MP4, MOV, AVI, or WebM files up to 500MB and get automatic A/B caption testing. - Quickly generate and compare captioned video variants in 1–2 minutes. - Simple backend connection and session setup—no manual installation required. - View and manage credits, video status, file uploads, and export tasks from chat. - Error handling and usage tips included to streamline the editing workflow.
元数据
Slug caption-ab
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

Caption Ab 是什么?

Skip the learning curve of professional editing software. Describe what you want — test two caption styles on my video and compare which performs better — an... 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 Caption Ab?

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

Caption Ab 是免费的吗?

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

Caption Ab 支持哪些平台?

Caption Ab 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 Caption Ab?

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

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