盘前 8 问和市场分析检查清单。每次交易决策前执行标准化的 8 问质询,确保趋势、结构、偏见和执行条件完整验证。当需要评估是否入场、分析当前市场状态或执行盘前检查时使用此 Skill。
93
91%
Does it follow best practices?
Impact
95%
2.26xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description that clearly defines its trading analysis niche with explicit trigger conditions. The description effectively communicates when to use the skill and provides enough context about the 8-question methodology. The main weakness is that it could be more specific about what concrete actions or outputs the skill produces beyond 'verification'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (pre-market analysis, trading decisions) and mentions specific elements like '8 questions', 'trend, structure, bias, execution conditions', but doesn't list the actual concrete actions or what the 8 questions are. | 2 / 3 |
Completeness | Clearly answers both what ('执行标准化的8问质询,确保趋势、结构、偏见和执行条件完整验证') and when ('当需要评估是否入场、分析当前市场状态或执行盘前检查时使用此Skill'). Has explicit 'Use when' equivalent clause. | 3 / 3 |
Trigger Term Quality | Includes natural Chinese trading terms users would say: '盘前' (pre-market), '交易决策' (trading decision), '入场' (entry), '市场状态' (market state), '盘前检查' (pre-market check). Good coverage of natural trigger terms. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche - pre-market 8-question checklist for trading. The combination of '盘前8问', standardized questioning, and trading decision context creates a distinct trigger profile unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured trading checklist skill with excellent actionability and workflow clarity. The 8-question framework provides clear sequential validation with explicit pass/fail criteria and a concrete output template. Minor improvement could come from splitting detailed reference material (phase characteristics, wave analysis) into separate files for better progressive disclosure.
Suggestions
Consider moving the phase characteristics table and Elliott Wave details to a separate REFERENCE.md file, keeping SKILL.md as a lean checklist with links to deeper material
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is lean and efficient - uses tables, checklists, and structured formats without explaining basic concepts Claude already knows. Every section serves a clear purpose with no padding. | 3 / 3 |
Actionability | Provides concrete checklists, specific criteria for each question, clear decision rules (e.g., M5+M15+H1 alignment), and a complete JSON output template that is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear 8-step sequential process with explicit validation checkpoint at Q8. The final checklist serves as a gate that must pass before action, with explicit 'WAIT/HOLD' fallback for failures. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and tables, but everything is inline in a single file. For a skill of this length (~100 lines), some content like the phase characteristics table or wave analysis details could be referenced externally. | 2 / 3 |
Total | 11 / 12 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
3069d33
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.