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在 OpenClaw 中安装
/install video-to-text-gratis
功能描述
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, content creators, journalists us...
安全使用建议
This skill implements a cloud-based transcription/render pipeline: uploading a video will send the file to mega-api-prod.nemovideo.ai and the service will return transcripts and exported MP4s. Before installing or using it, consider: (1) privacy — do not upload sensitive or confidential videos unless you trust the unknown service owner (no homepage/provenance provided); (2) token handling — the skill will use NEMO_TOKEN if present or request an anonymous token from the backend (it can obtain short-lived credentials itself); (3) local file access — it may read certain local paths (its frontmatter references ~/.config/nemovideo/ and asks to detect install path) though no installer runs; (4) data retention and terms — confirm how uploaded media and transcripts are stored/retained by the backend. If you need stronger guarantees, prefer a local transcription tool or ask the skill author for a public homepage, privacy/retention policy, and source code so you can audit the service.
功能分析
Type: OpenClaw Skill
Name: video-to-text-gratis
Version: 1.0.0
The skill is a legitimate integration for a video transcription service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage authentication via anonymous tokens, handle file uploads, and poll for cloud-rendered video results. While it includes telemetry-like attribution headers (X-Skill-Platform) and requires network access to its backend, these behaviors are transparently documented and directly support the stated purpose of converting video to text without any evidence of malicious intent or unauthorized data access.
能力评估
Purpose & Capability
The name/description (video→text transcription) align with the required credential (NEMO_TOKEN) and the SKILL.md which documents HTTP APIs for uploading videos, creating sessions, polling render status, and getting transcripts/exports. Requesting a token for a cloud backend is expected for this purpose.
Instruction Scope
Instructions explicitly direct the agent to read NEMO_TOKEN, create sessions, upload files (multipart or by URL), use SSE for streaming responses, and poll render endpoints. These are coherent for a remote transcription/render service. Notably, the skill also instructs the agent to detect install path and read its own YAML frontmatter for attribution headers; that requires checking local paths (e.g. ~/.clawhub/, ~/.cursor/) and may touch a config path declared in the frontmatter (~/.config/nemovideo/) — this is not essential to core transcription and is an ancillary behavior to be aware of. All user-provided video data will be sent to mega-api-prod.nemovideo.ai as part of normal operation.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. That minimizes on-disk installation risk; runtime behavior is limited to making network calls and reading environment/files as described.
Credentials
Only one credential is declared (NEMO_TOKEN), which matches the backend usage. The SKILL.md also documents an anonymous-token flow (POST to the backend to obtain a temporary token if NEMO_TOKEN is not present), which is coherent but means the skill can obtain and use short-lived credentials itself. The frontmatter mentions a config path (~/.config/nemovideo/) that the registry metadata did not list — a minor inconsistency that means the skill may read that directory if present.
Persistence & Privilege
The skill is not force-installed (always: false) and has no install actions. It does not request system-wide privileges or modify other skills. Autonomous invocation is enabled by default but is not combined with other high-risk flags.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install video-to-text-gratis - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-to-text-gratis触发 - 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
- Initial release of Video to Text Gratis — convert video speech to text with free cloud GPU processing.
- Supports MP4, MOV, AVI, WebM files up to 500MB; delivers 1080p MP4 results in 30–60 seconds.
- Automatically authenticates via anonymous token for first-time users (100 free credits, 7-day expiry).
- Handles video upload, transcription, export, credit balance, and state queries through clear user prompts.
- Guided error handling for unsupported formats, oversized files, expired tokens, and export restrictions.
- Suitable for students, content creators, and journalists seeking quick video-to-text conversion.
元数据
常见问题
Video To Text Gratis 是什么?
convert video files into transcribed text files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. students, content creators, journalists us... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。
如何安装 Video To Text Gratis?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-to-text-gratis」即可一键安装,无需额外配置。
Video To Text Gratis 是免费的吗?
是的,Video To Text Gratis 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video To Text Gratis 支持哪些平台?
Video To Text Gratis 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 Video To Text Gratis?
由 mory128(@mory128)开发并维护,当前版本 v1.0.0。
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