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tk8544-b

Video Editor Filters

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
78
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editor-filters
功能描述
Skip the learning curve of professional editing software. Describe what you want — apply a cinematic color grade filter and smooth skin tone across the whole...
安全使用建议
This skill sends any uploaded videos and edit instructions to an external service (https://mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN (or obtains an anonymous one) to authenticate. That behaviour is consistent with a cloud video-processing tool but has privacy implications: do not upload sensitive footage you wouldn’t want sent to a third party. Note the SKILL.md references a config directory (~/.config/nemovideo/) that is not listed in the registry metadata — ask the publisher whether the skill will read that directory or other local files. If you proceed, consider: (1) only grant NEMO_TOKEN if you trust Nemovideo's service and privacy policy, (2) revoke tokens/credits from the service if you stop using the skill, and (3) avoid uploading confidential media. The metadata mismatch lowers confidence slightly — request clarification from the skill owner before installing.
功能分析
Type: OpenClaw Skill Name: video-editor-filters Version: 1.0.0 The skill facilitates AI-driven video editing by interfacing with the nemovideo.ai backend, as detailed in SKILL.md. It includes logic for automated authentication via anonymous tokens, session creation, and a cloud-based rendering pipeline for processing video uploads. While it performs basic environment fingerprinting to identify the host platform (e.g., checking for ~/.clawhub/ or ~/.cursor/skills/ for attribution headers), its behaviors are consistent with its described functionality and do not exhibit signs of malicious intent, unauthorized data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The skill claims to apply AI filters and export videos and its instructions call the nemo video API endpoints for uploads, rendering, credits, and state; requiring a NEMO_TOKEN is coherent. However, the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch should be clarified (does the skill need access to that config dir?).
Instruction Scope
Instructions are narrowly focused on authenticating (using NEMO_TOKEN or anonymously obtaining one), creating a session, uploading video files, driving SSE-based edits, polling render status, and returning a download URL. These actions are consistent with the described video-processing purpose. The skill does instruct the agent to read its own frontmatter and detect install paths to populate attribution headers — that requires filesystem access to the skill file and (optionally) probing common install directories, which is expected but should be noted.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written by an installer. That reduces risk compared to skills that fetch/extract remote archives.
Credentials
Only one credential is declared (NEMO_TOKEN) which fits a cloud video-processing backend. The SKILL.md will automatically obtain an anonymous token if none is present (by POSTing to the external API). The frontmatter's mention of a config path (~/.config/nemovideo/) is not reflected in the registry metadata — clarify whether the skill expects to read that directory (which could contain credentials or preferences).
Persistence & Privilege
always:false and normal autonomous invocation. The skill stores a session_id and will retain/use an obtained token for requests; tokens are described as short-lived (anonymous token valid 7 days). This is proportional to the task but you should be aware the session/token will be stored and used for subsequent 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-editor-filters
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-editor-filters 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
Initial release: Effortless video filter application and AI-powered video editing. - Upload MP4, MOV, AVI, or WebM files up to 500MB and describe the desired filters and effects. - Automatic backend handles AI filter application, color grading, skin smoothing, and exports polished clips in 30–90 seconds. - Session and authentication managed seamlessly, with 100 free credits for new users (token valid 7 days). - Supports common video tasks: color grading, style filters, text overlays, audio tracks, and easy export to MP4 and more. - Error handling and user feedback integrated for issues like unsupported files, expired tokens, or missing subscription.
元数据
Slug video-editor-filters
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 Editor Filters 是什么?

Skip the learning curve of professional editing software. Describe what you want — apply a cinematic color grade filter and smooth skin tone across the whole... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 78 次。

如何安装 Video Editor Filters?

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

Video Editor Filters 是免费的吗?

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

Video Editor Filters 支持哪些平台?

Video Editor Filters 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 Editor Filters?

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

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