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whitejohnk-26

Trimmer Free Online

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
126
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当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-free-online
功能描述
trim raw video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for cutting unwanted...
安全使用建议
This instruction-only skill appears to do what it says: it uploads videos to a cloud backend and returns trimmed exports using a single service token. Before installing, consider: (1) Privacy — your uploaded videos will be sent to https://mega-api-prod.nemovideo.ai; do not upload sensitive or private footage without reviewing the service's privacy/terms. (2) Token behavior — if NEMO_TOKEN is not provided the skill will obtain an anonymous token automatically; decide if you want the skill to generate/store that token for you. (3) Metadata mismatch — the skill's frontmatter mentions a local config path (~/.config/nemovideo/) and asks the agent to probe install paths for attribution; if you prefer zero filesystem probes, ask the maintainer to remove that requirement. (4) Source verification — there is no homepage or source listed; if you need higher assurance, request source code or a reputable homepage from the owner before use. If you accept those trade-offs, the skill's footprint is proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill Name: trimmer-free-online Version: 1.0.0 The skill provides a legitimate interface for a cloud-based video trimming service (nemovideo.ai). It handles authentication via environment variables or automated anonymous token generation, manages sessions, and facilitates file uploads and rendering tasks. While it performs environment fingerprinting to determine the host platform (e.g., Cursor or Clawhub) for attribution headers, this behavior is transparently documented and serves a functional purpose for the service's telemetry rather than data exfiltration.
能力评估
Purpose & Capability
The skill claims to trim video and all required capabilities (network calls to a trimming backend, a single service token NEMO_TOKEN) match that purpose. Nothing in the SKILL.md asks for unrelated cloud credentials or platform-level privileges. Minor inconsistency: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reports no required config paths.
Instruction Scope
Runtime instructions stay within the trimming workflow: check/use NEMO_TOKEN, obtain an anonymous token if absent, create a session, upload files, stream SSE events, and request exports. The SKILL.md also tells the agent to detect install path (~/.clawhub/, ~/.cursor/skills/) to set attribution headers — reading those paths is not strictly necessary for trimming and is an additional filesystem probe to be aware of. The skill will upload user files to an external API (the expected behavior for a cloud-trimming service).
Install Mechanism
No install spec and no code files — this is instruction-only and does not install third-party binaries or download archives. That minimizes install-time risk.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which is appropriate for a third-party trimming API. However, SKILL.md indicates it will generate an anonymous token via the service and treat that as NEMO_TOKEN, and the frontmatter lists a config path (~/.config/nemovideo/) not declared elsewhere. The skill also instructs storing session_id for subsequent calls — expected for a session-based API but persistent storage behavior should be confirmed by the platform.
Persistence & Privilege
always:false (normal). The skill asks to keep a session_id and token for requests, which is reasonable for a sessioned API. It does not request modifications to other skills or system-wide settings.
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 trimmer-free-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trimmer-free-online 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
Trimmer Free Online — Version 1.0.0 - Initial release: Trim, edit, and export video clips (MP4, MOV, AVI, WebM up to 500MB) directly in the cloud, no software download needed. - Supports fast upload, AI-powered video segment removal, and export to 1080p MP4 in around 20–40 seconds. - Handles user instructions for timeline edits, cuts, overlays, BGM, and aspect ratio changes. - Provides free anonymous authentication with 100 credits; session management and cloud rendering included. - Error handling and API communication fully integrated; supports common video, audio, and image formats for output and upload. - Designed for quick, iterative workflows for content creators with seamless status, credit, and export management.
元数据
Slug trimmer-free-online
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

Trimmer Free Online 是什么?

trim raw video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for cutting unwanted... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 126 次。

如何安装 Trimmer Free Online?

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

Trimmer Free Online 是免费的吗?

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

Trimmer Free Online 支持哪些平台?

Trimmer Free Online 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 Trimmer Free Online?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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