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Transcribe Video To Text
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
48
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0
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0
Active Installs
1
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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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install transcribe-video-to-text - After installation, invoke the skill by name or use
/transcribe-video-to-text - 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
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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