trend-spotter
Use when the user asks to "find trending topics", "what trends should my brand jump on", or "time a campaign around a cultural moment"; produces a ranked trend report with brand-fit scores, format calls (rising/peak/declining), a cultural calendar, and go/skip recommendations. Not for finding the creators to run those trends — use influencer-discovery; not for building the brand posting calendar from a go verdict — use social-calendar-builder. 热点趋势洞察/借势营销
72
92%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The required workflow can fetch public RSS/Atom feeds (Google Trends, Hacker News, Reddit, YouTube) at runtime and ingest their untrusted `title`/`summary` text into the agent’s reasoning via the `rss_monitor.py` output, which is then used to populate the LLM-visible trend tables/reports (indirect prompt-injection risk).
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Commit
4a77c48
- Audited
- Security analysis
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