Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.
68
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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 skill shows using the YouTube API key as a shell argument (e.g., python3 analyze.py "$YOUTUBE_API_KEY"), which encourages passing secrets on the command line and could cause the LLM or user to include the secret verbatim in generated commands or outputs.
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.
Outsider-authored free text from YouTube (e.g., each video’s `snippet.title`) is fetched at runtime via the YouTube Data API in `get_recent_videos()`/`api_get()` and then used to build in-memory plaintext fields (e.g., `entry["title"]`) that are printed/serialized to JSON, meaning it can be ingested into the agent’s LLM context when the skill returns console/JSON output.
2eb0f34
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