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Seek And Analyze Video
作者
Alireza Rezvani
· GitHub ↗
· v2.1.1
· MIT-0
324
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install seek-and-analyze-video
功能描述
Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, sum...
安全使用建议
This skill appears to do what it says (video discovery and analysis via Memories.ai), but before installing: (1) be aware the SKILL.md and example script require MEMORIES_API_KEY — the registry metadata does not declare this; only set a key you trust and understand that video content (including local recordings) will be sent to Memories.ai; (2) SKILL.md tells the agent to read marketing-context.md if present — confirm that file does not contain secrets you don't want read or transmitted; (3) the 'full' workflow points to an external GitHub repo for the real implementation — inspect that repo before cloning or running any code; (4) ask the skill author to fix the registry metadata to list MEMORIES_API_KEY as a required env var and to explicitly declare any config paths (like marketing-context.md) so you can make an informed decision. If you need higher assurance, request the full implementation code (or a package with an install spec) and a privacy/data-flow description of what is uploaded to Memories.ai.
功能分析
Type: OpenClaw Skill
Name: seek-and-analyze-video
Version: 2.1.1
The skill bundle provides a comprehensive framework for video intelligence and social media analysis using the Memories.ai API. It includes well-documented instructions for the AI agent (SKILL.md), a reference for API commands (api-commands.md), and a Python demonstration script (example-workflow.py). The code and instructions are entirely consistent with the stated purpose of video research and knowledge base management, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The skill's name, description, SKILL.md, and example code consistently describe video discovery and analysis via Memories.ai LVMM — that capability is coherent. However, the registry metadata lists no required environment variables while SKILL.md and example_workflow.py explicitly require MEMORIES_API_KEY. This mismatch between claimed requirements and actual instructions is an inconsistency.
Instruction Scope
SKILL.md instructs the agent to (a) read marketing-context.md if present, (b) import local meeting recordings (e.g., internal_recording.mp4) in some examples, and (c) send video content to the Memories.ai service. Reading marketing-context.md (an unspecified local file) and importing local recordings are outside the skill's declared config paths and could expose local data if used — the file access is not declared in metadata and should be made explicit. The SKILL.md also instructs cloning an external GitHub repo for the 'full' flow, which expands runtime behavior beyond the packaged instructions.
Install Mechanism
There is no install spec (instruction-only skill) and an included example script is demo-only. That low-install footprint reduces immediate risk. Note: the example's full-mode tells users to clone an external GitHub repo for the real implementation; that external code is not reviewed here and should be inspected before cloning/executing.
Credentials
The skill clearly needs a MEMORIES_API_KEY (SKILL.md and example code). The registry metadata claims no required environment variables, so the key is undeclared in the registry. Requesting an API key for the third-party Memories.ai service is reasonable for the stated purpose, but the lack of declaration is an inconsistency that could mislead users. Also consider privacy: providing the key grants the skill the ability to send video content (including internal recordings) to the Memories.ai service — ensure the user understands exposure of potentially sensitive data.
Persistence & Privilege
The skill does not request persistent 'always' inclusion and allows standard autonomous invocation. There is no evidence it attempts to modify other skills or system-wide settings. Example flows reference creating persistent indexed videos/memories on the Memories.ai service (expected for the use case).
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 seek-and-analyze-video - 安装完成后，直接呼叫该 Skill 的名称或使用
/seek-and-analyze-video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
v2.1.1
v2.1.1: optimization, reference splits
元数据
常见问题
Seek And Analyze Video 是什么？
Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, sum... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 324 次。
如何安装 Seek And Analyze Video？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install seek-and-analyze-video」即可一键安装，无需额外配置。
Seek And Analyze Video 是免费的吗？
是的，Seek And Analyze Video 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Seek And Analyze Video 支持哪些平台？
Seek And Analyze Video 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 Seek And Analyze Video？
由 Alireza Rezvani（@alirezarezvani）开发并维护，当前版本 v2.1.1。
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