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Natural Language Video Search
作者
Soham Rajadhyaksha
· GitHub ↗
· v0.2.3
· MIT-0
267
总下载
7
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install natural-language-video-search
功能描述
Semantic search over video files using Gemini embeddings. Index dashcam, security camera, or any mp4 footage, then search with natural language queries to fi...
安全使用建议
This skill appears coherent for its stated purpose, but take these precautions before installing: 1) Review the GitHub repository (https://github.com/ssrajadh/sentrysearch) before running 'git clone'/'uv sync' so you know what code and dependencies will be installed. 2) Be aware that indexing sends video chunks to Google Gemini — do not use with sensitive private footage unless you accept that it will be transmitted to an external service and may be stored/processed by that provider. 3) The GEMINI_API_KEY grants the skill the ability to call the external API and will incur costs; consider using a scoped or billing-limited key and monitor usage. 4) Run installation and indexing in a controlled environment (isolated VM or container) if you have concerns about executing unreviewed code. 5) If you only want local-only processing, confirm the repo does not send data to any endpoints other than Gemini and that preprocessing is acceptable for your privacy needs.
能力评估
Purpose & Capability
Name/description (semantic search over video using Gemini embeddings) match what the skill asks for: GEMINI_API_KEY is the primary credential, ffmpeg is needed for trimming/preprocessing, python3 and the 'uv' tool are required to install/run the repo. Required binaries and env var are expected for the stated functionality.
Instruction Scope
SKILL.md instructs the agent/user to git clone the GitHub repo and run 'uv sync', then run the sentrysearch CLI which splits video into chunks, pre-processes them, and sends raw video chunks to Gemini Embedding 2. The instructions are scoped to the job (index/search/trim/overlay). Important behavioral detail: chunks of video (potentially sensitive footage) are sent to an external API (Gemini), which is necessary for embeddings but is a privacy/billing consideration.
Install Mechanism
There is no registry install spec; the SKILL.md instructs cloning https://github.com/ssrajadh/sentrysearch.git and running 'uv sync' which will fetch and install code/dependencies from that repository. This is a standard but higher-risk install pattern than instruction-only: the user/agent will pull and execute code from the remote repository, so the repo contents should be reviewed before running.
Credentials
Only GEMINI_API_KEY is required and is appropriate for a skill that calls Gemini embeddings. Note: the API key enables outbound uploads of video to an external service and could incur cost and privacy exposure; the SKILL.md warns about cost and validates the key via a test embedding.
Persistence & Privilege
Skill is not always-on and does not request system-wide config paths. The CLI writes a local .env when run (expected behavior). Autonomous invocation is allowed by default (platform normal) but not combined with other high-risk flags 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 natural-language-video-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/natural-language-video-search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
v0.2.3
Added local model support, Tesla metadata overlay, similarity threshold, switched to uv
v0.2.2
Added local model support, Tesla metadata overlay, similarity threshold, switched to uv
v0.2.1
Added local model support, Tesla metadata overlay, similarity threshold, switched to uv
v0.2.0
Added local model support, Tesla metadata overlay, similarity threshold, switched to uv
v0.1.0
Initial release: semantic video search powered by Gemini Embedding 2
元数据
常见问题
Natural Language Video Search 是什么？
Semantic search over video files using Gemini embeddings. Index dashcam, security camera, or any mp4 footage, then search with natural language queries to fi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 267 次。
如何安装 Natural Language Video Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install natural-language-video-search」即可一键安装，无需额外配置。
Natural Language Video Search 是免费的吗？
是的，Natural Language Video Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Natural Language Video Search 支持哪些平台？
Natural Language Video Search 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 Natural Language Video Search？
由 Soham Rajadhyaksha（@ssrajadh）开发并维护，当前版本 v0.2.3。
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