Conciseness

The body is dense and efficient — channel tables, copy-paste commands, and decision thresholds with no filler explaining concepts Claude already knows. The motivational Section 0 recap of a prior report's lesson ('单一来源会系统性误导…') is minor over-explanation that could be trimmed, matching the level-4 anchor rather than the fully lean level-5 one.

Actionability

Every workflow gives fully executable commands ('node tools/research/research-cli.mjs bench-score frontiermath-tier-4-v2 gpt-6-astra_max') with concrete expected output ('{"score":0.976,"stderr":0.024}') and a specific decision rule ('stderr > 0.03 时，不要把该分数当精确结论引用'), matching the copy-paste-ready level-5 anchor.

Workflow Clarity

Section 2 lays out a clearly numbered four-step literature workflow with explicit validation gates — '先跑 probe 确认通道可用', '写报告前必做' citation verification with the hard rule '未核验的引用一律不得写进报告', and a pre-research 'snapshot' health check — while Section 4's pitfalls (429 rate limits, proxy behavior, token limits) provide error-recovery guidance, matching the level-5 anchor. Operations are read-only, so the destructive-operation cap does not apply.

Progressive Disclosure

The skill is a single self-contained file with no bundle directories, organized into clearly numbered sections with a scannable channel table. Structure is good and navigation easy, but at ~108 lines it exceeds the simple-skill threshold and content like the 14-channel table and known-pitfalls list could arguably live in a separate reference file, matching the minor-organization-gaps level-4 anchor rather than level 5.

Specificity

The description lists multiple concrete actions — '检索文献、核验引用、查基准分数、看价格与上下文、找开源实现、扫描社区信号' — and enumerates all 14 specific channels (arXiv, Crossref, OpenAlex, Epoch AI, GitHub, Hacker News, Hugging Face, OpenRouter, Vals AI, Scale SEAL, Stanford HAI, ARC Prize, METR), matching the comprehensive-coverage anchor.

Completeness

It explicitly answers 'what' ('多源研究通道工具箱…封装了…共 14 个通道') and 'when' with both an explicit '当需要…时使用' clause and a dedicated '触发场景：' list of concrete trigger phrases, exactly matching the level-5 anchor. Level 4 would require a weaker or less explicit 'when'.

Trigger Term Quality

The '触发场景' list provides natural user phrasings ('查文献、验引用、查谁引用了某篇、查某个基准的精确分数、比模型价格、找现成项目、看领域最新动态'), giving good keyword coverage. It falls short of the level-5 anchor because a few common natural terms (e.g., '论文', 'SOTA'/'state-of-the-art') are missing, but it is clearly above level 3.

Distinctiveness Conflict Risk

The niche — multi-source research retrieval/verification via 14 named channels including benchmark scores and model pricing — is mostly distinct with clear triggers. Minor overlap risk remains with closely related research skills (the body itself lists sibling skills 'research-protocol' and 'academic-research'), keeping it below the minimal-conflict level-5 anchor.