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tk8544-b

Transcribe Video To Text Free

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
61
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-free
功能描述
Get plain text transcript ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something like "tr...
安全使用建议
This skill appears to do what it says (upload your video to nemovideo.ai for transcription) and only asks for a single service token. Before installing or using it: - Remember uploads go to an external service (mega-api-prod.nemovideo.ai). Do not upload sensitive or confidential video unless you trust that domain and its privacy policy. - NEMO_TOKEN (if set in your environment) will be used directly; avoid placing long-lived or privileged credentials in environment variables unless necessary. Prefer the anonymous-token flow for occasional use. - The skill has no published source or homepage — lack of provenance increases risk. Consider asking the publisher for documentation, a privacy policy, or a canonical repo before trusting it. - The frontmatter mentions a local config path (~/.config/nemovideo/) but the instructions do not say to read it — clarify with the publisher whether the skill will access local config files. - If you need higher assurance, test with non-sensitive sample videos and inspect network/activity logs (or run in an isolated environment) before using with private content.
功能分析
Type: OpenClaw Skill Name: transcribe-video-to-text-free Version: 1.0.0 The skill is a functional wrapper for a video transcription and editing service hosted at mega-api-prod.nemovideo.ai. It defines standard API interactions for authentication, session management, file uploads, and polling for export results. The instructions provided in SKILL.md are consistent with the stated purpose of the tool and do not contain evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (video→text transcription) aligns with the declared NEMO_TOKEN credential and the SKILL.md which calls nemovideo.ai endpoints. Minor mismatch: frontmatter lists a config path (~/.config/nemovideo/) that the instructions never explicitly say to read; this is a small inconsistency but not a strong indicator of malicious intent.
Instruction Scope
SKILL.md confines operations to uploading user-supplied media and calling the nemovideo.ai API (session creation, upload, SSE, export/polling). It does require generating an anonymous token when NEMO_TOKEN is not present and storing session_id, but it does not instruct reading arbitrary local files or accessing unrelated environment variables. It does require adding attribution headers and 'auto-detecting' platform from an install path which may require the agent to inspect its environment/install location — this is reasonable for attribution but worth noting.
Install Mechanism
No install spec or code files are included (instruction-only skill). That minimizes on-disk write/execution risk.
Credentials
Only NEMO_TOKEN is required (primaryEnv). That is proportional for a third‑party transcription API. The skill also documents an anonymous-token flow if NEMO_TOKEN is missing. The declared config path is not used in the instructions — this should be clarified by the publisher. No other unrelated secrets are requested.
Persistence & Privilege
always is false and there's no install-time persistence or modifications to other skills or system-wide configs described. The skill stores short-lived session_id/token info for API calls, which is expected for this functionality.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install transcribe-video-to-text-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /transcribe-video-to-text-free 触发
  4. 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 transcribe-video-to-text-free. - Upload video files (MP4, MOV, AVI, WebM, up to 500MB), and receive a plain text transcription of spoken content. - Automated cloud-based speech transcription—no manual typing needed. - Fast processing (1-2 minutes for short clips); supports batch uploads and iterative editing. - Download resulting transcript in text or as a 1080p MP4 with transcript overlay. - Designed for students, journalists, and content creators needing accurate text quickly. - Simple onboarding with free credits and easy setup—no local installation required.
元数据
Slug transcribe-video-to-text-free
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Transcribe Video To Text Free 是什么?

Get plain text transcript ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something like "tr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 61 次。

如何安装 Transcribe Video To Text Free?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install transcribe-video-to-text-free」即可一键安装,无需额外配置。

Transcribe Video To Text Free 是免费的吗?

是的,Transcribe Video To Text Free 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 Free 支持哪些平台?

Transcribe Video To Text Free 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 Free?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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