aaaaqwq/agi-super-team/article-material-collect

1. 主题/关键词 → 用来搜索的query（可以是中英文多个）
2. 文章关联 → 对应哪篇文章（日期+slug），决定保存路径
3. 信息源 → 从哪些平台收集（建议：DEV + GitHub + Reddit + Medium，跳过 X/知乎除非已登录）

素材收集确认（v2.1）：
- 主题：{query}
- 关联文章：{date}/{slug}
- 保存位置：{output_dir}/素材/
- 信息源：{platforms}
- 浏览器策略：公开页面 → Playwright / 需登录 → OpenClaw Browser

node ~/.openclaw/skills/brave-search/search.js "Claude Code vs Codex comparison 2026" -n 10 --content

import asyncio
from playwright.async_api import async_playwright
async def collect_material(url: str, output_path: str, wait_s: int = 8) -> dict:
    """采集公开页面素材"""
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page(
            viewport={"width": 1400, "height": 900},
            user_agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36"
        )
        try:
            await page.goto(url, timeout=25000, wait_until="networkidle")
            await asyncio.sleep(wait_s)
            await page.screenshot(path=output_path, full_page=True)
            size = os.path.getsize(output_path)
            return {"status": "ok", "size": size, "path": output_path}
        except Exception as e:
            return {"status": "error", "error": str(e)}
        finally:
            await browser.close()

# 检查登录状态
browser(action="status", profile="openclaw")
# 如果 running=true → 已登录，继续
# 如果 running=false → 未登录 → 跳过该平台

# 打开页面
browser(action="open", profile="openclaw", targetUrl="https://...")
 
# 等待加载（X/知乎需要更长等待）
browser(action="act", targetId="xxx", request={"kind": "wait", "timeMs": 12000})
 
# 截图
browser(action="screenshot", profile="openclaw", targetId="xxx", type="png")

# 1. 文件大小 ≥ 50KB
size=$(stat -c%s "$path")
if [ $size -lt 51200 ]; then
    echo "FAIL: 文件太小 (${size}B < 50KB)，重试"
    # 重试：增加等待时间 +5s
fi
 
# 2. 非空白图片
python3 -c "
from PIL import Image; import numpy as np
img = np.array(Image.open('$path'))
if img.mean() > 250:
    print('FAIL: blank image')
else:
    print('OK')
"
 
# 3. 内容相关性（目测检查截图是否包含目标关键词）

{OUTPUT_DIR}/素材/
├── README.md              ← 素材索引（必须）
├── dev-community/         ← DEV 文章截图
│   └── *.png
├── github/                ← GitHub 项目截图
│   └── *.png
├── reddit/                ← Reddit 帖子截图
│   └── *.png
├── medium/                ← Medium 文章截图
│   └── *.png
├── x/                     ← X 推文截图（仅登录成功时）
│   └── *.png
└── failed/                 ← 截图失败的记录
    └── README.md

# 素材索引 — {topic}
## 采集时间: {YYYY-MM-DD HH:MM}
## 采集工具: Playwright (公开页) + OpenClaw Browser (需登录页)
 
| 平台 | 标题 | URL | 文件 | 大小 | 状态 |
|------|------|-----|------|------|------|
| DEV | Claude Code vs Codex | https://dev.to/... | dev-xxx.png | 240KB | ✅ |
| Reddit | 500+ developers | https://reddit.com/r/... | reddit-xxx.png | 85KB | ✅ |
| X | @user analysis | - | - | - | ❌ 未登录跳过 |
| Google | - | - | - | - | ℹ️ 仅记录数量 |
 
统计: 有效截图 {n} 张 / 总计划 {n} 张
跳过: {platforms}（原因：{reasons}）

调用 article-material-collect v2.1:
  topic: "Claude vs Codex 对比"
  query_zh: "Claude Code Codex 对比 评测 2026"
  query_en: "Claude Code vs Codex comparison 2026"
  article: "2026-04-16/claude-vs-codex"
  sources: [dev-community, github, reddit, medium]  ← 推荐：跳过 X/知乎除非已登录
  output_dir: ~/clawd/projects/MediaClaw/output/articles/2026-04-16/claude-vs-codex/素材/