Names the domain (news monitoring, prediction markets) and implies actions (monitor, correlate), but lacks concrete specific actions like 'fetch headlines', 'track price changes', 'generate alerts', or 'analyze sentiment'.

Describes what it does at a high level but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing explicit trigger guidance caps this at 2, but the 'what' is also weak, warranting a 1.

Includes relevant terms like 'news', 'prediction market', and 'movements', but misses common variations users might say such as 'Polymarket', 'Metaculus', 'forecasting', 'odds', 'betting markets', or 'market prices'.

The combination of 'news' and 'prediction market' creates a somewhat specific niche, but 'monitor news' alone could overlap with general news aggregation skills, and 'correlate' is vague enough to conflict with data analysis skills.

The skill is lean and efficient, presenting commands, sources, and examples without explaining what news is or how prediction markets work. Every section adds actionable value.

Commands are clearly shown and output format is well-defined, but the actual implementation is missing - no code for fetching news, correlating with markets, or creating alerts. It describes what should happen rather than how to do it.

The examples show user queries and expected responses, but there's no clear workflow for how to actually fetch news, match it to markets, or track price impacts. The auto-matching and correlation features are described conceptually without implementation steps.

For a skill of this size, the content is well-organized into logical sections (Commands, Sources, Features, Examples, Output Format) with clear headers. No unnecessary nesting or external references needed.