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tk8544-b

Video Trimmer Github

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
99
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-trimmer-github
功能描述
trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for cutti...
安全使用建议
This skill appears to do what it says: contact a remote video-rendering API, upload videos, and return exports. Before installing: (1) verify the service domain (mega-api-prod.nemovideo.ai) and confirm you trust it; (2) note that NEMO_TOKEN grants access to your render jobs — treat it like a credential and avoid using high-privilege keys; (3) ask the publisher whether the skill will read ~/.config/nemovideo/ (frontmatter mentions it but the registry metadata did not); (4) prefer generating a limited anonymous token (as described) rather than pasting long-lived secrets; and (5) if you need higher assurance, request the skill source or a known homepage instead of an unknown source before use.
功能分析
Type: OpenClaw Skill Name: video-trimmer-github Version: 1.0.0 The skill is a legitimate integration for a cloud-based video editing service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage sessions, upload video files, and poll for rendering status. While it includes standard telemetry (platform detection) and handles remote tool calls via an SSE stream—which could theoretically be a vector for RCE if the backend were compromised—these are standard architectural patterns for agentic services and there is no evidence of malicious intent, data exfiltration, or unauthorized local execution.
能力评估
Purpose & Capability
The skill claims to trim videos and its instructions solely describe contacting a remote rendering API, uploading files, creating sessions, and exporting results. Requesting a single service token (NEMO_TOKEN) is consistent with this purpose.
Instruction Scope
SKILL.md instructs the agent to obtain or use a NEMO_TOKEN, create sessions, upload files, and handle SSE streams — all expected for a cloud video trimming workflow. It does not instruct reading arbitrary system files or unrelated environment variables. Note: the frontmatter references a config path (~/.config/nemovideo/) that suggests the agent might look for on-disk config; the registry listing did not declare required config paths, which is an inconsistency to verify.
Install Mechanism
No install spec or code is provided (instruction-only), so nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only NEMO_TOKEN is required as the primary credential, which aligns with the described API usage. However, the frontmatter's mention of a config path (~/.config/nemovideo/) could imply the skill expects on-disk credentials/config; confirm whether the skill will read that directory before installing or providing a token.
Persistence & Privilege
The skill is not marked always:true and uses the platform default (agent-invocable). It does not request system-wide persistence or privileges beyond storing session IDs/tokens needed for API calls.
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 video-trimmer-github
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-trimmer-github 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
Video Trimmer — First Release (v1.0.0) - Launches a cloud-powered video trimmer supporting MP4, MOV, AVI, WebM videos up to 500MB. - Allows trimming, cutting, and exporting of video clips as 1080p MP4s—no installation required. - Automatic setup with free anonymous token (100 credits, 7 days) for new users. - Fast processing (20–40 seconds typical) with simple upload and text instruction prompts. - Includes error handling and clear instructions for common workflows and API integrations.
元数据
Slug video-trimmer-github
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

Video Trimmer Github 是什么?

trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for cutti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 Video Trimmer Github?

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

Video Trimmer Github 是免费的吗?

是的,Video Trimmer Github 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Trimmer Github 支持哪些平台?

Video Trimmer Github 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 Trimmer Github?

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

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