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mumu-0922

Smart Image Search

作者 mumu · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
408
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1
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当前安装
1
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在 OpenClaw 中安装
/install smart-image-search
功能描述
Search images from text queries and return the most relevant image result, candidate images, source pages, or ready-to-open search links. Use when the user a...
安全使用建议
This skill scrapes Bing, Baidu, and Sogou, ranks results, and downloads selected images to a local directory (/home/mumu/clawd/tmp/search-image). Before installing, consider: (1) privacy and data policy—downloads come from arbitrary external URLs and could contain inappropriate content or copyrighted material; (2) disk usage and filesystem access—the scripts create files in a hard-coded path (adjust or sandbox that path if needed); (3) network usage—scraping may trigger service blocks (the code already handles Baidu verification); (4) trust and licensing—ensure you are comfortable with the agent fetching and sending remote images. If you need stricter boundaries, require the skill not to auto-download (only return links) or change the output path to a safer, configurable location.
功能分析
Type: OpenClaw Skill Name: smart-image-search Version: 0.1.0 The smart-image-search skill bundle is a well-structured tool designed to aggregate, rank, and download images from multiple search engines (Bing, Baidu, Sogou). The core logic in scripts like search_best_image.py and fetch_best_image.py implements sophisticated relevance scoring, intent detection (e.g., official logos vs. memes), and image quality validation (checking dimensions and file headers). While the skill performs network requests and writes files to a local directory (/home/mumu/clawd/tmp/search-image), these actions are strictly necessary for its stated purpose. The code includes input sanitization for filenames and uses standard libraries for all operations, with no evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
Name/description match the included code and docs: multiple-engine scraping, ranking, quality checks, and optional downloading. Required resources (none) are appropriate for an instruction + script bundle.
Instruction Scope
SKILL.md and scripts explicitly instruct the agent to search multiple engines, rank results, and download/send images. This is within scope, but the skill will write downloaded images to a local path and expects the agent to attach/send files—users should be aware that the agent will fetch external URLs and save files locally.
Install Mechanism
No install step and no external packages or downloads are requested. All behavior is in plain Python scripts (no download-from-URL installers), which is low-risk for installation.
Credentials
The skill requires no environment variables or credentials. However, it uses a hard-coded output directory (/home/mumu/clawd/tmp/search-image) which assumes a particular filesystem layout and will create files there; this is plausible for the stated purpose but worth noting.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges or modify other skills. It runs when invoked and writes only to its own hard-coded directory.
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 smart-image-search
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /smart-image-search 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
v0.1.0
Initial release of smart-image-search (search-image): searches multiple engines and returns the most relevant images with advanced filtering and intent detection. - Uses Bing Images, Baidu Images, and Sogou Images with multi-engine, relevance-ranked search. - Supports natural-language parameters (e.g., count, intent, quality, orientation) in queries. - Detects search intent (meme, official, avatar, wallpaper, portrait) and applies intent-specific ranking. - Downloads and sends the best match as an attachment; provides multiple candidates or search links if confidence is low. - Enforces quality and entity consistency checks to avoid irrelevant or low-quality results. - Includes robust fallback and output rules to maximize useful results even when direct image sending fails.
元数据
Slug smart-image-search
版本 0.1.0
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

Smart Image Search 是什么?

Search images from text queries and return the most relevant image result, candidate images, source pages, or ready-to-open search links. Use when the user a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 408 次。

如何安装 Smart Image Search?

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

Smart Image Search 是免费的吗?

是的,Smart Image Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Smart Image Search 支持哪些平台?

Smart Image 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 Smart Image Search?

由 mumu(@mumu-0922)开发并维护,当前版本 v0.1.0。

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