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Video To Text Converter Free
by
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
93
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0
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0
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1
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Install in OpenClaw
/install video-to-text-converter-free
Description
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, journalists, content creators us...
Usage Guidance
Before installing or using this skill: (1) confirm the service domain (mega-api-prod.nemovideo.ai) is trustworthy and read its privacy/retention policy — uploading video sends potentially sensitive data off your machine; (2) ask the skill author to fix metadata inconsistencies (the registry says NEMO_TOKEN is required, but SKILL.md can auto-generate an anonymous token; frontmatter lists a configPath but registry shows none); (3) ask where and how NEMO_TOKEN and session_id will be stored (encrypted on disk, ephemeral in memory, retention time); (4) if you have sensitive videos, avoid using automatic anonymous token generation or sending files until you verify the backend; (5) consider requiring the developer to remove unnecessary filesystem checks (install-path detection, reading ~/.config/nemovideo/) or to explicitly justify them; and (6) if you proceed, monitor network traffic for unexpected endpoints and prefer one-off tokens rather than long-lived credentials.
Capability Analysis
Type: OpenClaw Skill
Name: video-to-text-converter-free
Version: 1.0.0
The skill is a functional wrapper for the NemoVideo API (mega-api-prod.nemovideo.ai), designed to handle video transcription and editing tasks. It provides clear instructions for the AI agent to manage authentication via anonymous tokens, session creation, and file uploads. While it includes minor telemetry by detecting the host platform via installation paths (~/.clawhub/ or ~/.cursor/skills/) and has some descriptive inconsistencies (claiming to be a text converter while outputting MP4s), there is no evidence of malicious intent, data exfiltration, or unauthorized execution. All actions are aligned with the stated purpose of providing a cloud-based video processing service.
Capability Assessment
Purpose & Capability
The declared purpose (transcribe video to text via a remote service) aligns with the API calls in SKILL.md and the single credential (NEMO_TOKEN). However the metadata/instructions conflict with the registry manifest: requires.env lists NEMO_TOKEN as required, yet SKILL.md describes automatically obtaining an anonymous token if NEMO_TOKEN is not set. The frontmatter also lists a config path (~/.config/nemovideo/) while the registry summary showed none — this mismatch is an incoherence to resolve.
Instruction Scope
Instructions direct network calls to https://mega-api-prod.nemovideo.ai for auth, uploads, SSE, and rendering (expected). They also instruct deriving headers from the skill's YAML frontmatter and detecting the install path (~/.clawhub/, ~/.cursor/skills/) — which requires inspecting the agent's filesystem/environment. SKILL.md further says to 'store' the token and session_id but gives no safe storage mechanism. These file-system reads and the unspecified token storage are broader scope than a purely stateless API client and are not fully justified or explained.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is downloaded or written at install time. That minimizes installation risk.
Credentials
Only one credential (NEMO_TOKEN) is declared, which is appropriate for a third‑party API. But SKILL.md will generate an anonymous token if NEMO_TOKEN is absent, making the explicit 'required' label misleading. The frontmatter also references a config path (~/.config/nemovideo/) and instructs detecting install paths for header values — both imply the skill may read local files/configs beyond what a simple uploader needs. Uploading user videos to a third-party service is expected but may expose sensitive data; the skill provides no privacy/retention details.
Persistence & Privilege
The skill does not request always:true and can be invoked by the user. It instructs storing NEMO_TOKEN and session_id for subsequent requests, which is normal for session-based APIs, but where/how to persist these (and for how long) is unspecified and thus worth clarifying.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-to-text-converter-free - After installation, invoke the skill by name or use
/video-to-text-converter-free - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video to Text Converter Free — Initial Release
- Convert video files (MP4, MOV, AVI, WebM up to 500MB) into transcribed text using cloud GPU processing.
- Easy, quick workflow: upload video, request transcription, receive 1080p MP4 output in 30–90 seconds.
- Automatic setup: generates and manages free API tokens (100 credits, 7 days) for new users.
- Session-based processing allows batch uploads, timeline editing, and repeated refinements.
- Built-in guidance for typical actions: transcribe, export, check credits, and monitor job status.
- Clear error handling for unsupported files, quota limits, and network issues.
Metadata
Frequently Asked Questions
What is Video To Text Converter Free?
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, journalists, content creators us... It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.
How do I install Video To Text Converter Free?
Run "/install video-to-text-converter-free" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video To Text Converter Free free?
Yes, Video To Text Converter Free is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video To Text Converter Free support?
Video To Text Converter Free is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video To Text Converter Free?
It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.
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