Conversational writing topic discovery. Combines personal context (journals, notes, past writing), optional Signal DB intelligence, and web research to surface timely, authentic topic ideas for any writing format.
90
90%
Does it follow best practices?
Impact
—
Average score across 4 eval scenarios
High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The prompt tells the agent to read an auth token from EXTEND.md/.env or the environment and insert it verbatim into curl Authorization headers, which requires the LLM to handle and output secret values directly (high exfiltration risk).
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.
The skill's required workflow (SKILL.md Step 4 "Scan the Landscape" and Step 6d "WebFetch") explicitly performs targeted web searches and fetches top-ranking articles from public sites (X/Twitter, Reddit, Hacker News, YouTube, general web), and Step 2 can query a Signal DB that ingests public sources, so the agent reads untrusted, user-generated third‑party content which can change its subsequent recommendations.