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Transcribe Video To Text
作者
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
48
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install transcribe-video-to-text
功能描述
Skip the learning curve of professional editing software. Describe what you want — transcribe the spoken dialogue into a text document — and get text transcr...
安全使用建议
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.
功能分析
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.
能力评估
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.
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 transcribe-video-to-text - 安装完成后,直接呼叫该 Skill 的名称或使用
/transcribe-video-to-text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
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.
元数据
常见问题
Transcribe Video To Text 是什么?
Skip the learning curve of professional editing software. Describe what you want — transcribe the spoken dialogue into a text document — and get text transcr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。
如何安装 Transcribe Video To Text?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install transcribe-video-to-text」即可一键安装,无需额外配置。
Transcribe Video To Text 是免费的吗?
是的,Transcribe Video To Text 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Transcribe Video To Text 支持哪些平台?
Transcribe Video To Text 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 Transcribe Video To Text?
由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。
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