Conciseness

The body is mostly directive and dense, but includes clear tightening opportunities: the "Two failures waste months equally" rationale is stated twice (verbatim in the verdict-limits block and again in Important Rules), the reviewer-routing preamble is orchestration boilerplate peripheral to novelty checking, and time-sensitive content ("ICLR 2025/2026, NeurIPS 2025", "year filters for 2024-2026") is not isolated in a dated section. It is above the noticeably-verbose anchor because most tokens do earn their place, but below the efficient anchor.

Actionability

The guidance is fully executable: a copy-paste-ready MCP invocation with model and reasoning-effort config, a specified dossier file with its required contents, a verbatim block to forward to the reviewer, per-claim search tactics (3 query formulations, year filters, named venues), a complete markdown report template, and a concrete paper-verification helper with an explicit fallback policy (Policy D1). This matches the copy-paste-ready anchor covering the common cases.

Workflow Clarity

The process is a clearly sequenced four-phase workflow (extract claims → multi-source search → cross-model verification → structured report) with explicit validation checkpoints: abstract reading for candidate overlaps, mandatory pre-search verification of every prior-work paper via verify_papers.py, a degraded-output fallback when the helper fails, and REVIEW_UNAVAILABLE handling for the reviewer slot. The calibration limits bound the verdict step and permissive-tie guidance resolves ambiguity, matching the explicit-validation-with-feedback anchor. The workflow is read-only research, so the destructive/batch cap does not apply.

Progressive Disclosure

The skill is a single SKILL.md with no references/, scripts/, or assets/ bundle, yet the body leans on external files (../shared-references/reviewer-backends.md, integration-contract.md, citation-discipline.md, review-tracing.md) and helper scripts (verify_papers.py, reviewer_route.py, save_trace.sh) none of which exist in the bundle, so those links dangle; the routing preamble, citation-policy summary, and tracing policy are inlined here. References are clearly labeled with sections and are one conceptual level deep, but the unresolvable paths and inlined orchestration material keep this at the some-structure-could-be-better-organized anchor rather than the good-structure anchor.

Specificity

"Verify research idea novelty against recent literature" names the domain and the core action, but enumerates only that single action — no mention of the underlying steps (literature search, cross-model verification, structured report). This matches the anchor for domain plus 1-2 concrete actions; it is below the several-specific-actions anchor and clearly above the generic 'Processes PDF files' level.

Completeness

The description explicitly answers both questions: the 'what' ('Verify research idea novelty against recent literature') and the 'when' via an explicit 'Use when' clause with concrete trigger phrases. This matches the anchor that clearly and explicitly answers both with concrete triggers; it is not the level below, where the 'when' is merely present but less specific.

Trigger Term Quality

Triggers "查新", "novelty check", "有没有人做过", "check novelty" are natural phrases a user would actually say, with useful cross-language synonyms. Coverage is good but not comprehensive — common English variants like "has anyone done this", "prior work", or "is this novel" are missing, placing it at good-coverage-with-a-few-gaps rather than the comprehensive-synonyms anchor.

Distinctiveness Conflict Risk

Research-idea novelty verification is a clear niche, and triggers like "查新" and "novelty check" are distinctive phrases unlikely to fire for other skills (only mild adjacency to generic literature-review skills). It matches the clear-niche-with-distinct-triggers anchor with minimal conflict risk.