Lists multiple specific concrete actions: catching hallucinated authors, wrong years, fabricated venues, version mismatches, wrong-context citations, and verifying bibliographic entries are real and correctly attributed. Very detailed about what it does.

Clearly answers both 'what' (zero-context verification of bibliographic entries, catching hallucinated authors, wrong years, etc.) and 'when' (explicit 'Use when...' clause with specific trigger phrases and the contextual trigger of pre-submission review).

Includes excellent natural trigger terms in both English and Chinese: '审查引用', 'check citations', 'citation audit', 'verify references', '引用核对', plus contextual trigger 'before submission'. These are terms users would naturally say.

Highly distinctive niche focused specifically on bibliographic/citation verification in academic papers. The specific focus on hallucinated references, cross-model review with DBLP/arXiv lookup, and bilingual trigger terms make it very unlikely to conflict with other skills.

The skill is extremely verbose at ~400+ lines. It over-explains opt-in uncited detection with multiple redundant sections (rationale, fallback, effect, when appropriate), repeats the same JSON schema fragments multiple times, and includes extensive prose that Claude does not need (e.g., explaining why opt-in is opt-in, lengthy comparison tables, known limitations that are common sense for an LLM). The uncited entry detection alone has ~5 separate sections restating the same constraints.

The skill provides fully concrete, executable guidance: specific MCP invocation syntax with prompt templates, exact shell commands for recompilation, complete JSON schema for output artifacts, explicit file paths, and copy-paste-ready markdown report templates. Every step has specific, actionable instructions rather than vague descriptions.

The 7-step workflow is clearly sequenced with explicit validation checkpoints (Step 7 recompile-and-verify, Step 6 interactive approval for destructive changes). There are feedback loops (fix and re-validate), clear gating (REPLACE/REMOVE require human approval), and a well-defined verdict decision table that maps states to outcomes. The workflow handles error cases (bib unreadable, reviewer failure) with explicit fallback paths.

The skill references external files (shared-references/review-tracing.md, shared-references/assurance-contract.md, shared-references/reviewer-independence.md, shared-references/citation-discipline.md) and sibling skills appropriately, but the body itself is monolithic — the uncited entry detection protocol, submission artifact emission, and verdict decision table could all be in separate reference files. The inline content is far too long for a SKILL.md overview, with schema definitions repeated and opt-in behavior explained at excessive length.