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
89%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
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).
3b9c83d
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.