launch-window-planner
Use when the user asks to "pick a launch date", "plan the launch window", or "set the embargo and lift time"; produces a candidate-window comparison table (conflict / tailwind / risk per window) built from industry-event cycles and the competitor launch calendar, a launch-week vs rolling-release format call, store-review buffer padding (labeled Estimated), and an embargo window definition (lift moment + timezone) submitted to the launch registry as a candidate. Not for judging the cultural moment itself — use trend-spotter; not for launch-day execution — use launch-day-conductor. 发布择时/发布窗口/竞品日历/禁运期窗口/审核缓冲
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
Yes—this workflow pulls outsider-authored free text via runtime connectors (e.g., `scripts/connectors/gdelt.py`, `scripts/connectors/producthunt.py`, `scripts/connectors/hn.py`) and/or user-pasted data into the agent’s context, and those text payloads are then used to build the competitor/event/risk tables (prompt-injection risk despite “treat as untrusted input”).
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Commit
4a77c48
- Audited
- Security analysis
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