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Video Compressore Parkside
作者
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
63
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-compressore-parkside
功能描述
Get compressed MP4 files ready to post, without touching a single slider. Upload your large video files (MP4, MOV, AVI, MKV, up to 500MB), say something like...
安全使用建议
This skill will upload whatever video files you send to https://mega-api-prod.nemovideo.ai for cloud processing and expects a NEMO_TOKEN (but can also auto-request an anonymous token). Before installing or using it: 1) Do not provide a long-lived or production NEMO_TOKEN unless you trust the backend — use a disposable/test token if possible. 2) Confirm the backend domain and provider reputation (mega-api-prod.nemovideo.ai) and check privacy/storage/retention policies for uploaded videos. 3) Ask the skill author to clarify the inconsistent metadata (the frontmatter lists ~/.config/nemovideo/ while the registry lists no config paths) and whether the skill will inspect local install paths to derive headers. 4) If you need stronger assurance, request an auditable code path or a provider homepage/terms of service; avoid sending sensitive or private footage until you verify the service.
功能分析
Type: OpenClaw Skill
Name: video-compressore-parkside
Version: 1.0.0
The skill is a functional wrapper for a cloud-based video processing service (nemovideo.ai). It manages authentication by retrieving or generating a NEMO_TOKEN and facilitates video uploads and compression tasks via standard REST API calls. The instructions in SKILL.md are strictly aligned with the stated purpose of video editing and do not contain evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The skill claims to perform cloud video compression and all network endpoints and API actions in SKILL.md align with that purpose. Requesting a NEMO_TOKEN for backend authorization is coherent. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata says no config paths are required — this discrepancy is unexplained.
Instruction Scope
Instructions only instruct API calls to mega-api-prod.nemovideo.ai, SSE handling, uploads, polling and download — all expected for a cloud render service. They do tell the agent to derive an X-Skill-Platform header by inspecting install paths (e.g. ~/.clawhub/, ~/.cursor/skills/) which implies reading local install paths; that is marginal scope creep but not obviously malicious. The skill will upload user video files to the specified third-party domain, which is necessary for cloud processing but has privacy implications.
Install Mechanism
This is an instruction-only skill with no install spec or code files. That lowers disk-write risk; nothing is downloaded or installed by the skill itself.
Credentials
Registry declares NEMO_TOKEN as a required primary credential which fits a cloud API integration. But SKILL.md also describes an automatic anonymous-token acquisition flow (POST to /api/auth/anonymous-token) when NEMO_TOKEN isn't present, meaning the skill can obtain and use tokens itself. Also the frontmatter mentions a config path (~/.config/nemovideo/) that the registry did not list as required. These inconsistencies about how credentials and local config are used are concerning and should be clarified before providing secrets.
Persistence & Privilege
always:false and no install behavior is requested. The skill does not ask to modify other skills or system-wide settings. Autonomous invocation is allowed but is the platform default and not in itself a red flag 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 video-compressore-parkside - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-compressore-parkside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 of Video Compressor Parkside.
- Easily compress large video files (MP4, MOV, AVI, MKV up to 500MB) to smaller, high-quality 1080p MP4 for fast download and sharing.
- Simple setup with automatic cloud connection and token generation (100 free credits).
- Supports natural language instructions for compression—no manual slider adjustment needed.
- Handles common video workflows: quick edit, batch processing, and iterative refinement.
- Provides clear feedback and error messages during the upload, compression, and export process.
元数据
常见问题
Video Compressore Parkside 是什么？
Get compressed MP4 files ready to post, without touching a single slider. Upload your large video files (MP4, MOV, AVI, MKV, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 Video Compressore Parkside？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-compressore-parkside」即可一键安装，无需额外配置。
Video Compressore Parkside 是免费的吗？
是的，Video Compressore Parkside 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Compressore Parkside 支持哪些平台？
Video Compressore Parkside 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 Compressore Parkside？
由 whitejohnk-26（@whitejohnk-26）开发并维护，当前版本 v1.0.0。
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