Lists multiple specific concrete actions: verify claims against primary sources, spawn parallel verification agents, use WebFetch/WebSearch/gh tools, produce VERIFIED/REFUTED/INCONCLUSIVE verdicts with citations. Very detailed about the mechanism and outputs.

Clearly answers both 'what' (verify claims using web lookups, spawn parallel agents, produce verdicts with citations) and 'when' (explicit triggers: 'fact check', 'verify claims', 'check against primary sources', or when items are marked UNVERIFIED).

Includes natural trigger terms users would say: 'fact check', 'verify claims', 'check against primary sources', and the contextual trigger 'UNVERIFIED'. These are terms users would naturally use when needing this capability.

Highly distinctive niche — fact-checking and claim verification against primary sources is a very specific function unlikely to overlap with other skills. The explicit mention of verification verdicts (VERIFIED/REFUTED/INCONCLUSIVE) and the rejection of training data recall further distinguish it.

The skill is reasonably well-structured but includes some content that could be tightened — the mermaid diagrams add visual bulk without much value for Claude (who processes text), and some sections like 'When NOT to Use' and the evidence rules could be more compact. The CoVe section explains a concept Claude likely understands. However, most content is instructional rather than explanatory.

The skill provides structured templates (verdict format, agent prompt, report format) and specific post-action commands, which is good. However, the core verification process relies on spawning '@fact-checker' agents without explaining how to actually invoke them (what tool/command?), the claim extraction is described abstractly rather than with concrete examples, and there's no executable code — just text templates and flowcharts. The 'backlog list --format json' command is referenced but not fully specified.

The multi-step workflow is clearly sequenced: extract claims → classify → spawn agents in waves → collect verdicts → generate report → post-actions. The CoVe requirement adds an explicit validation/cross-checking loop within each verification. The wave execution pattern handles different claim counts. Post-actions include linting and committing with specific commands. The verdict criteria provide clear decision boundaries.

The skill references four external skills in the References section with relative paths, providing some progressive disclosure. However, no bundle files exist to support these references, and the skill itself is quite long (~150 lines of substantive content) with sections like the evidence rules and CoVe explanation that could potentially be extracted to reference files. The mermaid diagrams inline add length that could be separate.