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vcarolxhberger

Transcribe Video To Text

by vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
48
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Install in OpenClaw
/install transcribe-video-to-text
Description
Skip the learning curve of professional editing software. Describe what you want — transcribe the spoken dialogue into a text document — and get text transcr...
Usage Guidance
This skill will upload whatever video you provide to a third‑party endpoint (mega-api-prod.nemovideo.ai) and will use an API token (NEMO_TOKEN) if present; otherwise it will request an anonymous token from the service. Things to consider before installing or using: 1) The publisher and homepage are unknown — verify the service and owner before sending sensitive content. 2) The skill metadata references a local config path (~/.config/nemovideo/) and asks to detect install paths — ask the author why it needs to read local files and ensure it won't search for or exfiltrate other credentials. 3) Prefer using an anonymous/starter token rather than providing long‑lived tokens; do not supply personal or sensitive videos until you trust the backend. 4) If you must use it with private data, inspect network endpoints, TLS certs, and consider running uploads through a vetted proxy or sandboxed agent. If possible, ask the skill author for a privacy/data-retention policy and a verified homepage/maintainer identity — that would increase confidence.
Capability Analysis
Type: OpenClaw Skill Name: transcribe-video-to-text Version: 1.0.0 The skill is a legitimate integration for a video transcription service (nemovideo.ai). It provides the AI agent with clear instructions for authentication, session management, and API interaction. While it requests access to a specific environment variable (NEMO_TOKEN) and configuration path (~/.config/nemovideo/), these are strictly for the service's operation. There is no evidence of malicious intent, data exfiltration of unrelated secrets, or unauthorized system access in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description (video->text transcription) match the runtime instructions to call a remote Nemovideo API and upload media. Requesting a single NEMO_TOKEN credential is appropriate. However, the metadata also declares a config path (~/.config/nemovideo/) and platform-detection via install paths — these suggest filesystem access beyond what's needed strictly to upload a file, and there's no homepage or publisher provenance to justify trusting the remote backend.
Instruction Scope
The SKILL.md instructs uploading user video files to https://mega-api-prod.nemovideo.ai and using either an environment NEMO_TOKEN or an acquired anonymous token. It also instructs reading the skill frontmatter and detecting install paths to set attribution headers — which requires local file/path access. The metadata's configPaths hint at reading ~/.config/nemovideo/, but the instructions don't explain why; reading arbitrary local config could expose other tokens or secrets.
Install Mechanism
No install spec and no code files (instruction-only). That minimizes filesystem/write risk because nothing is downloaded or executed by the skill itself.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). That is proportional for a service that needs an API token. Concerns: metadata lists a config path that could allow the skill to locate stored tokens or configs; the instructions ask to use NEMO_TOKEN if present, otherwise to call an anonymous-token endpoint — both behaviors are plausible but the implicit ability to read local config or detect install paths increases scope of access to secrets.
Persistence & Privilege
always is false and there is no install or service that persists on-disk. The skill can be invoked autonomously (default), which is normal, and it does not request permanent presence or modify other skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install transcribe-video-to-text
  3. After installation, invoke the skill by name or use /transcribe-video-to-text
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Transcribe Video to Text — Version 1.0.0 - Initial release: upload video files (MP4, MOV, AVI, or WebM up to 500MB) and automatically transcribe spoken dialogue into text. - No software or manual effort needed—AI handles all speech-to-text transcription on cloud GPUs. - Designed for journalists, students, and content creators seeking quick, accurate transcripts. - Transparent workflow: supports file upload, credit checking, export/download, and status queries. - Handles multiple video formats; optimized for clear audio in shorter clips (<5 minutes) for best results.
Metadata
Slug transcribe-video-to-text
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Transcribe Video To Text?

Skip the learning curve of professional editing software. Describe what you want — transcribe the spoken dialogue into a text document — and get text transcr... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install Transcribe Video To Text?

Run "/install transcribe-video-to-text" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Transcribe Video To Text free?

Yes, Transcribe Video To Text is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Transcribe Video To Text support?

Transcribe Video To Text is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Transcribe Video To Text?

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

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