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db-ai-github-paper-weekly-news

抓取并汇总"数据库、AI、GitHub、AI 论文"近 1 周新闻,输出图文并茂(含 mermaid 图)的 markdown 周报到当前项目的 markdown/ 目录。覆盖 10 个数据源:postgresweekly.com/issues(自动解析最新 issue 编号)、planet.postgresql.org、planet.postgis.net、postgresql.org/about/newsarchive/、git.postgresql.org shortlog、duckdb.org/news/、aibase.com/zh、ai-bot.cn/daily-ai-news、github.com/trending?since=weekly、huggingface.co/papers/trending。适用于:用户提出"生成周报"、"本周数据库+AI+GitHub+论文快讯"、"跑一次 db-ai-weekly"、"weekly news"等需求。

72

Quality

89%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

Yes—Step 2/3 requires fetching outsider-authored web/RSS/HTML content from multiple public URLs (e.g., `planet.postgresql.org`, `aibase.com`, `ai-bot.cn`, `github.com/trending`, `huggingface.co/papers/trending`, plus dynamic `postgresweekly.com/issues/<N>`), and that fetched free-form text is ingested by the agent/Claude into the LLM context to extract `title/summary/items` (indirect prompt-injection risk from arbitrary page content).

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Repository
digoal/blog
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Security analysis
Snyk

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