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simulate-elite-experts

通过模拟相关领域顶级专家的思考、分歧与收敛,辅助高复杂度、高风险决策。 用于用户要求模拟顶尖人物、比较强势观点,或询问“应该找哪些优秀人物来讨论某个问题,以及他们可能会怎么说”。 适用于“用世界级专家视角思考”“模拟顶级领域专家”“扮演最强领域人物”和“使用四视角对话”等请求。

69

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

73%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 body is a well-engineered, highly actionable reasoning framework with strong workflow validation and real one-level references, but it is let down by verbosity from restating profile contracts multiple times. Consolidating the duplicated structure rules would tighten it significantly.

Suggestions

Consolidate the profile section/role/round contracts into a single authoritative table; remove the redundant restatements in 'Output Contract Guardrail', 'Controlled Execution Profiles', and 'Required Output Sections (By Profile)'.

Add one short inline worked example of a single dialogue turn with a confidence tag so the inference-annotation rule is unambiguous without requiring the template reference.

Move the per-profile output-section listings into references/output-templates.md (already referenced) and keep only the contract summary in SKILL.md to reduce token weight.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence, but the profile structure (section/role/round counts) is restated in at least four places — Output Contract Guardrail, Controlled Execution Profiles, Micro/Deep section lists, and Required Output Sections — adding notable redundancy.

3 / 5

Actionability

Highly concrete guidance — scoring matrices with explicit thresholds (e.g. 'Real Person A score >= 5/6'), confidence tag formats, exact section counts, and preflight/postflight checklists — with only a minor gap of no inline worked dialogue example.

4 / 5

Workflow Clarity

Clear 7-step workflow with explicit validation checkpoints (Gate 0 pre-check, scoring matrix, roster diversity gate, guardrail self-check), feedback loops via failure-mode recovery actions, and checklists for a complex process.

5 / 5

Progressive Disclosure

Good structure with one-level-deep references to real bundle files (eval-rubric.md, eval-cases.md, output-templates.md, scripts) clearly signaled in the evaluation and output-contract sections; minor organization gaps from inlined repeated rules.

4 / 5

Total

16

/

20

Passed

Description

95%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 strong: third-person voice, clearly states what the skill does and when to use it, and packs in many natural trigger phrases including synonyms. Minor specificity gap is the only thing keeping it from being perfect.

DimensionReasoningScore

Specificity

Names concrete actions — '模拟相关领域顶级专家的思考、分歧与收敛' and '辅助高复杂度、高风险决策' — listing several specific operations with only minor coverage gaps.

4 / 5

Completeness

Explicitly answers both 'what' (simulate expert thinking/divergence/convergence to assist decisions) and 'when' ('用于用户要求...适用于...等请求') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases including synonyms — '模拟顶尖人物', '比较强势观点', '用世界级专家视角思考', '模拟顶级领域专家', '扮演最强领域人物', '使用四视角对话' — that users would naturally say.

5 / 5

Distinctiveness Conflict Risk

Clear niche (four-lens elite-expert simulation) with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ooooooooooooooooooop/agent-tools
Reviewed

Table of Contents

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