Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.
58
72%
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High
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tessl review fix ./skills/last30days/SKILL.mdSecurity
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 skill explicitly instructs the agent to ask users to paste API keys/tokens and to write them into ~/.config/last30days/.env or include them in setup commands, which requires the LLM to receive and potentially emit secret values verbatim (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 required runtime workflow runs a web-enabled research engine and then appends/uses fetched outsider-authored content (public web pages plus platform posts/comments like Reddit/X/YouTube/TikTok) that become readable prose in the agent’s context via the engine’s stdout and saved raw file (e.g., Step 1 “Read the ENTIRE output” and Step 2.5 “Append WebSearch Results to Saved Raw File” → subsequent synthesis).
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