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Trimmer In Vlc
作者
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
59
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-in-vlc
功能描述
Turn a 10-minute MP4 recording with unwanted sections into 1080p trimmed video clips just by typing what you need. Whether it's cutting and trimming video cl...
安全使用建议
This skill appears to be a cloud-based video trimmer (nemovideo) despite its VLC-themed name. Before installing or using it: 1) Understand that videos will be uploaded to https://mega-api-prod.nemovideo.ai — do not send sensitive or private footage unless you trust that service and have read its privacy/terms. 2) The skill asks for NEMO_TOKEN (or will request an anonymous token); prefer using an anonymous/testing token and test with non-sensitive videos first. 3) Note the metadata mismatch (VLC name vs cloud API and inconsistent configPath declarations) — that could be sloppy labeling or a sign of copy-paste errors; ask the publisher for clarification if you need local VLC-only behavior. 4) Check the domain and headers the skill requires (X-Skill-Source, X-Skill-Version, X-Skill-Platform) and confirm you are comfortable the agent will send those on every request. 5) If you don’t want cloud uploads, don’t install — this skill does not perform trimming locally. If you want more assurance, request the publisher to clarify the name, remove confusing configPath metadata, and provide a privacy/terms link for the endpoint.
功能分析
Type: OpenClaw Skill
Name: trimmer-in-vlc
Version: 1.0.0
The 'trimmer-in-vlc' skill is a cloud-based video editing integration that interfaces with the 'nemovideo.ai' API. It provides structured instructions for an AI agent to handle authentication, session management, file uploads, and video rendering on remote GPUs. While the skill requires network access and handles user-uploaded media, these actions are explicitly described as part of its core functionality. The use of local configuration paths (~/.config/nemovideo/) and environment variables (NEMO_TOKEN) is consistent with standard API integration patterns, and no evidence of malicious intent, unauthorized data exfiltration, or harmful prompt injection was found.
能力评估
Purpose & Capability
The skill is named and described as a 'Trimmer In VLC' (which implies local VLC integration), but every runtime instruction points to a cloud API (mega-api-prod.nemovideo.ai) and cloud GPU rendering. The required NEMO_TOKEN and the service endpoints make sense for a cloud trimming service, not for VLC. This name/intent mismatch is incoherent and could mislead users about where their video data goes.
Instruction Scope
SKILL.md stays mostly within video upload, session creation, SSE, and export flows for the nemovideo API. It instructs using NEMO_TOKEN (if present) or requesting an anonymous token, creating sessions, uploading files, and polling render status. Nothing in the instructions asks to read unrelated local files or other environment variables, but the skill asks to 'keep technical details out of the chat' (a UI guidance) and requires adding attribution headers for every request. The instructions are explicit about network calls and uploading user media — which has privacy implications but is consistent with a cloud trimming service.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest-risk installation footprint. Nothing is downloaded or written by an install step.
Credentials
The only required credential is NEMO_TOKEN (primaryEnv), which is proportional for a service that requires authentication. However, SKILL.md frontmatter also references a config path (~/.config/nemovideo/) while the registry metadata lists no config paths — this inconsistency is unexplained. The skill will also obtain an anonymous token if no NEMO_TOKEN is present, which means it will make network requests on the user's behalf even without preexisting credentials.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not attempt to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined here with other high-risk factors.
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-in-vlc - 安装完成后,直接呼叫该 Skill 的名称或使用
/trimmer-in-vlc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
Initial release: Trimmer in VLC — AI-powered video trimming and export.
- Upload MP4 or other common video formats (up to 500MB), describe edits, and get back a ready-to-download clip in 1080p.
- Handles trimming, cutting, text overlays, audio tracks, and batch processing via simple text commands—no timeline, no manual export settings.
- Streamlined cloud pipeline: automatic token/session handling, job status updates, export URLs, and credit management included.
- Clear instructions and example prompts to get started quickly.
- Built-in error handling for file type, size, token/session, and credits.
元数据
常见问题
Trimmer In Vlc 是什么?
Turn a 10-minute MP4 recording with unwanted sections into 1080p trimmed video clips just by typing what you need. Whether it's cutting and trimming video cl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。
如何安装 Trimmer In Vlc?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-in-vlc」即可一键安装,无需额外配置。
Trimmer In Vlc 是免费的吗?
是的,Trimmer In Vlc 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Trimmer In Vlc 支持哪些平台?
Trimmer In Vlc 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 In Vlc?
由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。
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