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在 OpenClaw 中安装
/install trimmer-app
功能描述
Skip the learning curve of professional editing software. Describe what you want — trim the first 30 seconds and cut the dead air at the end — and get trimme...
安全使用建议
This skill appears to be a thin client for the nemovideo.ai cloud trimming service and will upload your video files to that backend. Before installing or providing credentials: 1) Confirm you trust https://mega-api-prod.nemovideo.ai and review its privacy/retention policy for uploaded media. 2) Note the metadata says NEMO_TOKEN is required but the instructions can create an anonymous token—if you set your own NEMO_TOKEN, it may grant longer access/credits; only provide it if you trust the service. 3) Ask the author whether the skill will store tokens or job data under ~/.config/nemovideo/ (metadata lists this path but SKILL.md doesn’t explain it); if so, consider where that data is stored and its protections. 4) If you have sensitive footage, avoid uploading it until you validate the backend. Given the metadata/instructions mismatch, treat the skill as coherent with caution and request clarification from the publisher before trusting private content or supplying a permanent token.
功能分析
Type: OpenClaw Skill
Name: trimmer-app
Version: 1.0.0
The skill is a functional integration for a cloud-based video editing service (nemovideo.ai). It provides clear instructions for the agent to manage authentication tokens, sessions, and API calls for video processing. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; all network activities and environment variable usage (NEMO_TOKEN) are directly aligned with the stated purpose of video trimming.
能力评估
Purpose & Capability
The skill is described as a cloud video-trimming front end and all runtime instructions call a remote video-processing API (upload, render, status, credits). That matches the stated purpose. However, the registry declares NEMO_TOKEN as a required environment variable and a config path (~/.config/nemovideo/) even though the SKILL.md explicitly supports creating an anonymous token if NEMO_TOKEN is absent. The presence of the config path in metadata is not explained by the instructions.
Instruction Scope
SKILL.md limits actions to contacting the nemovideo backend (auth, session, upload, render, credits, state) and streaming SSE. It does not instruct reading arbitrary user files or system secrets beyond the NEMO_TOKEN. It does ask to detect install path to set X-Skill-Platform header, which may require inspecting where the skill is located, but otherwise stays within its editing remit.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only, so nothing is written to disk by an installer. This is the lowest-risk install mechanism.
Credentials
The skill declares a single primary env var (NEMO_TOKEN), which is reasonable for a cloud API. However, the metadata marks it required while the SKILL.md provides a fallback anonymous-token flow if the variable is missing. The metadata also lists a config path (~/.config/nemovideo/) that the instructions never explicitly read or write—this mismatch could indicate sloppy metadata or an undocumented persistence behaviour (e.g., storing tokens locally). Verify whether tokens or job metadata are stored locally and whether providing your own NEMO_TOKEN is necessary or safe.
Persistence & Privilege
The skill is not force-included (always: false) and requests no special platform privileges. It does not instruct modifying other skills or global agent settings. Autonomous invocation is permitted (the platform default) but not combined with other high-risk indicators here.
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 trimmer-app - 安装完成后，直接呼叫该 Skill 的名称或使用
/trimmer-app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
Trimmer App 1.0.0 — Initial Release
- Instantly trim and export video clips via natural language prompts (e.g., "trim the first 30 seconds").
- Supports uploads of MP4, MOV, AVI, and WebM files up to 500MB.
- Cloud-based editing: no installation required; setup handles authentication and session automatically.
- Credits-based usage: 100 free credits on first connection, with basic balance and error handling included.
- Supports multi-format exports (MP4 default, 1080p quality) and batch processing.
- User-friendly error messages for unsupported formats, oversized files, rate limits, and expired sessions.
元数据
常见问题
Trimmer App 是什么？
Skip the learning curve of professional editing software. Describe what you want — trim the first 30 seconds and cut the dead air at the end — and get trimme... 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 Trimmer App？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-app」即可一键安装，无需额外配置。
Trimmer App 是免费的吗？
是的，Trimmer App 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Trimmer App 支持哪些平台？
Trimmer App 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 App？
由 tk8544-b（@tk8544-b）开发并维护，当前版本 v1.0.0。
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