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在 OpenClaw 中安装
/install image-collector
功能描述
AI 科技日报图片采集工具，从官方来源自动采集新闻配图，支持水印检测、质量检查和关联性验证
使用说明 (SKILL.md)
image-collector Skill
功能概述
自动为 AI 科技日报新闻采集配图，确保：
- ✅ 图片与内容强关联 — 优先从官方来源采集
- ✅ 无水印 — 自动检测并过滤带水印图片
- ✅ 高质量 — 分辨率≥800x600，无明显压缩
- ✅ 不随意贴图 — 关联性验证，拒绝随机图片
快速开始
# 检查依赖
bash ~/.openclaw/workspace/skills/image-collector/scripts/check-deps.sh
基本用法
# 为单条新闻采集配图
python3 ~/.openclaw/workspace/skills/image-collector/scripts/collect_images.py \
--news "苹果国行 AI 凌晨偷跑" \
--keywords "Apple,Intelligence,Baidu" \
--source "apple.com"
图片来源优先级
| 优先级 | 来源类型 | 示例域名 |
|---|---|---|
| P0 | 官方新闻稿 | apple.com, microsoft.com, openai.com |
| P1 | 权威媒体 | 36kr.com, bloomberg.com, reuters.com |
| P2 | 产品截图 | 手动截取（使用 web-access skill） |
| P3 | 自制图表 | Python matplotlib / Excel |
| 禁用 | 随机图片 | unsplash.com, pixabay.com |
| 禁用 | 微信图片 | mmbiz.qpic.cn |
验证流程
- 来源验证 → 只从白名单来源采集
- 水印检测 → 四角 + 底部检测，过滤带水印图片
- 质量检查 → 分辨率≥800x600，宽高比正常
- 关联性验证 → 文件名关键词匹配评分
- ✅ 最终输出 → 优化后的图片
配合 web-access skill
当自动采集失败时：
# 1. 用 web-access 打开官网截图
curl -s "http://localhost:3456/new?url=https://www.apple.com/newsroom"
# 2. 截图后手动保存到 article-images/
# 3. 用 image-collector 优化
python3 collect_images.py --optimize /tmp/screenshot.png
验证标准
1. 关联性验证
- 图片主题与新闻标题匹配
- 图片中包含新闻关键词
- 图片来源与新闻主体相关
2. 水印检查
- 四角无 Logo 水印
- 底部无公众号名称
- 无明显版权标识
3. 质量检查
- 分辨率 ≥ 800x600
- 无明显压缩痕迹
- 色彩正常
作者
九万
安全使用建议
This skill appears coherent for automated image collection: it will make outbound HTTP requests and save downloaded images under /home/node/.openclaw/workspace/article-images. Before running it, review the full collect_images.py (the provided content was truncated in the listing) to confirm there are no unexpected network endpoints or commands. If you care about privacy or network egress, run it in a sandboxed environment or inspect/limit allowed domains. Also review the hardcoded lists of example image URLs and the use of the jina.ai proxy search URL (r.jina.ai) if you do not want search queries routed through third-party proxies.
功能分析
Type: OpenClaw Skill
Name: image-collector
Version: 1.0.0
The image-collector skill is a legitimate tool designed to automate the gathering and processing of news images from official sources. It includes scripts for dependency checking (check-deps.sh), heuristic-based watermark and quality detection (collect_images.py), and direct downloading from a whitelist of official URLs (collect_simple.py). The code uses standard libraries like Pillow and requests and follows the stated purpose without any evidence of data exfiltration, malicious execution, or prompt injection. The use of r.jina.ai as a search proxy is a common pattern for AI agents to parse web content.
能力评估
Purpose & Capability
Name/description (image collection, watermark/quality/relevance checks) align with the provided scripts and README. The code implements search/download, watermark/quality checks, and local optimization; required Python packages (Pillow, requests) are consistent with the task.
Instruction Scope
SKILL.md instructs running the included scripts and (optionally) calling a local web-access service for screenshots. The scripts perform HTTP requests to external sites, download image bytes, and write them to the workspace /home/node/.openclaw/workspace/article-images. This behavior is expected for an image collection tool but means network I/O and filesystem writes will occur; the skill does not attempt to read unrelated system files or environment secrets.
Install Mechanism
No install spec; code is shipped as plain Python scripts. No remote installers or archive downloads are used. Dependencies are standard Python packages (Pillow, requests) and a simple shell dependency check script.
Credentials
The skill requests no environment variables or credentials. The scripts do set and use a fixed workspace path for output but do not require secret access tokens. External network requests are limited to image/search endpoints and hardcoded example URLs.
Persistence & Privilege
Skill is not always-enabled and does not request elevated platform privileges. It writes files into its own workspace directory and does not modify other skills or global agent configuration.
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 image-collector - 安装完成后，直接呼叫该 Skill 的名称或使用
/image-collector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
image-collector 1.0.0
- 首次发布，自动采集 AI 科技日报新闻配图
- 实现从官方权威来源获取图片，自动检测水印并过滤
- 支持图片质量检查，分辨率≥800x600
- 提供图片与新闻内容的强关联性验证
- 附带用法示例与依赖检查脚本
- 支持与 web-access skill 联合使用
元数据
常见问题
image-collector 是什么？
AI 科技日报图片采集工具，从官方来源自动采集新闻配图，支持水印检测、质量检查和关联性验证. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。
如何安装 image-collector？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install image-collector」即可一键安装，无需额外配置。
image-collector 是免费的吗？
是的，image-collector 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
image-collector 支持哪些平台？
image-collector 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 image-collector？
由 luna（@lunadelo）开发并维护，当前版本 v1.0.0。
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