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multi-expert-analyzer

针对通用问题进行多领域专家联合分析, 综合稿产生前必经 fact-checker 与 red-team 两道独立校验。适用场景: 用户提出跨领域或不确定领域的复杂问题, 需要从多个专家角度分别搜证并相互校验后综合成文, 例如该不该买房、该不该跳槽、是否进入某个赛道等。触发关键词: 多角度分析、专家分析、综合分析、多视角、跨领域分析、从不同角度看、深度分析。问题只属于单一明确领域时, 优先使用该领域的专门 skill, 例如纯财务用 finance-core-analysis、纯技术用 software-architect。输出 (全部 markdown 保存到当前项目 markdown/ 目录): (1) 每位专家的中间分析稿; (2) 事实核查报告 (跨专家矛盾 / 未经证实的主张 / 重叠区); (3) 红队反驳报告 (逐条反驳承重墙级主张, 给出 SURVIVES / WEAKENS / REFUTED 裁定); (4) 第一人称、通俗易懂的最终综合长文, 同时报告哪些主张通过验证、多少被弱化、多少被剔除。

69

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-sequenced, highly actionable workflow with strong validation gates and a clean reference structure. Its main weakness is verbosity — rationale paragraphs and a redundant failure-mode catalog could be trimmed to improve token efficiency.

Suggestions

Trim the rationale paragraphs ("为什么必须落盘", "为什么要有具体人设") to one line each or move them into the relevant reference files; the rules already justify themselves.

Consolidate the 失败模式 section — most entries restate workflow rules; keep only the entries that add genuinely new failure modes not already covered inline.

Move the full report skeleton code blocks (factcheck, redteam) into the existing templates in assets/ and reference them by name, reducing the inlined bulk in SKILL.md.

DimensionReasoningScore

Conciseness

The ~336-line body is mostly efficient and does not explain basic concepts Claude already knows, but it carries noticeable padding in rationale blocks ("为什么必须落盘", "为什么要有具体人设") and a large failure-modes section that restates rules already embedded in the workflow.

3 / 5

Actionability

Provides exact file-naming rules with kebab-case and date formats, fixed report structures in code blocks, per-item verification checklists, named tools (mcp__MiniMax__web_search, WebFetch), and concrete filename examples — fully executable guidance for the common cases.

5 / 5

Workflow Clarity

Seven numbered steps include hard validation gates (3.7 self-verification, fact-check, red-team) with explicit feedback loops (re-validate until pass, max two rounds, fallback to "关键盲点") and a pre-output self-check checklist covering batch outputs.

5 / 5

Progressive Disclosure

The body is an overview pointing to six real bundle files (all referenced paths resolve) listed in a 资源 section with one-line descriptions and step signals, one level deep; minor gap is that substantial report skeletons are inlined rather than living entirely in the templates.

4 / 5

Total

17

/

20

Passed

Description

88%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concrete, trigger-rich, and complete, clearly stating both the capability and when to invoke it while disambiguating from single-domain skills. Its main weakness is a slightly long but information-dense formulation rather than any vagueness.

DimensionReasoningScore

Specificity

Enumerates multiple concrete deliverables — per-expert drafts, a factcheck report, a red-team report with explicit SURVIVES/WEAKENS/REFUTED verdicts, and a first-person synthesis reporting claim counts — giving comprehensive coverage of what the skill produces.

5 / 5

Completeness

Explicitly answers both what it does (the multi-expert pipeline and four output files) and when to use it (cross-domain scenarios, trigger keywords, and explicit non-applicable cases directing to single-domain skills).

5 / 5

Trigger Term Quality

Lists natural Chinese trigger phrases users would say ("多角度分析", "专家分析", "多视角", "跨领域分析", "从不同角度看", "深度分析") plus concrete example scenarios; coverage is good but a few natural synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Names sibling skills to defer to (finance-core-analysis, software-architect) and states non-applicable conditions, carving a clear niche with only minor overlap risk against general analysis skills.

4 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
digoal/blog
Reviewed

Table of Contents

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