Lists multiple specific concrete actions: 'format-controlled research reports', 'evidence tracking', 'citations', 'source governance', 'multi-pass synthesis', 'source-type governance', 'AS_OF freshness checks', 'mandatory counter-review', 'citation registry', and 'circular verification forbidden'.

Clearly answers both 'what' (generate format-controlled research reports with evidence tracking, citations, source governance, multi-pass synthesis) and 'when' (explicit 'Use when' clause listing specific request types like research report, literature review, market analysis, plus explicit trigger phrases).

Excellent coverage of natural trigger terms in both English and Chinese, including phrases users would actually say like 'research this topic', 'write a report on', 'competitive analysis of', '帮我调研一下', '深度研究', '综述报告', plus domain-specific terms like '技术选型分析', '竞品研究', '行业报告'.

Highly distinctive with a clear niche around structured research reports with specific features like source governance, citation registry, and counter-review. The bilingual trigger terms and specific report types (literature review, competitive landscape, policy brief) make it unlikely to conflict with general writing or analysis skills.

The skill is extremely verbose at ~500+ lines with significant redundancy. Enterprise workflow is described in P0, then repeated in a separate 'Enterprise Research Mode' section. E3-E5 are detailed individually then summarized again as 'E3-E7'. Source governance tables, quality gates, and anti-patterns contain information Claude could infer. The 'Information Black Box' example is overly detailed for what is essentially 'report when no data is found.'

The skill provides structured phases (P0-P7) with specific output formats, registry templates, and status report strings, which is good. However, most guidance is procedural description rather than executable code/commands. The subagent dispatch examples use pseudocode-like 'SendMessage to:' syntax without concrete implementation. Search query examples and actual tool invocations are absent.

The multi-step workflow is clearly sequenced (P0→P7) with explicit validation checkpoints at each phase (status reports), quality gates with numeric thresholds, counter-review as mandatory with minimum issue count, P7 verification with spot-checks, and error recovery guidance (e.g., 're-examine if 0 found'). The enterprise pipeline also has L1/L2/L3 quality checks at stage transitions.

The skill has a clear overview structure with well-organized reference tables pointing to one-level-deep files (subagent_prompt.md, report_template_v6.md, enterprise_analysis_frameworks.md, etc.). References are grouped by context (Core V6, General, Enterprise) with 'When to Load' guidance. The main file serves as a coordinator overview without inlining the detailed reference content.