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whitejohnk-26

Caption Generator Hitler

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install caption-generator-hitler
功能描述
add video clips into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. educators, documentary creators, history conten...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "add my video clips"
  • "export 1080p MP4"
  • "add captions to a historical video"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Caption Generator — Add Captions to Historical Videos

Drop your video clips in the chat and tell me what you need. I'll handle the subtitle generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute documentary clip about World War II history, ask for add captions to a historical video about Hitler and Nazi Germany, 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 5 minutes process significantly faster.

Matching Input to Actions

User prompts referencing caption generator hitler, 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: caption-generator-hitler
  • 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 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

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 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)

Common Workflows

Quick edit: Upload → "add captions to a historical video about Hitler and Nazi Germany" → 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 captions to a historical video about Hitler and Nazi Germany" — 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.

安全使用建议
This skill will upload your video files to an external service (mega-api-prod.nemovideo.ai) and requires a NEMO_TOKEN to authenticate. Before installing or invoking: (1) Verify you are comfortable uploading the video content (privacy/rights implications). (2) Prefer the anonymous token flow if you don't want to supply a long-lived credential; check how long tokens/credits last. (3) Ask the skill author (or registry) to clarify the configPaths/inconsistency — will the agent read ~/.config/nemovideo/ or probe installation paths? If so, what will it read and why? (4) Confirm the service's domain and review its privacy/retention policy if you plan to upload sensitive footage. (5) If you have concerns, don't provide any persistent/privileged credentials; use ephemeral/anonymous tokens or test with non-sensitive media first.
功能分析
Type: OpenClaw Skill Name: caption-generator-hitler Version: 1.0.0 The skill is a functional wrapper for a video captioning service (nemovideo.ai) focused on historical documentary footage. While the specific thematic focus on historical figures like Hitler is sensitive, the code and instructions (SKILL.md) lack any indicators of technical malice, such as data exfiltration, unauthorized shell execution, or harmful prompt injection. It follows standard API patterns for session management, file uploads, and credit tracking, and even includes security-conscious instructions for the agent to avoid printing raw tokens or JSON.
能力评估
Purpose & Capability
The skill's name/description (captioning historical videos) aligns with the runtime actions: obtaining a token, creating a session, uploading videos, requesting renders at nemovideo.ai. Requesting NEMO_TOKEN as the primary credential is expected. However the frontmatter metadata mentions a config path (~/.config/nemovideo/) even though the registry metadata listed no required config paths — that's an inconsistency worth questioning.
Instruction Scope
Instructions require contacting an external API and uploading user media (expected for cloud captioning). They also instruct the agent to read this file's frontmatter for attribution headers and to detect the agent's install path (~/.clawhub/ or ~/.cursor/skills/) to set X-Skill-Platform — that requires probing local filesystem/paths beyond simply using a provided token. While these actions can be justified for attribution, they broaden the skill's scope and should be explicitly authorized.
Install Mechanism
No install spec or code files — instruction-only skill. No downloads or archive extraction. This is lower risk since nothing is written/executed locally by an installer.
Credentials
The only declared required env var is NEMO_TOKEN (primaryEnv), which fits the described API usage. But the SKILL.md frontmatter also lists a configPaths entry (~/.config/nemovideo/) that could expose local config files if the agent follows that metadata; the registry-level requirements did not declare this. Confirm whether the skill will actually read that path and what it would look for before supplying credentials.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It stores short-lived session IDs for render jobs (normal). It does not declare modifying other skills or system-wide 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 caption-generator-hitler
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /caption-generator-hitler 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
Caption Generator — Add Captions to Historical Videos v1.0.0 - Initial release: add automatic caption generation for historical video clips up to 500MB (MP4, MOV, AVI, WebM). - Fast cloud-based processing delivers 1080p MP4 files with captions in about 30–60 seconds. - Simple onboarding: supports both pre-set and free anonymous token workflows. - Session management keeps your edits and timeline state persistent for iterative editing. - Robust error handling for token, file type, credit, and subscription issues. - Supports multiple workflows: quick edit, batch processing, and iterative refinement.
元数据
Slug caption-generator-hitler
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 Generator Hitler 是什么?

add video clips into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. educators, documentary creators, history conten... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。

如何安装 Caption Generator Hitler?

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

Caption Generator Hitler 是免费的吗?

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

Caption Generator Hitler 支持哪些平台?

Caption Generator Hitler 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 Generator Hitler?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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