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whitejohnk-26

Caption Generator Hitler

by whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install caption-generator-hitler
Description
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...
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install caption-generator-hitler
  3. After installation, invoke the skill by name or use /caption-generator-hitler
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug caption-generator-hitler
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Caption Generator Hitler?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 86 downloads so far.

How do I install Caption Generator Hitler?

Run "/install caption-generator-hitler" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Caption Generator Hitler free?

Yes, Caption Generator Hitler is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Caption Generator Hitler support?

Caption Generator Hitler is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Caption Generator Hitler?

It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.

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